How do I install the mcp ragnar mcp server?

This profile does not contain a verified copy-paste launch configuration. Follow the current project documentation to confirm the runtime, entry point, transport and authentication before registering it in your client.

What credentials does it need?

It reads `OPENAI_API_KEY`, `EMBED_ENDPOINT`, `EMBED_MODEL`, `MCP_DESCRIPTION`, `INDEX_ROOT` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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MCP Ragnar MCP Server

A local MCP server that implements RAG (Retrieval-Augmented Generation) with sentence window retrieval.

Local serverstdioPython

What is the MCP Ragnar MCP Server?

A local MCP server that implements RAG (Retrieval-Augmented Generation) with sentence window retrieval.

What it actually does

Document indexing with support for multiple file types (txt, md, pdf, doc, docx)
Sentence window retrieval for better context understanding
Configurable embedding models (OpenAI or local hugging face mode - i.e BAAI/bge-large-en-v1.5)
MCP server integration for easy querying

Configuration

Python 3.10+ - UV package manager

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the MCP Ragnar MCP Server

{
  "mcpServers": {
    "mcp-ragnar": {
      "command": "uvx",
      "args": [
        "mcp-ragnar"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY",
        "EMBED_ENDPOINT": "https://api.openai.com/v1",
        "EMBED_MODEL": "text-embedding-3-small",
        "MCP_DESCRIPTION": "My local Rust documentation",
        "INDEX_ROOT": "/tmp/index"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Python 3.10+ - UV package manager

Variable	Description	Required
OPENAI_API_KEY	Declared in the maintainer’s client configuration.	Check documentation
EMBED_ENDPOINT	Declared in the maintainer’s client configuration.	Optional
EMBED_MODEL	Declared in the maintainer’s client configuration.	Optional
MCP_DESCRIPTION	Declared in the maintainer’s client configuration.	Check documentation
INDEX_ROOT	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use MCP Ragnar to Indexing.”
“Use MCP Ragnar to Configuration.”

Frequently asked questions

A local MCP server that implements RAG (Retrieval-Augmented Generation) with sentence window retrieval. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.