Gopher

Provides access to the Gopher AI API via MCP, enabling Twitter data searches and configurable results.

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1

GitHub Stars

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "gopher-lab-gopher-mcp-server": {
      "command": "./gopher-mcp-server",
      "args": [],
      "env": {
        "GOPHER_API": "your-gopher-api-key-here",
        "MAX_RESULTS": "15"
      }
    }
  }
}

You can use the Gopher MCP Server to access the Gopher AI API through MCP clients, enabling natural language searches of Twitter data and related results in an efficient, asynchronous workflow.

How to use

Connect to the Gopher MCP Server from your MCP client and start sending search requests. You can perform Twitter data searches using natural language queries, receive a list of matching posts, and handle results asynchronously with polling if needed. Configure the client to start the server process, point it at the server’s command, and ensure you provide your API key so the server can reach the Gopher AI service.

How to install

Prerequisites you need before installation:

Go 1.24.7 or later
Gopher AI API key
MCP-compatible client (e.g., Claude Desktop, Cline, etc.)

Choose one of the installation methods below and follow the steps exactly to run the server locally or in Docker.

From source

git clone https://github.com/gopher-lab/gopher-mcp-server.git
cd gopher-mcp-server
go build -o gopher-mcp-server ./data

How to install

Using Docker

docker build -t gopher-mcp-server .

Available tools

search_twitter

Searches Twitter posts using the Gopher AI API with a natural language query and returns matching tweets with optional metadata and a relevance score.