Mcp AI Agent Skills

The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,

MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality. v0.3.0 Update: The MCP SDK ha

MetaMCP is a MCP proxy that lets you dynamically aggregate MCP servers into a unified MCP server, and apply middlewares. MetaMCP itself is a MCP server so it can be easily plugged into ANY MCP clients. For more details, consider visiting our documentation site: https://docs.metamcp.com English | 中文 - 🎯 Use Cases - 📖 Concepts - 🖥️ MCP Server - 🔐 Environment Variables \& Secrets (STDIO MCP Serve

CLI and MCP server for LinkedHelper automation. This project is brought to you by Alexey Pelykh. lhremote lets AI assistants (Claude, etc.) control LinkedHelper through the Model Context Protocol. It can: - App management — detect, launch, and quit LinkedHelper instances - Account & instance control — list accounts, start/stop instances, check status - Campaign automation — create, configure, star

Smart context management for LLM development workflows. Share relevant project files instantly through intelligent selection and rule-based filtering. Getting the right context into LLM conversations is friction-heavy: - Manually finding and copying relevant files wastes time - Too much context hits token limits, too little misses important details - AI requests for additional files require manual

The goal of this MCP is to: - Consolidate ESP-IDF and related project commands in one place. - Simplify getting started using only LLM communication. Simply find a command that is missing from this MCP and create a PR for it! If you want someone to help you with this implementation, just open an issue. This project is currently a Proof of Concept (PoC) for an MCP server tailored for ESP-IDF workfl

AI can build products. But it still doesn't talk to users. Usercall MCP lets AI agents run user interviews via voice calls and return structured insights with themes and verbatim quotes. Works with Claude Desktop, Cursor, and any MCP-compatible client. AI agents can now build and ship products extremely quickly. But most agents still rely on synthetic feedback or assumptions about users. Usercall

Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering

Enterprise-grade Chrome automation for AI agents with compliance-ready logging Enterprise Features • Compliance Logging • Security Features • Quick Start • Docker Deploy Built for corporate environments where security, compliance, and auditability are non-negotiable. SIEM-ready logging in industry-standard formats. Every tool execution, credential access, and security event is logged. - authentica

MCP Assistant Web-based MCP client for remote servers and AI tool workflows. MCP Assistant addresses common pain points when working with the Model Context Protocol: - Connect to remote MCP servers from one interface - Manage multiple MCP servers from a single interface - Handle OAuth 2.0 and OpenID Connect flows without manual token juggling - Explore available tools and run them directly from th

A Model Context Protocol server for Zotero integration. It gives any LLM full access to your Zotero library: search, organize, add papers by DOI, import PDFs, read full-text content, and inject live citations into Word documents. The server is designed to be usable by any LLM without external documentation. On connection, it sends workflow instructions via the MCP instructions field, and each tool

aka Vibe Debugging This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions. That means it should also work with other models / clients etc. but I only demonstrate it with Claude Desktop and Continue here. It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode. 1. Download the extension from re

THE PROJECT HAS BEEN SPLIT AND MOVED TO INDIVIDUAL REPOSITORIES. - Google Kit: Tools for Gmail, Google Calendar, Google Chat - RAG Kit: Tools for RAG, Memory - Dev Kit: Tools for developers, jira, confluence, gitlab, github, ... - Fetch Kit: Tools for fetch, scrape, ... - Research Kit: Tools for research, academic, reasoning, ... A powerful Model Context Protocol (MCP) server implementation with i

MCP server for spatial transcriptomics analysis via natural language Using Claude Code / Codex / OpenCode? Just paste this: Manual installation See Installation Guide for detailed setup including virtual environments and all MCP clients. 60+ methods across 15 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH. MIT License · GitHub · Issues

A Model Context Protocol (MCP) server providing 58 AI-optimized tools for .NET/C semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn. Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone. Then run with: 1. Install the tool globally: 2. Create .mcp.json in your project root: 3. Restart

Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Antigravity, Claude Desktop, or Cursor). It allows agents to "learn" skills on demand without requiring you to manually copy files into every project. Discovery: listskills - Scans your configured skill directories. Dynamic Learning: readskill

Official Model Context Protocol server for BlogBurst — AI-powered content generation, repurposing, and multi-platform publishing. - Blog Generation — Generate complete blog posts from topics - Content Repurposing — Turn URLs or text into platform-ready social media posts - Platform Content — Generate optimized content for 9+ platforms (Twitter, LinkedIn, Reddit, Bluesky, Threads, Telegram, Discord

An MCP (Model Context Protocol) server that brings authoritative medical information into AI coding environments like Cursor and Claude Desktop. - 🔒 Your Data Never Leaves – Runs 100% locally; no tracking, no logs, no cloud - 🆓 No API Keys – Works out of the box, zero configuration - 🏥 Authoritative Sources – FDA, WHO, PubMed, RxNorm, Google Scholar, AAP, pediatric journals - ⚡ Easy Setup – One

Generate mermaid diagram and chart with AI MCP dynamically. Also you can use: - mcp-server-chart to generate chart, graph, map. - Infographic to generate infographic, such as Timeline, Comparison, List, Process and so on. - Fully support all features and syntax of Mermaid. - Support configuration of backgroundColor and theme, enabling large AI models to output rich style configurations. - Support

An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f

Free Local RAG for Claude Code - Save Tokens & Time 日本語版はこちら | Japanese Version DevRag is a lightweight RAG (Retrieval-Augmented Generation) system designed specifically for developers using Claude Code. Stop wasting tokens by reading entire documents - let vector search find exactly what you need. When using Claude Code, reading documents with the Read tool consumes massive amounts of tokens: - ❌

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find

Stop copy-pasting between AI models. Roundtable AI is a local MCP server that lets your primary AI assistant delegate tasks to specialized models like Gemini, Claude, Codex, and Cursor. Solve complex engineering problems in parallel, directly from your IDE. Key Features: - Context Continuity: Shared project context across all sub-agents - Parallel Execution: All agents work simultaneously - Model