DataAnalyst resources#7591
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labkey-matthewb merged 7 commits intorelease26.3-SNAPSHOTfrom Apr 17, 2026
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labkey-jeckels
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This looks good to me, but it would be nice for @cnathe and @labkey-alan to give it a quick review as the client API owners.
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| A LabKey MCP server is configured (see `.mcp.json`). Use these tools to explore the server interactively: | ||
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| | Tool | Purpose | | ||
| |---|---| | ||
| | `mcp__labkey__setContainer` | **Must be called first.** Sets the active container (project/folder) for subsequent calls. Path format: `MyProject/MyFolder` (no leading slash). | | ||
| | `mcp__labkey__whereAmIWhoAmITalkingTo` | Shows current user, server info, and active container. | | ||
| | `mcp__labkey__listContainers` | Lists all containers the user has read access to. | | ||
| | `mcp__labkey__listSchemas` | Lists all schemas in the active container. | | ||
| | `mcp__labkey__listTables` | Lists tables/queries within a schema. | | ||
| | `mcp__labkey__listColumns` | Shows column metadata (name, type, description) for a table. Also returns SQL source for saved queries. | | ||
| | `mcp__labkey__getSourceForSavedQuery` | Returns the SQL source of a saved query. | | ||
| | `mcp__labkey__validateSQL` | Validates LabKey SQL syntax without executing it. | | ||
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| ### MCP Workflow | ||
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| 1. Call `listContainers` to find available containers | ||
| 2. Call `setContainer` with the desired container path | ||
| 3. Use `listSchemas` -> `listTables` -> `listColumns` to explore the data model | ||
| 4. Use `validateSQL` to check queries before running them |
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Can we share this or other common blocks? I imagine it'll need updates as we build out MCP.
Co-authored-by: Josh Eckels <jeckels@labkey.com>
labkey-alan
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The Python documentation looks correct. I am not a huge fan that we are adding a third place that has documentation for our Python API, but we can find a better solution for that later.
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Rationale
Additional resources to support MCP user scenarios, specifically data analysis.
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