MCP-compatible distributed RPC layer for AI agents

Show HN: MCP-compatible distributed RPC layer for AI agents

Operating in show hn launch, MCP-compatible distributed RPC layer for AI agents operates.

Profile

Hey HN,We've been hacking around with LLMs for a while and have encountered a specific problem with distributed tool calling.The ProblemWhen building AI agents or LLM-automations in distributed environments, you typically:- Need to build APIs for your distributed tools- Require load balancers in front of tool replicas (e.g. in k8s environments)- Must refactor long-running tools to work within HTTP timeout constraintsOur Solution: AgentRPCAgentRPC addresses these challenges by converting any function into a consumer for a distributed message queue that works via long-polling. The consumers register with a centralized server which:- Monitors their health- Maintains context about function schem

The company sits in the show hn launch segment, where it competes on its core product or service.

Its current recorded stage is Show HN launch.

Website: agentrpc.com