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Membit MCP Server connects your AI systems to live social insights via Membit’s API. Using the Model Context Protocol (MCP), the server exposes tools that make up-to-the-minute social context—trending discussion clusters, raw posts, and more—available to your AI agents in Cursor, Claude Desktop, Goose, and any MCP-compatible client.

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Available tools

These tools are exposed by the Membit MCP server and can be called by MCP-compatible clients (e.g., Cursor, Claude Desktop). Search for trending discussion clusters across platforms.
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q
string
required
Free-text query describing the topic (e.g., “ai agents”, “us elections”).
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limit
integer
default:"10"
Maximum number of clusters to return. Range: 1–50.

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clusters.info

Get detailed context for a specific cluster label, including representative posts.
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label
string
required
Cluster label obtained from clusters.search.
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limit
integer
default:"10"
Maximum number of representative posts to include. Range: 1–50.
Search raw social posts that match your query across supported platforms.
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q
string
required
Free-text query describing the topic or keywords.
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limit
integer
default:"10"
Maximum number of posts to return. Range: 1–100.
All tools respect privacy: results surface public conversations only and never expose personal identifiers beyond public metadata.

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Remote MCP Server

Connect Membit’s remote MCP server directly without the need for local setup. This approach offers a streamlined experience that eliminates local installation and configuration requirements. Use the remote MCP server endpoint with your Membit API key: 
https://mcp.membit.ai/mcp
Authentication: The remote server requires your API key to be passed as an HTTP header X-Membit-Api-Key: <your-api-key>. The configurations below handle this automatically for each client. Obtain your Membit API key.

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Configuring Remote MCP Clients

See platform-specific setup guides in the Integrations section.

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Local MCP

Run the server locally if you prefer.

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Requirements

  • Membit API key (get one)
  • Python 3.11+
  • An MCP client (e.g., Claude Desktop, Goose, Cursor)
  • Git (optional, if cloning)

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API Key Configuration

Provide your key in one of two ways: Environment variable (recommended): Create a .env file in the project root: 
MEMBIT_API_KEY=<your-api-key>
HTTP header (useful for direct HTTP testing): 
curl -H 'X-Membit-Api-Key: <your-api-key>' http://localhost:8000/mcp

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Installation Guide

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Clone from Git

1

Clone the Repository

git clone https://github.com/bandprotocol/membit-mcp.git
cd membit-mcp
2

Choose Installation Method

Option 1: Direct Installation
uv sync
uv run src/membit_mcp/server.py
Option 2: Docker InstallationBuild the Docker image:
docker build -t membit-mcp .
Run the container:
# Using environment variable
docker run -p 8000:8000 -e MEMBIT_API_KEY=<your-api-key> membit-mcp

# Using HTTP header
docker run -p 8000:8000 membit-mcp
# Then use: curl -H 'X-Membit-Api-Key: <your-api-key>' http://localhost:8000/mcp