# xinPlugin_Chroma_fastMCP

> xinPlugin_Chroma_fastMCP — kimtsegzc-xinplugin-chroma-fastmcp. Use this tool when you need to efficiently search and cite text from large knowledge bases, as it indexes PDF, txt, and md documents into Chroma, enabling fast search, ingestion, and source listing. This tool solves problems related to information retrieval and citation, particularly in contexts where vast amounts of text data are stored in MinIO-hosted repositories. It accepts document inputs and outputs searchable, citable text, making it ideal for applications requiring rapid access to indexed knowledge.

Canonical page: https://skillsregistry.net/skills/kimtsegzc-xinplugin-chroma-fastmcp  
JSON: https://api.skillsregistry.net/v1/skills/kimtsegzc-xinplugin-chroma-fastmcp

## Description

Enables agents to retrieve and cite text from MinIO-hosted knowledge bases by indexing PDF/txt/md documents into Chroma and exposing search, ingestion, and source listing as MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dhjh2nfs4u)
- **Repository:** <https://github.com/KimTsegzc/xinPlugin_Chroma_fastMCP>

## 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": "kimtsegzc-xinplugin-chroma-fastmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kimtsegzc-xinplugin-chroma-fastmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kimtsegzc-xinplugin-chroma-fastmcp/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