Datris MCP Server

MCP (Model Context Protocol) server for Datris, the data control plane for AI agents. Enables AI agents (Claude Desktop, Claude Code, Cursor, and custom frameworks) to natively interact with the platform — discover data, create pipelines, upload files, monitor jobs, search vector databases, query structured data, and answer questions with AI.

Install

pip install datris-mcp-server

Usage

stdio mode (Claude Desktop / Claude Code)

DATRIS_API_URL=http://localhost:8080 datris-mcp-server

Or run directly:

DATRIS_API_URL=http://localhost:8080 python server.py

SSE mode (Docker / remote agents)

DATRIS_API_URL=http://localhost:8080 datris-mcp-server --sse --port 3000

Docker

The MCP server starts automatically with docker compose up in SSE mode on port 3000.

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "datris": {
      "command": "datris-mcp-server",
      "env": {
        "DATRIS_API_URL": "http://localhost:8080"
      }
    }
  }
}

Claude Code

Add to .mcp.json in your project root:

{
  "mcpServers": {
    "datris": {
      "command": "datris-mcp-server",
      "env": {
        "DATRIS_API_URL": "http://localhost:8080"
      }
    }
  }
}

Environment Variables

Authentication

There is no server-side API key. Each connecting agent authenticates per session by sending an x-api-key header; mcp-server forwards that key as-is to the Datris REST API on every tool call. The Datris REST API validates against oss/api-keys Vault secret (single-tenant) or api-key-mappings (multi-tenant). Issue and manage keys from Configuration → API-Keys in the UI.

Tools

88 tools across these categories:

• Pipeline Management — create, list, get, delete pipelines (PostgreSQL, MongoDB, Snowflake, Databricks, Microsoft SQL Server / Azure SQL, object store, vector stores); upload files; monitor jobs
• Vector Search — semantic search across Qdrant, Weaviate, Milvus, Chroma, pgvector
• Database Query — read-only SQL queries (PostgreSQL, Snowflake, Databricks, SQL Server), object store queries (S3/MinIO files via DuckDB), and MongoDB queries
• Metadata Discovery — explore databases, schemas, tables, columns, collections
• AI — RAG-powered question answering
• System — health checks, version info

See the full documentation at docs.datris.ai/mcp-server.

License

Apache 2.0