AI Agent-Native Data Platform — ingest, validate, transform, and query data.
Datris MCP server exists for a simple reason — assistants are far more useful when they can act on Datris directly instead of describing what you should do. AI Agent-Native Data Platform — ingest, validate, transform, and query data.
Ingest, validate, transform, store, and retrieve your data — whether you're an AI agent talking through MCP or a developer writing config. One platform for both.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Once Datris is connected, these are the calls the assistant has available:
Agent-native — Built-in MCP server with 47 tools. Claude, Cursor, and any MCP-compatible agent can operate pipelines through natural conversationTaps — AI-generated Python scripts that fetch data from external sources (APIs, web scraping, databases) and push it into pipelines. Describe what you wantConfiguration-driven — Define pipelines through JSON. No code requiredFeature — DescriptionService — PurposeMinIO — S3-compatible object store for file staging and data outputPostgreSQL — Default structured destination, also hosts pgvector for RAGMongoDB — Configuration store, job status tracking, metadataActiveMQ — File notification queue, pipeline event notificationsTEI — Text Embeddings Inference sidecar (BAAI/bge-m3) — local vector embeddings when you're not using OpenAI embeddingsYou will need 2 environment variables: ANTHROPIC_API_KEY, OPENAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Datris's toolset — Agent-native, Taps, Configuration-driven and 7 more — is a fair guide to whether it matches your workflow. It is maintained by datris; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Datris's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Agent-native | Built-in MCP server with 47 tools. Claude, Cursor, and any MCP-compatible agent can operate pipelines through natural conversation |
| Taps | AI-generated Python scripts that fetch data from external sources (APIs, web scraping, databases) and push it into pipelines. Describe what you want, Datris generates the script. Includes AI diagnosis, CRON scheduling, a |
| Configuration-driven | Define pipelines through JSON. No code required |
| Feature | Description |
| Service | Purpose |
| MinIO | S3-compatible object store for file staging and data output |
| PostgreSQL | Default structured destination, also hosts pgvector for RAG |
| MongoDB | Configuration store, job status tracking, metadata |
| ActiveMQ | File notification queue, pipeline event notifications |
| TEI | Text Embeddings Inference sidecar (BAAI/bge-m3) — local vector embeddings when you're not using OpenAI embeddings |
{
"mcpServers": {
"datris": {
"command": "npx",
"args": ["-y", "mcp-remote"],
"env": {
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.