# AgentRPC

> Use this tool when you need to connect to remote functions across different networks, languages, and cloud environments. AgentRPC solves integration problems by wrapping functions in a universal RPC interface, accessible through open standards like Model Context Protocol and OpenAI-compatible tool definitions. It provides a seamless interface for inputs and outputs, allowing for effortless communication between services deployed in private VPCs, Kubernetes clusters, and multiple cloud environments.

Canonical page: https://skillsregistry.net/skills/agentrpc  
JSON: https://api.skillsregistry.net/v1/skills/agentrpc

## Description

AgentRPC allows you to connect to any function, in any language, across network boundaries. It's ideal when you have services deployed in:

Private VPCs
Kubernetes clusters
Multiple cloud environments
AgentRPC wraps your functions in a universal RPC interface, connecting them to a hosted RPC server accessible through open standards:

Model Context Protocol (MCP)
OpenAI-compatible tool definitions (OpenAI, Anthropic, LiteLLM, OpenRouter, etc.)

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentrpc)
- **Repository:** <https://github.com/agentrpc/agentrpc>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agentrpc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentrpc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentrpc/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt