awesome-mcp-servers
A comprehensive collection of Model Context Protocol (MCP) servers
GraphCanon updated 4w · GitHub synced 4w
Decision brief
Decision Facts for awesome-mcp-servers
Good fit when
- Need TypeScript-based MCP server implementations and resources.
- Focus on Model Context Protocol for advanced AI model interactions.
Avoid when
- Require backend languages other than TypeScript for MCP servers.
- Looking for a general-purpose AI development toolkit, not MCP-specific solutions.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No MCP manifest
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install awesome-mcp-serversHow it fits your stack(1)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository is a curated list of MCP server implementations and resources, primarily written in TypeScript. It focuses on the management and discovery of MCP servers, which are essential for advanced AI model interactions.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Jul 27, 2026
- MCP server
- Ships MCP server
Source: package.json:@modelcontextprotocol/* · Jul 27, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Jul 27, 2026
Categories
Tags
README
MCP Maintainer Quick Start
If you maintain an MCP server, the index can give your project a public profile, install-config previews, API metadata, and a README badge.
- Add your server in the best
docs/*.mdcategory, or use the Add MCP server issue form. - Include install, transport, auth, supported clients, docs, license, endpoint, and tool details when you have them.
- After merge, the follow-up comment gives you the public profile URL, API profile URL, install-config links, and badge markdown.
- Add the TensorBlock MCP Index badge to your project README so users can jump back to the indexed profile.
- Claim your profile or send metadata fixes through the claim profile and metadata improvement forms. Valid profile claims and structured metadata updates generate draft metadata PRs; once reviewed, merged, and deployed, the public profile shows maintainer claim status plus install, auth, docs, license, tool, and verification metadata when available. Claim status is separate from TensorBlock verification.
For agents
This page has a .md twin and JSON over the API.