# cfabric-mcp

> Use this tool when you need to perform advanced corpus analysis tasks, such as discovery, search, and data access, to uncover insights and patterns in large datasets. The cfabric-mcp tool enables AI agents to interact with corpora via the Model Context Protocol, solving problems related to data exploration and retrieval. It accepts corpus data as input and outputs relevant information and insights, making it ideal for use cases that require efficient data analysis and knowledge extraction.

Canonical page: https://skillsregistry.net/skills/context-fabric-context-fabric  
JSON: https://api.skillsregistry.net/v1/skills/context-fabric-context-fabric

## Description

Enables AI agents to perform corpus analysis tasks such as discovery, search, and data access via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cpvwyvfz7y)
- **Repository:** <https://github.com/Context-Fabric/context-fabric>

## 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": "context-fabric-context-fabric"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/context-fabric-context-fabric` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/context-fabric-context-fabric/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