TAU Assistant Cursor

This guide walks you through the integration of TAU Model Context Protocol⁠ (MCP) to access TAU Anchors, Proofs, and datasets through natural language conversations with Cline.

Prerequisites

• Cursor⁠ installed (latest version)
• A Gateway API key from TAU Studio
• npx⁠ or bunx⁠ installed and available in your path

Configuration Steps

1. Open Configuration File

Create or edit your ~/.cursor/mcp.json file.

2. Add Configuration

1{2  "mcpServers": {3    "tau": {4      "command": "npx",5      "args": ["mcp-remote", "--header", "Authorization:${AUTH_HEADER}", "https://mcp.tau.org/sse"],6      "env": {7        "AUTH_HEADER": "Bearer GATEWAY_API_KEY"8      }9    }10  }11}

3. Add Your API Key

Replace GATEWAY_API_KEY with your API key from TAU Studio.

4. Restart Cursor

Restart Cursor, and start a new chat.

Available TAU Tools and Usage

The TAU MCP provides several tools for interacting with TAU datasets:

Schema Retrieval Tools

• Get schema by deployment ID: Access the GraphQL schema using a deployment ID (0x…)
• Get schema by TAU ID: Access the schema for the current deployment of a TAU dataset (5zvR82…)
• Get schema by IPFS hash: Access the schema using a TAU dataset’s IPFS manifest hash (Qm…)

Query Execution Tools

• Execute query by deployment ID: Run GraphQL queries against specific, immutable deployments
• Execute query by TAU ID: Run GraphQL queries against the latest version of a TAU dataset

Discovery Tools

• Get top TAU deployments: Find the top 3 TAU deployments indexing a specific contract on a particular chain

Benefits of Natural Language Queries

One of the most powerful features of the TAU MCP integration is the ability to ask questions in natural language. Cursor will:

1. Understand your goal (lookup, find TAU datasets, query, get schema)
2. Find relevant deployments if needed
3. Fetch and interpret the TAU schema, Anchors, and Proofs
4. Convert your question into an appropriate GraphQL query
5. Execute the query and present the results in a readable format

Example Natural Language Queries

1What are the wallet trust scores for the last 10 users on deployment 0xde0a7b5368f846f7d863d9f64949b688ad9818243151d488b4c6b206145b9ea3?

1Which anchors have the highest validation rate in this TAU dataset?

1Show me the most recent 5 proofs related to campaign X

Key Identifier Types

When working with TAU datasets, you’ll encounter different types of identifiers:

• TAU ID (e.g., 5zvR82...): Logical identifier for a TAU dataset
• Deployment ID (e.g., 0x4d7c...): Identifier for a specific, immutable deployment
• IPFS Hash (e.g., QmTZ8e...): Identifier for the manifest of a specific deployment