context_id,agent_id,user_id and the connector resolves the token from its own app configuration.
Catalog dictionary
Create, read, update and delete sources, containers, structures and fields, with the generic object operations for any entity type.
Glossary, usages & data processing
Manage glossary properties (business terms, concepts, indicators), usages (applications, dashboards, datasets) and data flows / processings.
Links & collaboration
Relate any two catalog entities, post comments and manage tasks across the catalog, with full-text search over everything.
Who is this for?
This connector is used by three different roles. Jump to the section that matches yours — each one is self-contained.Agent builder
You build agents in Agent Factory and want them to read and write the DataGalaxy catalog. → Agent builder tab.
Platform admin
You run the platform and want to publish DataGalaxy as a reusable capability. → Platform admin setup accordion below.
Workspace builder
You write Builder automations (DSUL) that call DataGalaxy operations directly. → Workspace builder tab.
Prerequisites
- A DataGalaxy account with API access to the workspaces (client spaces) you intend to manage.
- A Personal Access Token (PAT) or integration token — generated in DataGalaxy under your account / integration settings. The connector exchanges it server-side for a short-lived access token.
- Your DataGalaxy API base URL — default
https://api.datagalaxy.com(override only for a region-specific or self-hosted instance). - The token’s user must hold the DataGalaxy roles needed for the operations you call (read for list/get, write for create/update/delete on the relevant workspace version).
Platform admin (Governance) — one-time platform setup
Platform admin (Governance) — one-time platform setup
Goal: DataGalaxy is a per-workspace connector — each workspace pastes its own DataGalaxy token in the app configuration (see the Workspace builder tab), so there is no platform-wide credential to provision and no central OAuth client.
There is no shared DataGalaxy credential. The PAT / integration token always lives in the consuming workspace’s app configuration and is resolved server-side. A Governance capability you publish here points at a specific workspace’s MCP endpoint; that workspace still owns the credential.
Declare the capability in AI Governance (optional)
1
Open AI Governance > Capabilities
Create (or edit) the DataGalaxy capability.
2
Point it at the MCP endpoint
Set the capability’s MCP server URL to the connector’s MCP Endpoint (the workspace running the connector), and set its Scope to:The
agent_id in the scope is what lets the connector identify the calling agent.3
Make it available to agent builders
Once created, the capability appears in the capability picker for agent builders in your organization, who enable it on their agents. Access to the catalog follows your organization’s existing roles; there is no per-capability role grant for this connector.
- Agent builder (Agent Factory)
- Workspace builder (DSUL)
Agent builder
Goal: let an agent you build in Agent Factory read and write the DataGalaxy catalog through MCP tools.Before an agent can call the connector, a Workspace builder must have installed and configured the DataGalaxy app in a workspace (see the Workspace builder tab). Optionally, a Platform admin may have published a DataGalaxy capability in AI Governance (see the Platform admin setup accordion above).
agent_id that Agent Factory injects through the capability Scope.1
Install and configure the connector in a workspace
Follow the Workspace builder tab: install DataGalaxy in a workspace and provide the PAT / integration token and (optionally) the base URL.
2
Add the MCP capability to your agent
In your agent, add a capability pointing at that workspace’s MCP Endpoint URL, and set its Scope to:The
agent_id is what lets the connector identify your agent.3
Brief the agent
Tell the agent the tools exist and when to reach for them. Copy-pasteable starter:Refine the trigger keywords (source names, glossary domains, project tags) so the agent reliably picks up the right intent in your context.
Legacy AI Knowledge agents (no native MCP picker): add the connector under Advanced > Tools > MCP and paste the MCP Endpoint URL. The DataGalaxy token is still resolved server-side from the installed app configuration.
Available Tools
Tools are entity-grouped: each tool takes anaction argument selecting the concrete operation, plus the per-action parameters. Most operations need a versionId (a DataGalaxy workspace version) — discover it with the catalog tool.Output Formats
Every tool accepts anoutputFormat argument that controls the MCP response shape:verbose(default) — human-readable text optimized for LLM consumptionstructured— concise machine-readable JSON instructuredContentboth— the structured payload, with its JSON also rendered as text
Tool Details
catalog — search
Global full-text search across every catalog object.sources — create
fields — create
Creates a field (column) under a structure.links — create
comments — create
Rich-text HTML is supported in thecontent field.Error Handling
Common Issues
“DataGalaxy not configured” — No token could be resolved. Complete the app install with a valid token, callconfigureDataGalaxy to store one in the session, or pass an Authorization: Bearer header.
“DataGalaxy credentials exchange failed” — The provided PAT / integration token was rejected when exchanging it for an access token. Re-generate the token in DataGalaxy and re-paste it in the app config; confirm the base URL points at the right region.
“The calling agent could not be identified” — The MCP capability Scope does not declare agent_id. Set the Scope to context_id,agent_id,user_id on the capability.
versionId errors — Most operations are scoped to a workspace version. Use the catalog tool’s listWorkspaces then listVersions actions (or the listWorkspaces / listVersions instructions) to obtain a valid versionId before calling entity operations.
External Resources
DataGalaxy API
Official DataGalaxy API documentation.
Tool Agents
Learn how Agent Factory agents consume MCP tools in Prisme.ai.