MCP server for describing and invoking gRPC methods
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
grpc-invoke-mcp is an MCP server for calling gRPC methods from AI agents like Claude Code, Codex, Cursor, and other MCP-compatible tools.
It gives agents a simple way to inspect gRPC APIs and invoke unary RPCs using either server reflection or local .proto files. This is useful when you want an agent to explore services, understand request and response schemas, make real gRPC calls, and test gRPC integrations during agent-driven development without writing one-off scripts.
.proto filesRun the server with npx:
The package downloads a platform-specific grpc-invoke-mcp binary during installation.
Project config file: .mcp.json
Optional CLI setup:
User config file: ~/.codex/config.toml
Optional CLI setup:
Project config file: .cursor/mcp.json
You can also install it globally in ~/.cursor/mcp.json.
grpc_describeUse this tool to inspect services, methods, and message types.
Common use cases:
.proto filesgrpc_callUse this tool to invoke unary gRPC methods with a JSON request body.
Common use cases:
localhost:50051 using reflection."helloworld.Greeter/SayHello."helloworld.Greeter/SayHello on localhost:50051 with { \"name\": \"World\" }."package.Service/Method using proto_files and import_paths instead of reflection."This package exposes an MCP server over stdio. Your agent starts it locally and discovers tools such as:
grpc_describe for schema inspectiongrpc_call for unary RPC invocationUnder the hood, the npm package launches a native grpc-invoke-mcp binary bundled at install time. The binary supports:
.proto definitionsThe installer currently targets:
npx cannot start the serverMake sure Node.js and npx are installed and available in your PATH.
The npm package downloads a release artifact during installation, so your machine needs network access to GitHub Releases.
If the target server does not expose gRPC reflection, use local .proto files and import_paths instead.
Check the target host, port, TLS settings, and whether the server expects plaintext or TLS.
Confirm the config file is in the right location for your client, restart the client if needed, and verify the server appears in the MCP list or tools panel.
If you work with gRPC services, this MCP server lets AI agents inspect and call those services directly. Instead of translating API details by hand, you can let Claude Code, Codex, Cursor, or other MCP-compatible agents explore the contract and execute safe, targeted requests for debugging, integration work, API discovery, and gRPC testing in agent-driven development workflows.
MIT
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