Enable MCP agents to discover data, match schemas, and export via HTTP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Discovery Agent MCP Server" yet — see the docs or source repo.
Use the Discovery Agent MCP Server over HTTP to scan available data sources and list each dataset's name, key fields, and a brief availability summary.
A list of discoverable datasets with basic structural information for each one.
Compare the schemas of dataset A and dataset B, identify likely corresponding fields, and provide a summary of the matches.
Suggested field mappings and a brief explanation of schema similarity.
Export the current data discovery and schema matching results, and describe what is included in the export.
An export file or export response description containing discovery and matching results.
Developers can connect this MCP tool to an MCP-compliant agent so it can perform data discovery, schema inspection, and export over HTTP.
Data analysts can use it for schema matching when combining multiple datasets, quickly identifying likely field correspondences.
When a real environment or data connection is unavailable, mock mode can be used to demonstrate the full discovery, matching, and export workflow.
It is an MCP tool that enables MCP-compliant agents to perform data discovery, schema matching, and export over HTTP.
Yes. The original description says it includes a mock mode for demonstration.
The provided materials do not include installation steps, runtime requirements, or key information; for more details, see the source repository.
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