github verified Safe content atomic container

MCP-server-AI-powered-document-retireval

This project implements a Model Context Protocol (MCP) server that enables AI models to perform semantic search and intelligent document retrieval from local or remote filesystems. The server facilitates RAG (Retrieval-Augmented Generation) workflows, enhancing AI context by retrieving information from diverse sources.

Cognium trust score
97%
Tier
Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
container
Source
GitHub
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
View source Find related skills

Use via MCP

MCP

Resolve MCP-server-AI-powered-document-retireval from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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