Datris is an AI agent-native data platform that allows users to ingest, validate, transform, store, and retrieve data through a built-in MCP server with various tools.
From the registry: AI Agent-Native Data Platform — ingest, validate, transform, and query data.
$ git clone https://github.com/datris/datris-platform-oss.git && cd datris-platform-oss && cp .env.example .env && docker compose up -dhttps://datris.ai/signupPlease install the `datris` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Run Datris platform** — Datris platform must be running (self-hosted via Docker Compose or hosted). The MCP server connects to the platform API. Run: `git clone https://github.com/datris/datris-platform-oss.git && cd datris-platform-oss && cp .env.example .env && docker compose up -d` (https://datris.ai/signup)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["datris-mcp-server"]
- required environment variables:
- `PIPELINE_URL`: URL of the Datris platform API (example: `http://localhost:8080`)
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.ANTHROPIC_API_KEYrequiredAPI key for accessing Anthropic's AI services.OPENAI_API_KEYrequiredAPI key for accessing OpenAI's AI services.PIPELINE_URLrequiredURL for the pipeline endpoint.