qdrant/mcp-server-qdrant

MCPcommunity
qdrantApache-2.0Updated 3mo agoGitHub

An official Qdrant Model Context Protocol (MCP) server implementation

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This repository is an example of how to create a MCP server for…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1kGitHub stars
276Forks
3mo agoLast update
Package
Authorqdrant
LicenseApache-2.0
Sourcegithub
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 · 3mo 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 source3mo 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

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This repository is an example of how to create a MCP server for Qdrant, a vector search engine. An official Model Context Protocol server for keeping and retrieving…

Keywords
claudecursorllmmcpmcp-serversemantic-searchwindsurf
Alternatives
Comparing tool surfaces…

No dependency coverage

This entry publishes no npm package, so Forge has no dependency tree for it. That is a gap in coverage — not a statement that it has no dependencies.

Topics

Related in search & retrieval