pulsemcp Safe content atomic mcp-remote

Datris

Datris is a self-hosted, open-source data platform that enables AI agents to operate data pipelines through native MCP integration. Agents can register pipelines, upload files, trigger processing, monitor jobs, profile data, run semantic searches across five vector databases (Qdrant, Weaviate, Milvus, Chroma, pgvector), and query PostgreSQL and MongoDB. The platform supports configuration-driven pipelines with AI-powered data quality validation, natural language transformations, and a full RAG pipeline for document extraction, chunking, embedding, and retrieval.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/datris/datris-platform-oss/tree/HEAD/mcp-server
Author type: human
Updated: 2026-05-15

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MCP

Resolve Datris from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"