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Provides access to the Gopher AI API via MCP, enabling Twitter data searches and configurable results.
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.
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.
Prerequisites you need before installation:
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 ./dataUsing Docker
docker build -t gopher-mcp-server .Searches Twitter posts using the Gopher AI API with a natural language query and returns matching tweets with optional metadata and a relevance score.