Trpc MCP
Provide tRPC routing functionality through MCP services to enable the opening and invocation of RPC interfaces
rating : 2.5 points
downloads : 38
What is tRPC - MCP?
tRPC - MCP is a bridging service that allows developers to expose existing tRPC APIs through the Model Context Protocol (MCP) standard, enabling standardized communication between different systems.How to use tRPC - MCP?
Just follow four simple steps: 1) Initialize a tRPC instance. 2) Add MCP metadata. 3) Enable routes. 4) Start the MCP server.Use cases
Suitable for scenarios where existing Node.js services need to be quickly integrated into the MCP ecosystem, especially for AI model services or cross - process communication requirements.Main Features
Seamless tRPC IntegrationRetain all tRPC features while gaining MCP communication capabilities
Automatic OpenAPI DocumentationAutomatically generate API documentation through meta configuration
Standard IO TransportSupport inter - process communication via stdio
Advantages and Limitations
Advantages
Reuse the existing tRPC codebase
Standardized communication protocol
Lightweight with no additional dependencies
Limitations
Currently only supports the Node.js environment
Requires basic knowledge of tRPC concepts
How to Use
Initialize a tRPC Instance
Create a basic tRPC instance and configure the MCP metadata type
Add Route Metadata
Add openapi configuration to the routes to be exposed
Create a Router
Define routes, inputs, and outputs in the standard tRPC way
Start the MCP Server
Create an MCP server instance and connect to the transport layer
Usage Examples
Greeting ServiceA simple greeting interface demonstrating basic configuration
AI Model ServiceExpose an AI model prediction interface through MCP
Frequently Asked Questions
Which dependencies need to be installed in advance?
Does it support protocols other than HTTP?
How to view the generated API documentation?
Related Resources
tRPC Official Documentation
Learn the basic concepts and usage of tRPC
MCP Protocol Specification
Understand the detailed specification of the MCP protocol
Example Project Repository
A complete and runnable example project
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points