How do I install the deeprepo mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `LLM_PROVIDER`, `EMBEDDING_PROVIDER`, `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GEMINI_API_KEY`, `HUGGINGFACE_API_KEY`, `OLLAMA_BASE_URL` 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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Deeprepo MCP Server

Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search.

Local serverstdioPython

What is the Deeprepo MCP Server?

Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search.

What the server does

A production-grade Python library for performing RAG (Retrieval Augmented Generation) on local codebases. No heavy frameworks, no external vector DBs, no cloud required.

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.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
ingest_codebase	One-time setup — index a repo directory
find_symbol	"Where is X defined / what line is X on"
get_file_structure	"Show me the API / functions in X"
explain_file	"How does X work / explain X / what does X do"
find_change_impact	"What breaks if I change X"
ask_codebase	Any open-ended question about the code
get_project_overview	"Give me an overview / what does this project do"

How to install the Deeprepo MCP Server

{
  "mcpServers": {
    "deeprepo": {
      "command": "uvx",
      "args": ["deeprepo"],
      "env": {
        "LLM_PROVIDER": "your-value",
        "EMBEDDING_PROVIDER": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "HUGGINGFACE_API_KEY": "your-value",
        "OLLAMA_BASE_URL": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Variable	Description	Required
LLM_PROVIDER	Configuration value read at startup.	Optional
EMBEDDING_PROVIDER	Configuration value read at startup.	Optional
OPENAI_API_KEY	Credential the server authenticates with.	Yes
ANTHROPIC_API_KEY	Credential the server authenticates with.	Yes
GEMINI_API_KEY	Credential the server authenticates with.	Yes
HUGGINGFACE_API_KEY	Credential the server authenticates with.	Yes
OLLAMA_BASE_URL	Endpoint or connection string the server talks to.	Yes

Example prompts to try

“Use Deeprepo to ingest codebase.”
“Use Deeprepo to find symbol.”
“Use Deeprepo to get file structure.”

Frequently asked questions

Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.