# MCP Tooling Lab

> Use this tool when you need to generate embeddings, index documents, and perform semantic vector searches to enable retrieval-augmented generation pipelines. It solves problems related to internal knowledge assistants and document-based workflows by providing a Node.js-based server that integrates with OpenAI and Chroma. The tool takes in documents and queries as input and outputs relevant search results and embeddings, making it ideal for use cases that require efficient and accurate information retrieval.

Canonical page: https://skillsregistry.net/skills/kaypon-mcp-tooling-lab  
JSON: https://api.skillsregistry.net/v1/skills/kaypon-mcp-tooling-lab

## Description

A Node.js-based MCP server that enables AI agents to generate embeddings, index documents, and perform semantic vector searches using OpenAI and Chroma. It facilitates the creation of retrieval-augmented generation (RAG) pipelines for internal knowledge assistants and document-based workflows.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k1rsbzrjg6)
- **Repository:** <https://github.com/kaypon/mcp-tooling-lab>

## 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": "kaypon-mcp-tooling-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaypon-mcp-tooling-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaypon-mcp-tooling-lab/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
