Remote MCP
Best for MCP-capable agents. Discover ModelPilot tools over one Streamable HTTP endpoint.
MCP details →ModelPilot lets an Agent ask which execution path is allowed, run the work, verify the outcome, and retain auditable evidence—with one tenant API key.
Your Agent and your provider credentials stay under your control. ModelPilot supplies policy-aware decisions, verified execution, evidence, and task economics.
Best for MCP-capable agents. Discover ModelPilot tools over one Streamable HTTP endpoint.
MCP details →Install the CLI locally to configure credentials, run diagnostics, preview decisions, and execute verified tasks.
npm run cli:installUse OpenAPI when your application needs direct control over policy, economics, and verification contracts.
OpenAPI document →Save this as .vscode/mcp.json. VS Code asks for the key and treats it as a password instead of committing it to the repository.
{
"inputs": [
{
"type": "promptString",
"id": "modelpilot-api-key",
"description": "ModelPilot API key",
"password": true
}
],
"servers": {
"modelpilot": {
"type": "http",
"url": "https://modelpilot.andycywu.cc/mcp",
"headers": {
"Authorization": "Bearer ${input:modelpilot-api-key}"
}
}
}
}Call modelpilot_decide_execution before choosing an execution target.
Use modelpilot_execute_verified_task for complete work and do not report success unless the outcome is verified.
Never infer realized value. Confirm it only from customer input or a verifiable system of record.