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

Variable	Default	Description
`DATRIS_API_URL`	`http://localhost:8080`	Datris REST API server URL
`REQUIRE_API_KEY`	`false`	Reject SSE/HTTP sessions that connect without `x-api-key`

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). Manage keys in the Configuration UI's Secrets tab.

Tools

30+ tools across these categories:

Pipeline Management — create, list, get, delete pipelines; upload files; monitor jobs
Vector Search — semantic search across Qdrant, Weaviate, Milvus, Chroma, pgvector
Database Query — read-only SQL queries (PostgreSQL) 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

Metadata

Release files for datris-mcp-server 1.46.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datris-mcp-server 1.46.0
File	Size	Uploaded
datris_mcp_server-1.46.0.tar.gz	112.1 kB	Oct 8, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for datris-mcp-server 1.46.0
File	Interpreter	ABI	Platform	Reset
datris_mcp_server-1.46.0-py3-none-any.whl 113.7 kB Oct 8, 2026	Python 3	none	any	Details

Total release size: 225.8 kB

Release files / datris_mcp_server-1.46.0.tar.gz

Download URL	datris_mcp_server-1.46.0.tar.gz
Size	112.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`b27cb8821ccad7f446b51ec526ac7f3f0d6112bc72d36cfcd64d6e1fc978f242`
BLAKE2b-256 checksum How to use checksums	`dbd34550ab239c6338a17b317e9313ff7587e5369d71a909d105907afe72d85d`
Upload date	Oct 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.6`

Release files / datris_mcp_server-1.46.0-py3-none-any.whl

Download URL	datris_mcp_server-1.46.0-py3-none-any.whl
Size	113.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`0ea8b6245e45044d275f2f488b0c5b88f5d720018f673168e5177ea7b929e387`
BLAKE2b-256 checksum How to use checksums	`bec5ae8da1cf4895212bd9b51c516e8b6a5f368af533ef8944627e90ea6c8562`
Upload date	Oct 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.6`