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@patate/hermes-docs-mcp

v0.2.0

Published

MCP server to search and read NousResearch's Hermes Agent documentation

Readme

Hermes Docs MCP Server

MCP server that provides semantic search and document retrieval for NousResearch Hermes Agent documentation.

Uses a local embedding model (nomic-embed-text-v1.5, Q6_K quantized, ~108 MB) loaded via node-llama-cpp — no external API keys or network calls needed at query time.

What it does

Two MCP tools are exposed to connected AI agents:

| Tool | Description | |---|---| | search_docs | Semantic search across all docs. Returns ranked chunks with similarity scores, file paths, and content. | | get_document | Retrieves the full content of a specific doc file by path (e.g. user-guide/security.md). |

Install

Via npm (recommended)

npm install -g @patate/hermes-docs-mcp

Or run directly with npx:

npx @patate/hermes-docs-mcp

From source

git clone <repo> && cd hermes-doc
pnpm install
pnpm run setup    # downloads model + syncs docs + builds DB

The setup step does three things:

  1. Downloads the embedding model from Hugging Face (~108 MB, cached in models/)
  2. Syncs docs from the Hermes Agent GitHub repo (~27 MB tarball, written to docs/)
  3. Builds the database — chunks every .md file and generates embeddings (~15 min on M-series Mac)

MCP installation

Add the server to your MCP client config (e.g. ~/.config/<client>/mcp.json or your project's .mcp.json):

From npm

{
  "mcpServers": {
    "hermes-docs": {
      "command": "npx",
      "args": ["-y", "@patate/hermes-docs-mcp"]
    }
  }
}

From source

{
  "mcpServers": {
    "hermes-docs": {
      "command": "pnpm",
      "args": ["mcp"],
      "cwd": "<path-to-hermes-doc>"
    }
  }
}

Replace <path-to-hermes-doc> with the absolute path to this repo.

That's it — the MCP server auto-boots on first connection: if the model, docs, or database are missing, it downloads and builds them automatically.

Environment variables

| Variable | Values | Default | Description | |---|---|---|---| | HERMES_DOCS_MODE | cpu, gpu, auto | auto | Controls GPU offloading for embeddings. cpu forces CPU-only (gpuLayers=0), gpu pushes all layers to GPU (gpuLayers=max), auto lets the runtime decide. |

{
  "mcpServers": {
    "hermes-docs": {
      "command": "pnpm",
      "args": ["mcp"],
      "cwd": "<path-to-hermes-doc>",
      "env": {
        "HERMES_DOCS_MODE": "cpu"
      }
    }
  }
}

CLI tools

Besides the MCP server, standalone CLI tools are available (from source):

| Command | Description | |---|---| | pnpm run setup | Full setup: download model, sync docs, build DB | | pnpm query "how to deploy" | One-shot semantic search from terminal | | pnpm run sync-docs | Refresh docs from GitHub | | pnpm run build:db | Rebuild embeddings (e.g. after doc refresh) |

Publishing

npm login
npm publish --access public

Requirements

  • Node.js 20+
  • Xcode Command Line Tools (for native dependencies: better-sqlite3, node-llama-cpp)