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Description
Describe the feature or problem you’d like to solve
The GitHub MCP has a systematic problem that its delivered results are too "fat", containing too many tokens.
This is chronic and affects almost every single MCP tool. Some particular problems are
- Getting actions logs results in vast logs being delivered to model
- Getting all the comments on a long issue or discussion results in too much being delivered to model
- Getting the details of a issue or discussion allows no selective choice of data to deliver to model
Proposed solution
This is a chronic problem with the MCP architecture. The best solution for the GitHub MCP in particular is to
- document the schema return type for each tool
- add an optional jq input parameter to every tool call
Then implement the jq filtering/transformation/query over the result. This allows models to dramatically reduce the information selected using the full power of JQuery
Example prompts or workflows (for tools/toolsets only)
Search the actions logs for run 1002032 for ERROR lines
Download the last 10 lines of the actions logs for run 1002032
Look if Discussion 11 is closed or open and get its labels. Do not get its body.
Additional context
This could also be done as an MCP->MCP transform. But for GitHub's very widely used MCP I think it's worth doing in-MCP.
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