How do I install the chunkhound 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.

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Chunkhound MCP Server

Open-source codebase intelligence that gives agents and teams cited context across current code, git history, and technical web research.

Local serverstdioPython

What is the Chunkhound MCP Server?

Chunkhound source profile. From the maintainer documentation: “Open-source codebase intelligence that gives agents and teams cited context across current code, git history, and technical web research.”

Configuration and credentials

Python 3.10+ - uv — install via curl -LsSf https://astral.sh/uv/install.sh | sh - API keys (optional — regex search works without any): - Embeddings: VoyageAI (recommended) | OpenAI | Ollama (local) - LLM: Claude Code CLI or Codex CLI (no key needed) |

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
local	only or security-sensitive environments

Configuration

Python 3.10+ - uv — install via curl -LsSf https://astral.sh/uv/install.sh | sh - API keys (optional — regex search works without any): - Embeddings: VoyageAI (recommended) | OpenAI | Ollama (local) - LLM: Claude Code CLI or Codex CLI (no key needed) |

Example prompts to try

“Use Chunkhound to Embeddings.”
“Use Chunkhound to LLM.”
“Use Chunkhound to Autodoc.”

Frequently asked questions

<picture> <source media="(prefers-color-scheme: dark)" srcset="site/public/logo-light.svg"> Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.