# punkpeye/awesome-mcp-servers

A collection of MCP servers.

Repository: https://github.com/punkpeye/awesome-mcp-servers
Canonical: https://ross.abutalabs.com/products/awesome-mcp-servers
Homepage: https://glama.ai/mcp/servers
License: MIT
License Family: permissive
Topics: ai, mcp
Last push: 2026-08-26T20:37:13+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 45
- inputs: {"age_days": 641, "days_push": 7, "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 92856, forks 15118 (observed 2026-08-28T04:12:23.440347+00:00)

## What it is
A curated, community-maintained list of Model Context Protocol (MCP) servers that extend AI model capabilities with file access, database connections, and API integrations. It includes a categorized directory of server implementations with language, scope, and platform annotations, plus links to clients, tutorials, and community resources.

## Use cases
- find an MCP server for connecting AI assistants to databases
- discover MCP servers for browser automation or web scraping
- browse a catalog of Model Context Protocol server implementations
- find official MCP servers for a specific SaaS API
- learn how to set up MCP with Claude Desktop
- find MCP servers written in Python or TypeScript

## When to choose
- you want to discover which MCP servers exist for a given integration or capability
- you need a starting point to evaluate the MCP ecosystem before building your own server
- you want community-maintained, categorized references with tutorials and client links

## When to avoid
- you need an actual MCP server implementation rather than a directory of links
- you need guaranteed up-to-date or vetted security status for every listed server
- you want a searchable API-backed registry rather than a markdown list (consider the synced web directory instead)

## Facets
- artifact type: learning-resource
- maturity: active
- function: mcp, developer-tools, documentation
- domain: artificial-intelligence, developer-tools, awesome-lists
- platform: cross-platform
- tags: awesome-list, model-context-protocol, curated-list, mcp-servers, llm-tools, ai-agents

## Member repositories
- punkpeye/awesome-mcp-servers (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:23.440347+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 2026-08-29T16:12:43.767214+00:00, confidence not recorded.
  - readme: https://github.com/punkpeye/awesome-mcp-servers (fetched 2026-08-28T04:12:23.440347+00:00, sha b73902e5f7c8)
  - homepage: https://glama.ai/mcp/servers (fetched 2026-08-28T17:35:27.333675+00:00, sha 6356299ef8d1)
  - site_page: https://glama.ai/mcp/categories/documentation-access (fetched 2026-08-28T17:35:27.343737+00:00, sha c76d5588174e)
- Data as of 2026-08-30T08:39:29.467469+00:00.