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Manage AI agent configs across platforms with comparison, editing, and sync.
Overall this is an open-source MIT-licensed MCP tool with no declared secrets or fixed remote endpoints, so baseline supply-chain risk is low. However, it has local code-execution/file-operation capabilities, and its community adoption and maintenance status are unclear, so use with routine caution.
No secrets, tokens, or environment variables are declared, and there is no indication of credential collection or abuse.
No remote endpoint host is listed, and no user-data exfiltration path is described in the provided material.
The tool is marked as executes-code, meaning it can run locally and invoke system capabilities; this is a normal MCP capability but still warrants scope review.
The description indicates it manages local Claude/Codex/Gemini config files for comparison, editing, and application, so it can read/write local files; no evidence of access beyond that purpose.
It comes from a third-party registry but includes an open-source GitHub repo and MIT license, making it auditable; however, 0 stars and unknown maintenance status limit trust, so verify carefully.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Provider Config Sync" yet — see the docs or source repo.
Compare my agent configurations in Claude, Codex, and Gemini, and generate a unified sync plan for equivalent capabilities without overwriting native config files.
A report of config differences, field mappings, and a safe unified synchronization plan.
Using my existing Claude configuration, generate equivalent capability settings for Codex and Gemini and flag options that cannot be directly mapped.
Equivalent migrated configs, notes on unmappable items, and adjustment suggestions for each platform.
Check whether these three AI agent configs are consistent in model capabilities, tool permissions, and behavior settings, and list potential risks.
A consistency review, risk list, and recommended fixes.
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