# docs_search

> Use this tool when you need to efficiently locate relevant project documentation to inform code edits or understand project context. It solves problems of information discovery and knowledge retrieval by providing a semantic search index of markdown files. The tool takes in search queries as input and returns relevant markdown files as output, ideal for use before making code changes or when onboarding to a new project.

Canonical page: https://skillsregistry.net/skills/revinfedor-docs-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/revinfedor-docs-search-mcp

## Description

Enables AI agents to search project documentation via a semantic index, returning relevant markdown files to read before editing code.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m2k1jct7g8)
- **Repository:** <https://github.com/RevinFedor/docs_search_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "revinfedor-docs-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/revinfedor-docs-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/revinfedor-docs-search-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt