%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
MCP
This project implements an MCP server supporting Stdio and SSE transmission based on the official MCP Rust SDK, used to interact with Trustify instances.
rating : 2 points
downloads : 5.2K
What is the Trustify MCP Server?
The Trustify MCP Server is a service that implements the Model Context Protocol (MCP) and is used to transfer context information between models and external systems. It supports communication with clients through two methods: Stdio and SSE.How to use the Trustify MCP Server?
The Trustify MCP Server can be run via the command line, and environment variables can be configured to connect to a Trustify instance. It can run as a standard tool or a web service for other MCP clients to use.Applicable scenarios
This server is suitable for scenarios where model context information needs to be integrated with external systems (such as Trustify), such as code analysis and security checks.Main Features
Support multiple transmission methods
Supports Stdio (standard input/output) and SSE (Server-Sent Events), which can meet the needs of different clients.
Integrate with Trustify
Can interact with the Trustify platform, provide model context information, and enhance the security and accuracy of the model.
Easy to deploy and use
Can be built and run with simple commands, suitable for developers to get started quickly.
Advantages
Supports multiple transmission methods, with good compatibility.
Can be seamlessly integrated with the Trustify platform to enhance model capabilities.
Easy to build and run, suitable for rapid deployment.
Limitations
Requires configuring multiple environment variables, which may have a learning curve for beginners.
Depends on the availability of the Trustify instance. If it is unavailable, it cannot work properly.
Currently only supports implementation in the Rust language, which may limit the use of some users.
How to Use
Install dependencies
Ensure that the Rust and Cargo toolchains are installed to compile and run the project.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Build the server
Use the cargo command to build the server and select the Stdio or SSE mode.
Set environment variables
Set environment variables such as API_URL and OPENID_ISSUER_URL according to your needs.
Run the server
Use the cargo command to start the server and select the corresponding mode.
Usage Examples
Code analysis
Send code snippets to the MCP server, obtain context information, and perform security checks.
Model context interaction
Add context information to the model request to improve the accuracy of model understanding.
Frequently Asked Questions
What environment variables does the Trustify MCP Server require?
How to choose between Stdio and SSE mode?
If the operation fails, how should I troubleshoot?
Related Resources
Official MCP Rust SDK
Rust language implementation of the MCP protocol, including core functions and examples.
MCP Inspector
MCP client tool, which can be used to test and debug the MCP server.
MCP Documentation
Official documentation of the Model Context Protocol, detailing the protocol specifications and usage methods.
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
17.5K
4.5 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
18.4K
4.3 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
54.7K
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
28.5K
5 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
51.1K
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#
24.2K
5 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
75.5K
4.7 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
35.5K
4.8 points