# Local Docs MCP Server

> Use this tool when you need to integrate multiple local documentation sources with AI assistants, enabling them to list, read, and search files across different namespaces. It solves problems of fragmented documentation and limited AI access to local knowledge bases. The tool takes in local documentation folders as input and outputs searchable, readable files to AI agents.

Canonical page: https://skillsregistry.net/skills/jwears-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jwears-mcp-server

## Description

Exposes multiple local documentation folders to AI assistants via tools for listing, reading, and searching files across namespaces.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/okrjb06fo4)
- **Repository:** <https://github.com/JWears/Mcp-server>

## 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": "jwears-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jwears-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jwears-mcp-server/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