🚀 The fast, Pythonic way to build MCP servers and clients.
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Updated
Jul 14, 2026 - Python
Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external tools, data sources, and services. MCP uses a client-server architecture where AI-powered applications (clients) communicate with lightweight programs (servers) that expose specific capabilities through a standardized interface.
MCP servers can provide tools (executable functions), resources (read-only data), and prompts (reusable templates). The protocol supports multiple transport mechanisms including stdio for local processes and HTTP with Server-Sent Events for remote connections.
The protocol was created by Anthropic and released as an open specification. It is supported by AI tools including Claude Code, Cursor, Codex, Windsurf, and Claude Desktop.
🚀 The fast, Pythonic way to build MCP servers and clients.
Build autonomous AI agents in Python.
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
The Unofficial and Awesome Home Assistant MCP Server
TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.
A Model Context Protocol server for searching and analyzing arXiv papers
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
🤖 Local-assist BOSS Zhipin CLI for AI agents — search, welfare filtering, shortlist, JSON-envelope output; low-risk & compliant by default.
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
The Simple Agent Development Kit.
Offensive-security MCP server with 205 wrapped tools, 17 specialist agents, and 60 SPA-aware probes for OWASP Top 10. CLI + MCP, BYO LLM. No API key needed on MCP path.
An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
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.
Created by Anthropic
Released November 2024