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.
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
watchdogto 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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