<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mcp on Noureddine RAMDI</title><link>https://ramdi.fr/tags/mcp/</link><description>Recent content in Mcp on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/mcp/index.xml" rel="self" type="application/rss+xml"/><item><title>Arkon: Structured enterprise knowledge synthesis with a unique LLM compilation pipeline</title><link>https://ramdi.fr/github-stars/arkon-structured-enterprise-knowledge-synthesis-with-a-unique-llm-compilation-pipeline/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/arkon-structured-enterprise-knowledge-synthesis-with-a-unique-llm-compilation-pipeline/</guid><description>Arkon is a self-hosted enterprise knowledge hub using a novel MRP pipeline for structured, traceable wiki compilation with external AI inference and workspace-scoped RBAC.</description></item><item><title>dataseo-mcp: wrapping Ahrefs SEO data as AI assistant tools via CAPTCHA bypass</title><link>https://ramdi.fr/github-stars/dataseo-mcp-wrapping-ahrefs-seo-data-as-ai-assistant-tools-via-captcha-bypass/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dataseo-mcp-wrapping-ahrefs-seo-data-as-ai-assistant-tools-via-captcha-bypass/</guid><description>dataseo-mcp is a Python MCP server that exposes Ahrefs SEO data by bypassing CAPTCHAs, offering AI coding assistants powerful SEO research tools integrated into IDEs like Claude and VS Code.</description></item><item><title>gimp-mcp: enabling AI-driven image editing with live feedback via Model Context Protocol</title><link>https://ramdi.fr/github-stars/gimp-mcp-enabling-ai-driven-image-editing-with-live-feedback-via-model-context-protocol/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gimp-mcp-enabling-ai-driven-image-editing-with-live-feedback-via-model-context-protocol/</guid><description>GIMP MCP bridges GIMP 3.2 with AI assistants via MCP, offering 56 tool commands and live PNG snapshots for AI-driven iterative image editing workflows.</description></item><item><title>GIS-MCP: enabling LLM-driven geospatial analysis through a Model Context Protocol server</title><link>https://ramdi.fr/github-stars/gis-mcp-enabling-llm-driven-geospatial-analysis-through-a-model-context-protocol-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gis-mcp-enabling-llm-driven-geospatial-analysis-through-a-model-context-protocol-server/</guid><description>GIS-MCP is a Python MCP server that exposes geospatial operations as structured tools for LLMs, bridging natural language and GIS workflows without coding.</description></item><item><title>Inside the claude-code-guide: a living CLI reference for Anthropic's Claude Code</title><link>https://ramdi.fr/github-stars/inside-the-claude-code-guide-a-living-cli-reference-for-anthropic-s-claude-code/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-claude-code-guide-a-living-cli-reference-for-anthropic-s-claude-code/</guid><description>The claude-code-guide repo is a continuously auto-updated shell-based CLI reference manual for Anthropic&amp;rsquo;s Claude Code AI assistant, covering installation, MCP integration, and extensions.</description></item><item><title>Integrating Google Workspace with AI agents via the google-docs-mcp server</title><link>https://ramdi.fr/github-stars/integrating-google-workspace-with-ai-agents-via-the-google-docs-mcp-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/integrating-google-workspace-with-ai-agents-via-the-google-docs-mcp-server/</guid><description>The google-docs-mcp server exposes Google Docs, Sheets, Drive, Gmail, and Calendar as callable tools for AI agents like Claude Desktop, enabling deep document and email automation via OAuth2.</description></item><item><title>jadx-ai-mcp: enabling AI-augmented reverse engineering of Android APKs with a JADX plugin and MCP server</title><link>https://ramdi.fr/github-stars/jadx-ai-mcp-enabling-ai-augmented-reverse-engineering-of-android-apks-with-a-jadx-plugin-and-mcp-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/jadx-ai-mcp-enabling-ai-augmented-reverse-engineering-of-android-apks-with-a-jadx-plugin-and-mcp-server/</guid><description>jadx-ai-mcp combines a JADX decompiler plugin with a Python MCP server, enabling AI assistants like Claude to perform live reverse engineering on Android APKs with 30+ interactive tools.</description></item><item><title>mcp-selenium: structured browser automation for AI agents via MCP</title><link>https://ramdi.fr/github-stars/mcp-selenium-structured-browser-automation-for-ai-agents-via-mcp/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mcp-selenium-structured-browser-automation-for-ai-agents-via-mcp/</guid><description>mcp-selenium exposes Selenium WebDriver as typed MCP tools for AI agents, supporting multi-browser automation with WebDriver BiDi diagnostics. Setup is easy with npx commands.