Open-source MCP servers written in Python — compatible with Claude Code, Cursor, Windsurf, and Cline. Ranked by stars, quality score, and community activity. FastMCP, Anthropic SDK, and MCP-CLI projects included.
Python MCP Servers tools are AI-powered software designed to help developers and teams tackle python mcp servers-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 30 quality-scored python mcp servers tools across languages including Python.
In 2026, the AI agent ecosystem is maturing rapidly. Python MCP Servers tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — mcp-brasil, mcp-brasil, maverick-mcp — have earned an average of 1,297 GitHub stars, reflecting strong community validation. 26 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a python mcp servers tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is Python; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with mcp-brasil — it ranks highest in both star count and quality score.
MCP server for Basecamp 3 with OAuth, FastMCP, and 75 tools for projects, todos, messages, card tables, docs, uploads, and search.
MCP Python Interpreter: run python code. Python-mcp-server, mcp-python-server, Code Executor
Asynchronous coordination layer for AI coding agents: identities, inboxes, searchable threads, and advisory file leases over FastMCP + Git + SQLite
开盒即用的优雅管理mcp服务 | 结合Agent框架 | 作者听劝 | 已发布pypi | Vue页面demo
🚀 The fast, Pythonic way to build MCP servers and clients.
🐘 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.
Query, monitor, and manage Unraid servers via GraphQL API through MCP tools. Supports system info, Docker, VMs, array/parity, notifications, plugins, rclone, and live telemetry.
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.
MCP server giving AI assistants full access to Apple Mail - read, search, compose, organize & analyze emails via natural language
A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.
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.
MCP server for RustChain blockchain and BoTTube video platform — AI agent tools for earning RTC tokens. Built on createkr's RustChain SDK.
🌼 A token-friendly local MCP server for DaisyUI component documentation using their public llms.txt.
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
Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.
Async Python client for the Model Context Protocol with interactive CLI and reactive Web UI, connecting AI models to MCP servers via stdio and SSE
A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
支持查询主流agent框架技术文档的MCP server（支持stdio和sse两种传输协议）, 支持 langchain、llama-index、autogen、agno、openai-agents-sdk、mcp-doc、camel-ai 和 crew-ai
The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.
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.
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI assistant access to profiles, companies, jobs, and messages.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
MCP Server Framework and Tool Development library for building custom capabilities into agents.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 238 commands, 224 MCP tools, change-safety gates, audit evidence, zero API keys.
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| mcp-brasil | ★ 1.5k | Python | MIT | 48 |
| mcp-brasil | ★ 1.5k | Python | MIT | 47 |
| maverick-mcp | ★ 562 | Python | MIT | 51 |
| Basecamp-MCP-Server | ★ 88 | Python | MIT | 40 |
| mcp-python-interpreter | ★ 92 | Python | — | 34 |
| mcp_agent_mail | ★ 2.0k | Python | — | 53 |
| mcpstore | ★ 427 | Python | MIT | 37 |
| fastmcp | ★ 25.3k | Python | Apache-2.0 | 48 |
| MCP-PostgreSQL-Ops | ★ 148 | Python | MIT | 50 |
| magg | ★ 131 | Python | AGPL-3.0 | 25 |
| unraid-mcp | ★ 56 | Python | MIT | 38 |
| cve-mcp-server | ★ 561 | Python | Apache-2.0 | 46 |
| apple-mail-mcp | ★ 125 | Python | MIT | 47 |
| mcp-outline | ★ 143 | Python | MIT | 41 |
| RivalSearchMCP | ★ 90 | Python | MIT | 37 |
| rustchain-mcp | ★ 68 | Python | MIT | 44 |
| daisyui-mcp | ★ 58 | Python | MIT | 46 |
| stealth-browser-mcp | ★ 654 | Python | MIT | 49 |
| mcp-nixos | ★ 640 | Python | MIT | 44 |
| ipybox | ★ 72 | Python | Apache-2.0 | 36 |
| metabase-mcp | ★ 60 | Python | MIT | 40 |
| ultimate_mcp_client | ★ 147 | Python | — | 44 |
| semantic-scholar-fastmcp-mcp-server | ★ 107 | Python | MIT | 50 |
| python-mcp-server-client | ★ 153 | Python | — | 32 |
| optuna-mcp | ★ 76 | Python | MIT | 48 |
| lucidity-mcp | ★ 80 | Python | Apache-2.0 | 29 |
| linkedin-mcp-server | ★ 2.0k | Python | Apache-2.0 | 51 |
| golf | ★ 823 | Python | Apache-2.0 | 52 |
| arcade-mcp | ★ 896 | Python | MIT | 45 |
| roam-code | ★ 464 | Python | Apache-2.0 | 46 |
The top python mcp servers in 2026 are mcp-brasil, mcp-brasil, maverick-mcp. Agent Skills Hub ranks 30 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
mcp-brasil (1.5k stars) is the most adopted choice for general python mcp servers workflows, written in Python. mcp-brasil (1.5k stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with mcp-brasil — it has the deepest community and the most examples online.
Avoid pre-built python mcp servers when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
Python MCP Servers focuses specifically on open-source mcp servers written in python — compatible with claude code, cursor, windsurf, and cline. ranked by stars, quality score, and community activity. fastmcp, anthropic sdk, and mcp-cli projects included. Free MCP Servers is a related but distinct category — see https://agentskillshub.top/best/free-mcp-servers/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose python mcp servers when your primary goal is the specific task, and free mcp servers when the workflow is broader.
For most teams, yes. mcp-brasil has 1.5k stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most python mcp servers listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.