punkpeye/awesome-mcp-servers

MCPcommunity
punkpeyeMITUpdated 3mo agoGitHub

A collection of MCP servers.

Awesome MCP Servers web directory. A curated list of awesome Model Context Protocol (MCP) servers. Server Implementations MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database…

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Package
Authorpunkpeye
LicenseMIT
Sourcegithub
GitHubpunkpeye/awesome-mcp-servers
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: run `forge publish` from the repo to claim ownership
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 1mo agoHow well does this scan work?
EvalsNone
IndexedMay 24, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

No tool declarations found in the source1mo ago

Forge read 0 source files from the repository archive and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

About

Awesome MCP Servers web directory. A curated list of awesome Model Context Protocol (MCP) servers. Server Implementations MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services. Checkout awesome-mcp-clients and…

Keywords
aimcp
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No dependency coverage

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