</description></item><item><title>native-devtools-mcp: cross-platform AI agent control of native apps with macOS accessibility precision</title><link>https://ramdi.fr/github-stars/native-devtools-mcp-cross-platform-ai-agent-control-of-native-apps-with-macos-accessibility-precision/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/native-devtools-mcp-cross-platform-ai-agent-control-of-native-apps-with-macos-accessibility-precision/</guid><description>native-devtools-mcp provides a Rust-based MCP server letting AI agents control native desktop apps on macOS/Windows, Chrome/Electron browsers, and Android devices. It features macOS AX dispatch for precise, focus-free app control.</description></item><item><title>OpenChronicle: an AX-first local memory layer for LLM agents</title><link>https://ramdi.fr/github-stars/openchronicle-an-ax-first-local-memory-layer-for-llm-agents/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openchronicle-an-ax-first-local-memory-layer-for-llm-agents/</guid><description>OpenChronicle captures macOS accessibility events to build structured local memory for LLM agents. Its async pipeline produces persistent Markdown memory and an SQLite index.</description></item><item><title>ProxmoxMCP-Plus: A Python toolset for advanced Proxmox MCP protocol interaction</title><link>https://ramdi.fr/github-stars/proxmoxmcp-plus-a-python-toolset-for-advanced-proxmox-mcp-protocol-interaction/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/proxmoxmcp-plus-a-python-toolset-for-advanced-proxmox-mcp-protocol-interaction/</guid><description>ProxmoxMCP-Plus is a Python-based toolset enabling advanced interaction with Proxmox VE via MCP protocol. It offers flexible config and runtime modes for sysadmins and devs.</description></item><item><title>XcodeBuildMCP: Bridging AI Agents and Native Apple Development with MCP Tools</title><link>https://ramdi.fr/github-stars/xcodebuildmcp-bridging-ai-agents-and-native-apple-development-with-mcp-tools/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/xcodebuildmcp-bridging-ai-agents-and-native-apple-development-with-mcp-tools/</guid><description>XcodeBuildMCP exposes xcodebuild operations as MCP tools for AI coding assistants and CLI use, enabling automated iOS/macOS builds, testing, and debugging with a per-workspace daemon on macOS.</description></item><item><title>Nightingale: A Go-based alerting engine bridging observability and AI workflows</title><link>https://ramdi.fr/github-stars/nightingale-a-go-based-alerting-engine-bridging-observability-and-ai-workflows/</link><pubDate>Sat, 09 May 2026 11:42:26 +0000</pubDate><guid>https://ramdi.fr/github-stars/nightingale-a-go-based-alerting-engine-bridging-observability-and-ai-workflows/</guid><description>Nightingale is a Go alerting engine integrating multiple data sources and supporting AI-driven alert management via its MCP Server. It offers flexible notifications and self-healing capabilities.</description></item><item><title>Mapping the landscape of terminal-native AI coding agents: a curated directory analysis</title><link>https://ramdi.fr/github-stars/mapping-the-landscape-of-terminal-native-ai-coding-agents-a-curated-directory-analysis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-landscape-of-terminal-native-ai-coding-agents-a-curated-directory-analysis/</guid><description>A curated directory catalogs over 80 terminal-native AI coding agents and harnesses, highlighting open-source projects, platform agents, and emerging architectural patterns in the CLI AI agent space.</description></item><item><title>autoMate: a local-first AI hub exposing 40+ tools via MCP-over-HTTP</title><link>https://ramdi.fr/github-stars/automate-a-local-first-ai-hub-exposing-40-tools-via-mcp-over-http/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/automate-a-local-first-ai-hub-exposing-40-tools-via-mcp-over-http/</guid><description>autoMate exposes 40+ AI tools and 31 SaaS APIs via MCP-over-HTTP on localhost, with encrypted storage and multi-provider LLM support. A local AI infrastructure hub with privacy-first design.</description></item><item><title>ClawSync: A Convex-based multi-agent AI platform with shared soul documents and per-agent model routing</title><link>https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/clawsync-a-convex-based-multi-agent-ai-platform-with-shared-soul-documents-and-per-agent-model-routing/</guid><description>ClawSync offers a multi-agent AI platform using Convex backend, with shared soul documents for reusable personalities and per-agent model routing across popular LLMs. Explore its architecture and setup.