🚀 The fast, Pythonic way to build MCP servers and clients.
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Updated
May 17, 2026 - Python
🚀 The fast, Pythonic way to build MCP servers and clients.
Asynchronous coordination layer for AI coding agents: identities, inboxes, searchable threads, and advisory file leases over FastMCP + Git + SQLite
MCP Server para 70 APIs públicas brasileiras
The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
MCP-NixOS - Model Context Protocol Server for NixOS resources
Production-grade MCP server giving Claude 27 security intelligence tools across 21 APIs — CVE lookup, EPSS scoring, CISA KEV, MITRE ATT&CK, Shodan, VirusTotal, and more.
MaverickMCP - Personal Stock Analysis MCP Server
🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, lock/deadlock monitoring, autovacuum & schema inspection. No extensions required. PG 12-18.
A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.
专业的金融市场数据 MCP 服务器 - 支持A股/美股/加密货币,原生 MCP 协议,AI Agent 友好
A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Magg: The MCP Aggregator
This project provides an Interactive Brokers (IB) API interface using the Model Context Protocol (MCP).
MCP server giving AI assistants full access to Apple Mail - read, search, compose, organize & analyze emails via natural language
Turn Reddit's chaos into structured insights with full citations. MCP server for competitive analysis, customer discovery, and market research. Zero-setup hosted solution with semantic search across 20,000+ subreddits.
MCP Client which serves as bridge between mcp servers and local LLMs running on Ollama, Created for MCP Servers Developed by Me, However other MCP Servers may run as well
Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.
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