Model Context Protocol AI Agent Skills

MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. - Quick Start - Installation - Configuration - Client Setup - Data Protection - Test Suite - Disclaimer - Install MongoDB Lens - Configure MongoDB Lens - Set up your MCP Client (e.g. Claude D

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

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

Self-improving tool discovery for AI agents. Install one MCP server. Your agent finds the rest. npm · GitHub · Contributing Forage is an MCP server that lets AI agents discover, install, and learn to use new tools — automatically. When an agent hits a wall, it forages for the right tool, installs it, and teaches itself how to use it. No restarts. No manual config. The agent gets permanently smarte

A small FastMCP-based Microservice that renders LaTeX to PDF. The server exposes MCP tools to render raw LaTeX or templates and produces artifacts (a .tex file and .pdf) under src/artifacts/. This repository is prepared to run locally and to be loaded by Claude Desktop (via the Model Context Protocol). The default entrypoint is runserver.py. - Render raw LaTeX to .tex and (optionally) .pdf using p

One of the strange design decisions Anthropic made was depriving Claude of timestamps for messages sent by the user in claude.ai or current time in general. Poor Claude can't tell what time it is! mcp-simple-timeserver is a simple MCP server that fixes that. This server provides the following tools: All tools (except getlocaltime) use accurate time from NTP servers. If NTP is unavailable, they gra

Zero-hallucination answers • Gemini Deep Research • 14 Security Layers • Enterprise Compliance What's New 2026 • Deep Research • Document API • Create Notebooks • Security • Install - 🔍 Query your NotebookLM notebooks — source-grounded, zero-hallucination answers - 📚 Create & manage notebooks programmatically — no manual clicking - 🎙️ Generate audio overviews — podcast-style summaries of your d

Lightweight logging & observability for agent work across clients (Codex, Claude, Cursor, ChatGPT, OpenClaw, and others). - One MCP tool (logwork) that aggregates work done across different agents for single or multiple users. - Define your own logging structure with custom schemas (or use built-in profiles) once, and the MCP schema will guide clients to log with correct payloads. - This lets team

Give AI assistants the power to query your Prometheus metrics. A [Model Context Protocol][mcp] (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data. [mcp]: https://modelcontextprotocol.io - Prometheus server accessible from your environment - MCP-compatible client

P-Link MCP Server is a server compliant with the MCP (Model Context Protocol), integrating fetch-402 client from coinbase, and HTTP 402 protocol on server side, allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a payment system on Solana. It provides a simple interface to: - Pay 402 links - Create 402 payment links (supporting agent payment on Solana and human payment by car

A production-ready Model Context Protocol (MCP) server for Method CRM API integration. This server enables LLMs to interact with Method CRM data through well-designed tools for tables, files, users, events, and API key management. - 20 Comprehensive Tools covering all Method CRM operations - API Key Authentication (fully implemented) with OAuth2 placeholders - Dual Transport Support: stdio (local)

A full-featured Model Context Protocol (MCP) server that provides seamless access to CustomGPT.ai APIs. Interact with your CustomGPT agents directly through Claude Code, Claude Web, and any MCP-compatible client. - List Agents: Browse all your CustomGPT agents with pagination - Get Agent Details: Retrieve detailed information about specific agents - Create Agents: Create new agents from sitemaps o

Give any AI the ability to build, validate, and deploy production multi-agent systems. This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform. An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire life

MCP-сервер для Altegio API — управление записями, клиентами, услугами, сотрудниками и расписанием через AI-ассистента. - 18 MCP-инструментов — записи, клиенты, услуги, сотрудники, расписание, финансы - CRUD-операции — полный цикл создания, чтения, обновления и удаления записей и клиентов - Умный поиск — автоопределение типа запроса (телефон, email, имя) - Docker-образ — multi-stage build на Alpine

An MCP server that gives Claude, Cursor, VS Code Copilot, and other AI assistants instant, offline access to TwitterAPI.io documentation. - 59 API endpoints with full HTTP method, body/query parameters, cURL examples, and response schemas - 32 guide pages covering pricing, authentication, rate limits, webhooks, streaming - 24 blog posts with tutorials and use cases - All v2 write endpoints documen

A Model Context Protocol (MCP) server that lets AI assistants use Go’s LSP (gopls) for navigation, diagnostics, testing, coverage, and more. This MCP server helps AI assistants to: - Use LSP to analyze Go workspaces - Navigate to definitions, references, and workspace symbols - Format, rename, and inspect code actions without leaving MCP - Run Go tests, coverage, go mod tidy, govulncheck, and modu

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

Update properties or content across many pages in a Notion database with dry-run and error recovery

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

Fast, local-first domain availability checks for MCP clients. Works with zero configuration using public RDAP/WHOIS, and optionally enriches results with registrar pricing via a backend you control. 🆕 v1.10.0: GoDaddy public endpoint integration! Enhanced fallback chain (RDAP → GoDaddy → WHOIS) with premium/auction domain detection. Circuit breaker pattern ensures resilience. 🤖 v1.9.0+: AI-power

MCP server for Kagi API integration This is a TypeScript-based MCP server that integrates the Kagi Search API. It demonstrates core MCP concepts by providing: - Tools for performing web searches and other operations using Kagi's API (currently in private beta) - kagisearch - Perform web searches using Kagi - Takes a query string and optional limit as parameters - Returns search results from Kagi's

MCP Server that enables LLMs to interact with the local filesystem. Provides tools for navigation, search, file management, and analysis — all scoped to allowed directories. Filesystem MCP exposes a rich set of tools for reading, writing, searching, and inspecting files and directories. All operations are strictly bounded to the directories you provide at startup, preventing access to any path out

A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon overlords. This creates a bridge between AI systems and the Stockfish chess engine via the MCP protocol. It handles multiple concurrent sessions because your AI probably wants to analyze seventeen positions simultaneously while you're still fig

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