</description></item><item><title>Supermemory: a unified memory and context engine for AI applications</title><link>https://ramdi.fr/github-stars/supermemory-a-unified-memory-and-context-engine-for-ai-applications/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/supermemory-a-unified-memory-and-context-engine-for-ai-applications/</guid><description>Supermemory replaces traditional RAG stacks with a unified AI memory layer, offering fast, hybrid memory retrieval and automatic fact extraction in ~50ms. Here&amp;rsquo;s how it works and how to try it.</description></item><item><title>Inside open-docs: reverse-engineering the internals of AI CLI coding agents</title><link>https://ramdi.fr/github-stars/inside-open-docs-reverse-engineering-the-internals-of-ai-cli-coding-agents/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-open-docs-reverse-engineering-the-internals-of-ai-cli-coding-agents/</guid><description>Open-docs reverse-engineers major AI CLI coding agents to reveal undocumented internals, security models, and integration patterns. A deep dive for developers building on these agents.</description></item><item><title>XCDocs: Local Apple Developer Documentation Search via Xcode's Vector Database</title><link>https://ramdi.fr/github-stars/xcdocs-local-apple-developer-documentation-search-via-xcode-s-vector-database/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/xcdocs-local-apple-developer-documentation-search-via-xcode-s-vector-database/</guid><description>XCDocs exposes Apple&amp;rsquo;s developer docs as a local searchable resource using Xcode&amp;rsquo;s vector database, enabling zero-maintenance, high-quality search for Swift devs and AI agents on macOS.</description></item><item><title>ai-trader: AI-powered config-driven backtesting with natural language interaction</title><link>https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-trader-ai-powered-config-driven-backtesting-with-natural-language-interaction/</guid><description>ai-trader adds natural language AI interaction to algorithmic trading backtesting via an MCP server and YAML configs. Supports US/TW stocks, crypto, forex with caching.</description></item><item><title>claude os: speeding up persistent ai memory for code with hybrid tree-sitter indexing</title><link>https://ramdi.fr/github-stars/claude-os-speeding-up-persistent-ai-memory-for-code-with-hybrid-tree-sitter-indexing/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-os-speeding-up-persistent-ai-memory-for-code-with-hybrid-tree-sitter-indexing/</guid><description>Claude OS cuts codebase indexing from hours to seconds using hybrid tree-sitter parsing, enabling fast persistent AI memory for Claude Code projects with local-first data storage.</description></item><item><title>claude-code-lsp-enforcement-kit enforces LSP-first code navigation to save tokens</title><link>https://ramdi.fr/github-stars/claude-code-lsp-enforcement-kit-enforces-lsp-first-code-navigation-to-save-tokens/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/claude-code-lsp-enforcement-kit-enforces-lsp-first-code-navigation-to-save-tokens/</guid><description>claude-code-lsp-enforcement-kit intercepts Grep/Read calls in Claude Code to enforce LSP-first navigation, saving ~73% tokens by redirecting to precise LSP MCP server calls with progressive read gating.</description></item><item><title>ctx: managing AI skills and agents with a context-aware knowledge graph</title><link>https://ramdi.fr/github-stars/ctx-managing-ai-skills-and-agents-with-a-context-aware-knowledge-graph/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ctx-managing-ai-skills-and-agents-with-a-context-aware-knowledge-graph/</guid><description>ctx builds a 104K-node knowledge graph to optimize AI skill and agent selection for Claude Code, solving context window bloat with a graph-based recommender and lifecycle management.</description></item><item><title>Exploring AI agent skills as design systems for UI development in awesome-ai-tools-for-ui</title><link>https://ramdi.fr/github-stars/exploring-ai-agent-skills-as-design-systems-for-ui-development-in-awesome-ai-tools-for-ui/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-ai-agent-skills-as-design-systems-for-ui-development-in-awesome-ai-tools-for-ui/</guid><description>A curated list of 30+ AI-powered tools and agent skills for UI/UX development, showcasing how SKILL.md files serve as new design systems for AI-driven design consistency.