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Policy-aware AI execution, verification, cost, and trajectory evidence for agents.
ModelPilot Execution Decision Engine is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding ModelPilot Execution Decision Engine to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add io.github.andycywu/modelpilot https://modelpilot.andycywu.cc/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-17T04:30:15.036436Z",
"publishedAt": "2026-10-17T04:30:15.036436Z",
"statusChangedAt": "2026-10-17T04:30:15.036436Z"
}
},
"server": {
"name": "io.github.andycywu/modelpilot",
"title": "ModelPilot Execution Decision Engine",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://modelpilot.andycywu.cc/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"value": "Bearer {modelpilot_api_key}",
"variables": {
"modelpilot_api_key": {
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Execute-scoped ModelPilot Agent key created in the tenant workspace",
"placeholder": "mp_live_..."
}
}
}
]
}
],
"version": "0.9.0",
"repository": {
"url": "https://github.com/andycywu/modelpilot",
"source": "github"
},
"websiteUrl": "https://modelpilot.andycywu.cc/docs/agents",
"description": "Policy-aware AI execution, verification, cost, and trajectory evidence for agents."
}
}