Local Hugging Face MCP Server
A production-ready local MCP server for Agent Studio, providing tools for calculation, search, chat, and Hugging Face text generation via the Inference API.
README
Local Hugging Face MCP Server
A production-ready local MCP (Model Context Protocol) server built with Node.js (ES Modules) that can be connected to Agent Studio via its MCP Servers feature.
Features
- Exposes multiple tools to Agent Studio:
- Calculator: Performs basic arithmetic operations
- Search: Returns mocked search results (easy to replace with real search)
- Chat: Simple greeting response
- Hugging Face: Interfaces with Hugging Face Inference API for text generation
- Secure: Optional API token authentication
- Environment configurable
- Health check endpoint
- Comprehensive error handling
- Logging of requests and tool invocations
- Built with the latest official
@modelcontextprotocol/sdk
Installation
- Clone or download this repository
- Install dependencies:
npm install
Environment Variables
Create a .env file in the root directory with the following variables:
PORT=8000
ACCESS_TOKEN=my-secret-token
HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
PORT: The port the server will listen on (default: 8000)ACCESS_TOKEN: Optional. If set, requiresAuthorization: Bearer <token>header for MCP endpoint. If empty or not set, allows anonymous access.HF_TOKEN: Your Hugging Face Inference API token (required for the Hugging Face tool)
Getting a Hugging Face Token
- Go to Hugging Face Settings
- Create a new token with "Read" access (for inference API)
- Copy the token and set it as
HF_TOKENin your.envfile
Usage
Starting the Server
Production
npm start
Development (with auto-restart)
npm run dev
The server will start at http://localhost:8000.
Endpoints
GET /- Returns "MCP Server Running"GET /health- Returns{ "status": "ok" }POST /mcp- MCP endpoint for Agent Studio (requires authentication ifACCESS_TOKENis set)
Connecting to Agent Studio
- Open Agent Studio
- Navigate to Settings → MCP Servers
- Click "Add New Server"
- Fill in the form:
- Name: Local MCP
- Server URL:
http://localhost:8000/mcp - Access Token:
my-secret-token(if you setACCESS_TOKENin.env; leave blank if not set)
- Save the connection
Agent Studio will now be able to discover and use the tools exposed by this MCP server.
Available Tools
Calculator
Performs basic arithmetic operations.
Input:
{
"a": number,
"b": number,
"operation": "add" | "subtract" | "multiply" | "divide"
}
Output: Result = <result>
Errors: Throws an error for division by zero.
Search
Returns mocked search results (replace with real search implementation).
Input:
{
"query": string
}
Output:
{
"results": [
{
"title": string,
"url": string,
"snippet": string
}
]
}
Chat
Simple greeting tool.
Input:
{
"message": string
}
Output: Hello from MCP
Hugging Face
Interfaces with Hugging Face Inference API for text generation.
Input:
{
"model": string, // e.g., "gpt2"
"prompt": string
}
Output: Generated text string from the model.
Errors:
HF_TOKEN is not set in environment variables- Missing Hugging Face tokenInvalid Hugging Face token- 401 from HF APIModel not found: <model>- 404 from HF APIRate limit exceeded- 429 from HF APIRequest to Hugging Face API timed out- Timeout after 10 secondsHugging Face API error: <status> <message>- Other HTTP errorsUnexpected error: <message>- Other unexpected errors
Extending with Additional Tools
To add a new tool:
- Create a new file in the
tools/directory (e.g.,mytool.js) - Export a handler function and a Zod schema:
import { z } from 'zod'; export const mytoolTool = async (input) => { // Your implementation return result; }; const mytoolSchema = z.object({ // Define your input schema }); export { mytoolSchema }; - Open
routes/mcp.jsand import the tool:import { mytoolTool } from '../tools/mytool.js'; import { mytoolSchema } from '../tools/mytool.js'; - Inside the
createMcpServerfunction, register the tool:server.registerTool( 'mytool', { description: 'Description of your tool', inputSchema: mytoolSchema }, mytoolTool ); - Restart the server.
Project Structure
my-mcp-server/
│
├── package.json
├── server.js
├── .env
├── README.md
│
├── tools/
│ ├── calculator.js
│ ├── search.js
│ ├── chat.js
│ └── huggingface.js
│
├── routes/
│ └── mcp.js
│
├── middleware/
│ └── auth.js
│
└── utils/
└── logger.js
Notes
- The server uses ES modules (
type": "module"in package.json) - The MCP server uses the official
@modelcontextprotocol/sdkfor HTTP transport - Error handling is centralized: invalid requests return 400, auth errors return 401, and internal errors return 500 with a JSON error response
- The Hugging Face tool includes timeout and error handling for common API issues
- Logging is done via console with timestamps
License
MIT
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