</description></item><item><title>freecad-mcp: bridging AI and parametric CAD through an MCP server</title><link>https://ramdi.fr/github-stars/freecad-mcp-bridging-ai-and-parametric-cad-through-an-mcp-server/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/freecad-mcp-bridging-ai-and-parametric-cad-through-an-mcp-server/</guid><description>freecad-mcp uses an MCP server to connect Claude Desktop AI with FreeCAD, enabling AI-driven parametric CAD modeling through RPC tools including arbitrary Python code execution.</description></item><item><title>graymatter: a modular MCP server for local-first AI prompt packages</title><link>https://ramdi.fr/github-stars/graymatter-a-modular-mcp-server-for-local-first-ai-prompt-packages/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/graymatter-a-modular-mcp-server-for-local-first-ai-prompt-packages/</guid><description>Graymatter is a Go-based MCP server managing modular prompt packages for AI agents like Claude Code, offering local-first lazy loading and easy integration with AI CLIs.</description></item><item><title>KiCAD MCP Server: Bridging AI and PCB Design with the Model Context Protocol</title><link>https://ramdi.fr/github-stars/kicad-mcp-server-bridging-ai-and-pcb-design-with-the-model-context-protocol/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/kicad-mcp-server-bridging-ai-and-pcb-design-with-the-model-context-protocol/</guid><description>KiCAD MCP Server connects LLMs with KiCAD for AI-driven PCB design operations, enabling schematic editing, routing, and custom footprint generation via the Model Context Protocol.</description></item><item><title>mcp-searxng: bridging AI assistants with private SearXNG-powered web search</title><link>https://ramdi.fr/github-stars/mcp-searxng-bridging-ai-assistants-with-private-searxng-powered-web-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mcp-searxng-bridging-ai-assistants-with-private-searxng-powered-web-search/</guid><description>mcp-searxng is a Node.js MCP server proxy that connects AI assistants to self-hosted SearXNG search via JSON API, enabling private, paginated web search and URL content extraction.</description></item><item><title>OpenPostings: self-hosted ATS aggregator with AI-driven job application automation</title><link>https://ramdi.fr/github-stars/openpostings-self-hosted-ats-aggregator-with-ai-driven-job-application-automation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/openpostings-self-hosted-ats-aggregator-with-ai-driven-job-application-automation/</guid><description>OpenPostings aggregates 500k daily jobs from 60+ ATS providers into a local app with AI-powered application automation via an MCP apply-agent server.</description></item><item><title>Paper2Agent: Automating the transformation of research paper codebases into interactive MCP servers</title><link>https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/paper2agent-automating-the-transformation-of-research-paper-codebases-into-interactive-mcp-servers/</guid><description>Paper2Agent automates converting research paper codebases into interactive MCP servers for AI coding agents, handling tutorial extraction, tool generation, and test coverage with minimal human input.</description></item><item><title>Station: a Go runtime for multi-agent AI orchestration with MCP stdio bridging</title><link>https://ramdi.fr/github-stars/station-a-go-runtime-for-multi-agent-ai-orchestration-with-mcp-stdio-bridging/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/station-a-go-runtime-for-multi-agent-ai-orchestration-with-mcp-stdio-bridging/</guid><description>Station is an open-source Go runtime that orchestrates multi-agent AI systems on self-hosted infrastructure using a Git-backed workflow and MCP stdio bridging. It supports 41 AI tools and multiple AI providers.</description></item><item><title>DeepChat: a unified Electron desktop platform for multi-LLM AI agents with ACP integration</title><link>https://ramdi.fr/github-stars/deepchat-a-unified-electron-desktop-platform-for-multi-llm-ai-agents-with-acp-integration/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepchat-a-unified-electron-desktop-platform-for-multi-llm-ai-agents-with-acp-integration/</guid><description>DeepChat is an Electron-based TypeScript desktop app unifying multi-LLM chat, MCP protocols, and ACP agent integration with remote control and Skills support.</description></item><item><title>Memcord: a privacy-first self-hosted MCP server for AI memory management</title><link>https://ramdi.fr/github-stars/memcord-a-privacy-first-self-hosted-mcp-server-for-ai-memory-management/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/memcord-a-privacy-first-self-hosted-mcp-server-for-ai-memory-management/</guid><description>Memcord is a self-hosted MCP server enabling local-first AI memory with slot-based context isolation and multiple summarization backends, designed for privacy and developer ergonomics.