# mcp-ai-workspace

> Use this tool when you need to integrate large language models (LLMs) with a local repository of markdown documents for efficient document retrieval and evaluation. It solves problems related to information retrieval and knowledge base questioning by providing a searchable vector store and evaluating retrieval performance through metrics like hit rate and MRR. The tool takes markdown documents as input and outputs relevant documents based on search queries, making it ideal for applications requiring accurate and rapid information retrieval.

Canonical page: https://skillsregistry.net/skills/nickbiird-mcp-ai-workspace  
JSON: https://api.skillsregistry.net/v1/skills/nickbiird-mcp-ai-workspace

## Description

Exposes document retrieval as an MCP tool, enabling LLMs to search a local vector store of markdown documents. Includes a retrieval evaluation harness to measure hit rate and MRR.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-18

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ilwy852fy0)
- **Repository:** <https://github.com/nickbiird/mcp-ai-workspace>

## 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": "nickbiird-mcp-ai-workspace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nickbiird-mcp-ai-workspace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nickbiird-mcp-ai-workspace/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
