Helix MCP Server

Helix MCP Server

A local-first MCP server providing secure workspace file operations, offline full-text search, and web search/fetch capabilities without requiring API keys.

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README

Helix MCP Server

A modern, local-first Model Context Protocol (MCP) server built with Python and managed by uv.

This server is designed to work fully offline (e.g. alongside llama-server running local models like Gemma 2) while providing secure workspace operations, offline searching, and modular web capabilities without requiring paid API keys.

Features

  • 🔌 Standard stdio Transport: Connects seamlessly to standard MCP clients like Claude Desktop.
  • 🛡️ Secure Filesystem Boundary: All file operations (read, write, delete, list, move) are strictly confined to the workspace root directory.
  • 🔎 Offline Search & Indexer: Built-in SQLite FTS5 (Full-Text Search) engine that indices all text and code files in the workspace locally.
  • 👁️ File Change Watcher: Background thread utilizing watchdog to monitor workspace additions, deletions, modifications, and moves.
  • 🌐 Zero-Cost Web Search: Multi-adapter web search using DuckDuckGo (via Python SDK) and Mojeek (via HTML parsing) with automatic fallback. No API keys required.
  • 📄 Clean Web Fetcher: Downloads pages and converts them to readable Markdown, stripping script, style, navigation, and image tags to conserve context window tokens.

Tech Stack

  • Python 3.10+
  • uv: Blazing-fast dependency resolver & package manager.
  • FastMCP: Declarative MCP framework wrapper.
  • SQLite FTS5: Fully offline search indexing.
  • Watchdog: Multi-threaded file systems events catcher.
  • Httpx & BeautifulSoup4: Scraping & page cleanup.

MCP Tools Provided

Tool Name Arguments Description
web_search query: str, engine: str = "auto", limit: int = 5 Search the web using DuckDuckGo/Mojeek.
web_fetch url: str Downloads a webpage and cleans it to Markdown.
workspace_index None Indexes all workspace text/code files locally.
workspace_search query: str, limit: int = 10 Instantly queries the local index using FTS5 keywords.
file_read path: str Reads a text/code file (workspace relative).
file_write path: str, content: str Writes content to a file (workspace relative).
file_delete path: str Deletes a file or empty directory.
file_move source: str, destination: str Moves or renames files or directories.
directory_list path: str = "." Lists contents inside a workspace folder.
file_changes_get None Returns a log of recent workspace file changes.

Getting Started

Prerequisites

Install uv if you haven't already:

  • macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Windows: powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Setup & Installation

Clone this repository and set up dependencies:

git clone https://github.com/b1krams/helix-mcp.git
cd helix-mcp
uv sync

Running Locally

To run the MCP server on stdio transport:

uv run python -m helix_mcp.server

Connecting to Clients

Claude Desktop Configuration

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "helix-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/helix-mcp",
        "run",
        "python",
        "-m",
        "helix_mcp.server"
      ]
    }
  }
}

(Make sure to replace /absolute/path/to/helix-mcp with your actual full workspace path).


Development & Testing

Run the offline pytest suite to verify all tools:

uv run pytest

Formatting and Linting:

uv run ruff check

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