{"id":"agentrpc-agentrpc","name":"AgentRPC","af_score":56.8,"security_score":60.0,"reliability_score":40.0,"what_it_does":"AgentRPC is a universal RPC layer that allows AI agents to connect to functions deployed anywhere (private VPCs, Kubernetes, multi-cloud) across network boundaries and language barriers. It wraps functions in an RPC interface exposed via MCP and OpenAI-compatible tool definitions.","best_when":"You have functions deployed in private networks and need agents to call them securely without exposing infrastructure, or when you need consistent function calling across multiple languages and frameworks integrated with MCP.","avoid_when":"You need sub-second latency, cannot trust external SaaS platforms, or are calling simple synchronous functions that don't require the abstraction layer.","last_evaluated":"2026-04-04T22:11:47.516010+00:00","has_mcp":true,"has_api":true,"auth_methods":["API Key (AGENTRPC_API_SECRET)"],"has_free_tier":false,"known_gotchas":["API secret must be passed via environment variables; if exposed in agent configs (e.g., claude_desktop_config.json), credentials are readable by code inspection","MCP server launched locally via 'npx agentrpc mcp' — requires agent runtime to execute this command; integration model unclear","No documented retry behavior or backoff strategy; agents will need their own retry logic","Rate limiting not documented; agents may hit limits without guidance","No idempotency guarantees documented; retried calls may have side effects"],"error_quality":0.0}