AIBase
EN
Explore
Model Context Protocol (mcp) Types
M

Model Context Protocol (mcp) Types

This project provides Rust - based type definitions for the Model Context Protocol (MCP) specification, used for standardized context interaction between AI models and runtime environments.
Developer toolsArtificial intelligence chatbots#AI interaction protocol#Rust types#Context specification#Model communication.Rust
2.5 points
5.9K
Open Site

Overview

Content Details

Alternatives

What is the MCP Rust type library?

This is a type library implemented in Rust, generated based on the Model Context Protocol (MCP) specification, used for standardizing the context data exchange between AI models and runtime environments.

How to use the MCP Rust type library?

It can be used by simply importing the Rust crate. All types support serde serialization/deserialization, which facilitates integration with various systems.

Use cases

It is suitable for applications that require the exchange of context information between AI models and execution environments, such as multi - model collaboration and context - aware AI systems.

Main features

Strong type support
Automatically generate Rust types from JSON Schema to ensure type safety
Serde integration
All types support serde serialization/deserialization
Specification version support
Supports the MCP specification version 2024 - 11 - 05
Advantages
Standardized interface to improve system interoperability
Automatically generated types reduce manual coding errors
Comprehensive documentation and specification support
Limitations
Only supports the Rust language ecosystem
Requires an understanding of the MCP specification to make full use of it
New versions may require code updates

How to use

Add dependencies
Add the mcp crate dependency to Cargo.toml
Import types
Import the required types in the code
Use types
Create and use the data structures defined by MCP

Usage examples

Create a context
Create a new MCP context object
Serialize the context
Serialize the MCP context to JSON

Frequently Asked Questions

Which versions of the MCP specification does this library support?
How to update to the new version of the specification?
Does it support other programming languages?

Related resources

MCP specification documentation
Official MCP specification documentation
GitHub repository
MCP specification source code and issue tracking
typify tool
Tool for generating these types

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
8.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.1K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.3K
4 points
P
Paperbanana
Python
8.1K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.3K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.9K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.5K
5 points
M
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
36.3K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.9K
4.3 points
N
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
22.5K
4.5 points
G
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
25.9K
4.3 points
F
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
67.8K
4.5 points
U
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#
36.5K
5 points
M
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
52.7K
4.8 points
C
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
103.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase