Neuronpedia MCP Server

Neuronpedia MCP Server

Provides access to the Neuronpedia API for AI model interpretability and feature analysis, enabling explanations, activations, steering, and vector management.

Category
Visit Server

README

Neuronpedia MCP Server

A Model Context Protocol (MCP) server that provides access to the Neuronpedia API for AI model interpretability and feature analysis.

Features

  • Explanations: Generate and search explanations for AI model features
  • Activations: Analyze feature activations on specific text inputs
  • Steering: Control model generation using specific features
  • Vectors: Create and manage custom steering vectors

Installation

npm install
npm run build

Configuration

Set your Neuronpedia API key as an environment variable:

export NEURONPEDIA_API_KEY=your_api_key_here

You can obtain your API key by logging in at neuronpedia.org and visiting your account page.

Usage

Running the server

npm start

Available Tools

  1. generate_explanation - Generate explanations for model features
  2. search_explanations - Search existing explanations
  3. get_activations - Get feature activations for text
  4. search_top_features - Find top activating features
  5. steer_generation - Steer model generation with features
  6. create_vector - Create custom steering vectors
  7. list_vectors - List all vectors
  8. get_vector - Get specific vector
  9. delete_vector - Delete a vector

MCP Client Configuration

Add this to your MCP client configuration:

{
  "mcpServers": {
    "neuronpedia": {
      "command": "node",
      "args": ["/path/to/neuronpedia-mcp/dist/index.js"],
      "env": {
        "NEURONPEDIA_API_KEY": "your_api_key"
      }
    }
  }
}

Development

npm run dev

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured