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MCP Resources

Overview

MCP resources are contextual data that your AI client can read to enrich its responses. Unlike tools (which execute actions), resources provide passive read-only access.

Prerequisites

  • API key with the MCP preset
  • MCP client configured (see Configuration)

Reference

The platform exposes 7 resource providers:

Ontology

URIDescription
dataforge://ontologyLists available spaces
dataforge://ontology/{espaceId}/schemaComplete schema of a space (types, properties, relations)

Use case: Provide the ontology schema as context before a complex query.

Workflows

URIDescription
dataforge://workflowsLists workflows with their status
dataforge://workflows/{workflowId}Complete definition of a workflow

Knowledge Base

URIDescription
dataforge://knowledge/sourcesLists document sources

Agent

URIDescription
dataforge://agentsLists available agents
dataforge://agents/{agentId}Configuration and tools of an agent

Live Data

URIDescription
dataforge://livedata/sourcesLists connected sources
dataforge://livedata/{sourceId}/schemaSchema of a source

Calendar

URIDescription
dataforge://calendar/calendarsLists calendars

Dashboard

URIDescription
dataforge://dashboard/overviewWorkspace KPI summary

Examples

Read the schema of an ontology (JSON-RPC):

{
"jsonrpc": "2.0",
"method": "resources/read",
"params": {
"uri": "dataforge://ontology/MON_ESPACE_ID/schema"
},
"id": 1
}

List document sources:

{
"jsonrpc": "2.0",
"method": "resources/read",
"params": {
"uri": "dataforge://knowledge/sources"
},
"id": 2
}

Limitations

  • Resources are read-only -- use tools to modify data.
  • Resource templates (URIs with parameters) require a valid identifier.
  • Resource content is filtered by workspace (multi-tenant isolation).

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