</description></item><item><title>memU Bot: structured semantic memory for enterprise AI agents</title><link>https://ramdi.fr/github-stars/memu-bot-structured-semantic-memory-for-enterprise-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/memu-bot-structured-semantic-memory-for-enterprise-ai-agents/</guid><description>memU Bot replaces flat memory with a semantic memory layer, cutting token use by 90%. It supports Telegram, Discord, Slack, and Feishu with quick setup and MCP integration.</description></item><item><title>OpenBSP API: a decoupled, multi-tenant WhatsApp Business platform with agentic infrastructure</title><link>https://ramdi.fr/github-stars/openbsp-api-a-decoupled-multi-tenant-whatsapp-business-platform-with-agentic-infrastructure/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/openbsp-api-a-decoupled-multi-tenant-whatsapp-business-platform-with-agentic-infrastructure/</guid><description>OpenBSP API offers a serverless, multi-tenant WhatsApp Business platform with a clean separation of messaging and AI agent logic using MCP over SSE and Supabase. Deploy in 15 minutes.</description></item><item><title>ordinary-claude-skills: an extensive local-first library of Claude prompt packages for specialized AI agents</title><link>https://ramdi.fr/github-stars/ordinary-claude-skills-an-extensive-local-first-library-of-claude-prompt-packages-for-specialized-ai-agents/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/ordinary-claude-skills-an-extensive-local-first-library-of-claude-prompt-packages-for-specialized-ai-agents/</guid><description>Discover ordinary-claude-skills, a local-first collection of 600+ prompt packages that specialize Claude AI with domain skills, integrated via MCP filesystem for lazy loading.</description></item><item><title>Using an MCP server to query Meta Ads API for AI-driven ad insights</title><link>https://ramdi.fr/github-stars/using-an-mcp-server-to-query-meta-ads-api-for-ai-driven-ad-insights/</link><pubDate>Mon, 04 May 2026 10:18:38 +0000</pubDate><guid>https://ramdi.fr/github-stars/using-an-mcp-server-to-query-meta-ads-api-for-ai-driven-ad-insights/</guid><description>This Python MCP server wraps Meta&amp;rsquo;s Facebook Ads API into 20+ tools, letting AI agents query ad data conversationally. Setup is simple with a single server.py and token auth.</description></item><item><title>Blueprint MCP: async AI diagram generation for code architecture visualization</title><link>https://ramdi.fr/github-stars/blueprint-mcp-async-ai-diagram-generation-for-code-architecture-visualization/</link><pubDate>Mon, 04 May 2026 10:17:20 +0000</pubDate><guid>https://ramdi.fr/github-stars/blueprint-mcp-async-ai-diagram-generation-for-code-architecture-visualization/</guid><description>Blueprint MCP is a Python MCP server that generates system diagrams from codebases asynchronously using Google&amp;rsquo;s Nano Banana Pro model, integrated with Arcade MCP and Cursor IDE.</description></item><item><title>Alpaca MCP Server v2: Spec-driven MCP integration for trading APIs</title><link>https://ramdi.fr/github-stars/alpaca-mcp-server-v2-spec-driven-mcp-integration-for-trading-apis/</link><pubDate>Mon, 04 May 2026 10:13:18 +0000</pubDate><guid>https://ramdi.fr/github-stars/alpaca-mcp-server-v2-spec-driven-mcp-integration-for-trading-apis/</guid><description>Alpaca MCP Server v2 rewrites the official MCP server using FastMCP and OpenAPI tools, exposing Alpaca&amp;rsquo;s Trading API via MCP for AI clients with env-var config and toolset filtering.</description></item><item><title>Apify MCP Server: Enabling autonomous AI agent payments for web automation tools</title><link>https://ramdi.fr/github-stars/apify-mcp-server-enabling-autonomous-ai-agent-payments-for-web-automation-tools/</link><pubDate>Mon, 04 May 2026 10:09:30 +0000</pubDate><guid>https://ramdi.fr/github-stars/apify-mcp-server-enabling-autonomous-ai-agent-payments-for-web-automation-tools/</guid><description>Apify MCP Server exposes 8,000+ web automation tools as MCP tools to AI agents, featuring agentic payments allowing autonomous crypto payments for tool execution. Supports HTTPS and local modes.</description></item><item><title>LobeHub: An extensible AI agent playground with MCP plugin architecture</title><link>https://ramdi.fr/github-stars/lobehub-an-extensible-ai-agent-playground-with-mcp-plugin-architecture/</link><pubDate>Sat, 02 May 2026 20:15:49 +0000</pubDate><guid>https://ramdi.fr/github-stars/lobehub-an-extensible-ai-agent-playground-with-mcp-plugin-architecture/</guid><description>LobeHub offers a TypeScript-based AI agent platform with a unique MCP plugin system for integrating 10,000+ skills and collaborative multi-agent workflows. Explore its architecture and developer experience.