# chaindocs_MCP_example

> chaindocs_MCP_example — thomassuedbroecker-chaindocs-mcp-example. Use this tool when you need to index and search local Markdown and text files, and expose document retrieval tools over Streamable HTTP. It solves problems related to document management and search by splitting files into searchable chunks, allowing for efficient retrieval of specific information. Ideal for use cases where local file search and retrieval are necessary, with a simple interface for inputs and outputs over HTTP.

Canonical page: https://skillsregistry.net/skills/thomassuedbroecker-chaindocs-mcp-example  
JSON: https://api.skillsregistry.net/v1/skills/thomassuedbroecker-chaindocs-mcp-example

## Description

LangChain-based MCP server example that indexes local Markdown and text files, splits them into searchable chunks, and exposes document search and retrieval tools over Streamable HTTP. The repo includes open-source-only dependencies, architecture documentation, automated tests, and verified coverage.

## 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:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/thomassuedbroecker/chaindocs_MCP_example)

## 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": "thomassuedbroecker-chaindocs-mcp-example"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thomassuedbroecker-chaindocs-mcp-example` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thomassuedbroecker-chaindocs-mcp-example/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