mcp server built ontop of dune api endpoint
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# spice-mcp [](https://pypi.org/project/spice-mcp/) <a href="https://glama.ai/mcp/servers/@Evan-Kim2028/spice-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@Evan-Kim2028/spice-mcp/badge" alt="Spice MCP server" /> </a> An MCP server that provides AI agents with direct access to [Dune Analytics](https://dune.com/) data. Execute queries, discover schemas and tables, and manage saved queries—all through a clean, type-safe interface optimized for AI workflows. **Discover High-Quality Tables**: Leverages [Dune Spellbook](https://github.com/duneanalytics/spellbook), Dune's official GitHub repository of curated dbt models, to surface verified, production-ready tables with rich metadata. ## Why spice-mcp? - **Agent-friendly**: Designed for AI agents using the Model Context Protocol (MCP) - **High-Quality Discovery**: Leverages Dune Spellbook's GitHub repository to find verified, production-ready tables with rich metadata - **Efficient**: Polars-first pipeline keeps data lazy until needed, reducing memory usage - **Discovery**: Built-in tools to explore Dune's extensive blockchain datasets from both Dune API and Spellbook - **Type-safe**: Fully typed parameters and responses with FastMCP - **Reproducible**: Automatic query history logging and SQL artifact storage ## Quick Start 1. **Install**: ```bash uv pip install spice-mcp ``` 2. **Set API key** (choose one method): - **Option A**: Create a `.env` file in your project root: ```bash echo "DUNE_API_KEY=your-api-key-here" > .env ``` - **Option B**: Export in your shell: ```bash export DUNE_API_KEY=your-api-key-here ``` 3. **Use with Cursor IDE**: Add to Cursor Settings → MCP Servers: ```json { "name": "spice-mcp", "command": "spice-mcp", "env": { "DUNE_API_KEY": "your-dune-api-key-here" } } ``` **Note**: Query history logging is enabled by defau…
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