Put trusted data context in the hands of your teams and AI agents
DataGalaxy’s MCP server exposes governed catalog, lineage, and business glossary context to AI agents via MCP. Prompts remain lightweight, while agents receive structured, trusted data knowledge without hardcoded logic or custom connectors.
Turn your catalog into the go-to knowledge source for AI
Assist data teams with accurate suggestions
Support leaders with reliable governance insights
Empower business teams with consistent explanations
Automate context across workflows
Expose governed context to AI and business users
Connect AI assistants directly to DataGalaxy through MCP to discover and explain catalog assets with confidence.
Assistants can run semantic and natural-language search, then retrieve full object details, tags and classifications, relationships, hierarchy, tasks, and comments, keeping answers grounded in your governance system, not guesses.
Help every user get clear and reliable answers
When agents rely on DataGalaxy, answers stay aligned with approved terminology and consistent definitions – backed by object details, ownership, tags, and relationships from the catalog. Every response becomes traceable, explainable, and governance-aligned across teams.
Bring business definitions into AI conversations for business users
With simple authentication and real-time access to your governed data catalog, developers get instant schema validation, lineage tracing, and business context without leaving their IDE. No more context switching between documentation portals and code editors—your data governance lives where your code does.
Adapt seamlessly to your AI landscape
MCP integrates natively with modern AI clients, IDE copilots, and agent frameworks. No custom connectors or one off integrations. Your AI environment becomes easier to scale and govern, with one reliable source of metadata for every assistant.
See DataGalaxy in Action
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Questions we hear a lot about the MCP Server
- What is the MCP Server?
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MCP servers are programs that expose specific capabilities to AI applications through standardized protocol interfaces.
- Who can use the MCP Server?
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AI teams, data engineers, analytics groups, business users and governance leaders who want to embed trusted metadata into assistants, notebooks, copilots, and operational apps.
- Is MCP Server hard to integrate?
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Any MCP-compatible tool can connect to the server. The interface is simple, structured, and optimized for AI workflows, so teams can get started without deep technical knowledge.
- How does MCP Server stay secure?
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The MCP Server inherits all DataGalaxy roles, domains, and access controls. Every request is authenticated and fully auditable.
- Does MCP Server expose data?
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No. The server only exposes metadata such as glossary terms, lineage, documentation, and ownership according to your permissions.