# wong2/awesome-mcp-servers

A curated list of Model Context Protocol (MCP) servers

Repository: https://github.com/wong2/awesome-mcp-servers
Canonical: https://ross.abutalabs.com/products/wong2-awesome-mcp-servers
Homepage: https://mcpservers.org
License: MIT
License Family: permissive
Last push: 2026-07-13T12:44:30+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 45
- inputs: {"age_days": 643, "days_push": 51, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4279, forks 1887 (observed 2026-08-28T04:08:41.144111+00:00)

## What it is
A curated, MIT-licensed list of Model Context Protocol (MCP) servers, organized into reference servers, official integrations, and community contributions, backed by the mcpservers.org directory website. It catalogs servers that let AI clients like Claude, Cursor, and ChatGPT connect to tools for filesystems, Git, web scraping, databases, finance, design, and more.

## Use cases
- find an MCP server to connect Claude to GitHub or GitLab
- discover MCP servers for web scraping and browser automation
- browse official MCP integrations for cloud platforms like Cloudflare
- look up MCP servers that expose OpenAPI specs as agent tools
- find reference MCP servers for learning the Model Context Protocol
- locate MCP servers for databases, finance data, or productivity tools

## When to choose
- you are building AI agents and need to discover available MCP servers
- you want a curated starting point for the MCP ecosystem
- you need to compare MCP servers by category such as development, finance, or web scraping

## When to avoid
- you need an MCP server implementation itself rather than a directory of links
- you want a runnable tool or SDK rather than a curated list
- you need guaranteed vetting or security auditing of listed servers

## Facets
- artifact type: learning-resource
- maturity: active
- function: mcp, developer-tools, documentation
- domain: artificial-intelligence, developer-tools, awesome-lists, large-language-models
- platform: cross-platform, self-hosted
- tags: awesome-list, mcp-servers, model-context-protocol, curated-list, llm-tools, ai-agent-integrations, ai-agents, web-server

## Member repositories
- wong2/awesome-mcp-servers (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:41.144111+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:59.165962+00:00, confidence not recorded.
  - readme: https://github.com/wong2/awesome-mcp-servers (fetched 2026-08-28T04:08:41.144111+00:00, sha 250b0c7dbe0f)
  - homepage: https://mcpservers.org (fetched 2026-08-29T09:11:43.119272+00:00, sha 8c941701bf29)
  - site_page: https://mcpservers.org/servers/count-nanocorp-app-docs (fetched 2026-08-29T09:11:43.134904+00:00, sha 85bca3aa54ba)
  - site_page: https://mcpservers.org/servers/blender-mcp (fetched 2026-08-29T09:11:43.128582+00:00, sha 73036bd5578c)
  - site_page: https://mcpservers.org/servers/context7-mcp-server (fetched 2026-08-29T09:11:43.130857+00:00, sha 60aa32fd399a)
  - site_page: https://mcpservers.org/servers/runbear-io-mcp (fetched 2026-08-29T09:11:43.132979+00:00, sha c2cddd7226af)
  - site_page: https://mcpservers.org/topics/openapi-mcp (fetched 2026-08-29T09:11:43.136756+00:00, sha 3ba2ada33539)
  - site_page: https://mcpservers.org/topics/coding-agent-mcp (fetched 2026-08-29T09:11:43.138367+00:00, sha 8f4a43b57ffc)
- Data as of 2026-08-30T08:39:29.467469+00:00.