Openrpc MCP Server

Openrpc MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. OpenRPC MCP server - Updated with latest @modelcontextprotocol/sdk for compatibility with newer clients.

What you get

A Model Context Protocol (MCP) server that provides JSON-RPC functionality through OpenRPC.

What the assistant can call

Once Openrpc is connected, these are the calls the assistant has available:

• rpc_call — Call arbitrary JSON-RPC methods
• rpc_discover — Discover available JSON-RPC methods
• Tools — The Tools tool exposed by this server
• Debugging — Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Openrpc's toolset — rpc_call, rpc_discover, Tools and 1 more — is a fair guide to whether it matches your workflow. It is maintained by hammad_ignite; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the openrpc mcp server does with a few real requests.