</description></item><item><title>Exploring the Model Context Protocol with awesome-mcp-servers: a curated directory of MCP server implementations</title><link>https://ramdi.fr/github-stars/exploring-the-model-context-protocol-with-awesome-mcp-servers-a-curated-directory-of-mcp-server-implementations/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-the-model-context-protocol-with-awesome-mcp-servers-a-curated-directory-of-mcp-server-implementations/</guid><description>awesome-mcp-servers is a curated list of Model Context Protocol (MCP) servers enabling AI models to interact securely with resources. This article explores its architecture, strengths, and how to navigate it.</description></item><item><title>How WordPress MCP Adapter standardizes AI agent interaction with WordPress</title><link>https://ramdi.fr/github-stars/how-wordpress-mcp-adapter-standardizes-ai-agent-interaction-with-wordpress/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-wordpress-mcp-adapter-standardizes-ai-agent-interaction-with-wordpress/</guid><description>The WordPress MCP Adapter converts WordPress&amp;rsquo;s Abilities API into the Model Context Protocol, enabling AI agents to interact with WordPress seamlessly through standardized tools and prompts.</description></item><item><title>Inside Google Gemini CLI: a terminal-first AI agent with extensible Model Context Protocol</title><link>https://ramdi.fr/github-stars/inside-google-gemini-cli-a-terminal-first-ai-agent-with-extensible-model-context-protocol/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-google-gemini-cli-a-terminal-first-ai-agent-with-extensible-model-context-protocol/</guid><description>Google Gemini CLI is a TypeScript-based terminal AI agent offering direct Gemini model access, extensibility via MCP, and advanced features like Google Search grounding. Here&amp;rsquo;s how it works and who should use it.</description></item><item><title>Langflow: Visual orchestration platform for AI agents and workflows</title><link>https://ramdi.fr/github-stars/langflow-visual-orchestration-platform-for-ai-agents-and-workflows/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/langflow-visual-orchestration-platform-for-ai-agents-and-workflows/</guid><description>Langflow offers a Python-based visual platform to build and deploy AI agents and workflows with multi-agent orchestration, vector DB support, and enterprise features.</description></item><item><title>TrendRadar: AI-powered multi-platform trend monitoring with MCP architecture</title><link>https://ramdi.fr/github-stars/trendradar-ai-powered-multi-platform-trend-monitoring-with-mcp-architecture/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/trendradar-ai-powered-multi-platform-trend-monitoring-with-mcp-architecture/</guid><description>TrendRadar is a self-hosted AI-driven tool for multi-platform trend monitoring, using MCP architecture for advanced language analysis and smart push notifications across popular messaging platforms.</description></item><item><title>Context7: injecting real-time, version-specific docs into LLM workflows</title><link>https://ramdi.fr/github-stars/context7-injecting-real-time-version-specific-docs-into-llm-workflows/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/context7-injecting-real-time-version-specific-docs-into-llm-workflows/</guid><description>Context7 tackles LLM hallucinations by injecting up-to-date, version-specific library docs directly into AI coding agents&amp;rsquo; context via CLI or MCP server integration.</description></item><item><title>Inside AI Engineering Hub: a hands-on collection of production-ready AI projects</title><link>https://ramdi.fr/github-stars/inside-ai-engineering-hub-a-hands-on-collection-of-production-ready-ai-projects/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ai-engineering-hub-a-hands-on-collection-of-production-ready-ai-projects/</guid><description>AI Engineering Hub offers 90+ production-ready AI projects spanning LLMs, RAG, AI agents, and MCP, organized by difficulty and real-world use cases.</description></item><item><title>Awesome LLM Apps: a practical collection of runnable AI agent and RAG templates</title><link>https://ramdi.fr/github-stars/awesome-llm-apps-a-practical-collection-of-runnable-ai-agent-and-rag-templates/</link><pubDate>Fri, 24 Apr 2026 18:26:13 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-llm-apps-a-practical-collection-of-runnable-ai-agent-and-rag-templates/</guid><description>Awesome LLM Apps offers 100+ runnable AI agent and RAG templates for quick LLM app development. It supports multiple providers and advanced multi-agent patterns with minimal setup.</description></item></channel></rss>