# MCP Generix

> Use this tool when you need to efficiently search and manage shared documentation using natural language queries. It solves problems of information retrieval and document management by providing semantic search capabilities, enabling users to find relevant documents by meaning. The tool takes in natural language inputs and outputs relevant document listings and content, making it ideal for use cases where quick access to specific information within large document collections is required.

Canonical page: https://skillsregistry.net/skills/itsphily-mcp-generix  
JSON: https://api.skillsregistry.net/v1/skills/itsphily-mcp-generix

## Description

Provides semantic search and management of shared documentation using ChromaDB and OpenAI embeddings. It enables users to query local documents by meaning, list files, and read content through natural language tools.

## Trust

- **Trust score (0–1):** 0.94
- **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/t9nut6b9bn)
- **Repository:** <https://github.com/itsphily/mcp_generix>

## 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": "itsphily-mcp-generix"
    }
  }
}
```

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