Neva is an easily configurable MCP server and client SDK in Rust, supporting tool invocation and resource management. It is currently in the preview stage.
2.5 points
8.3K

What is Neva MCP Server?

Neva is an implementation of the MCP protocol developed in Rust, providing server and client SDKs. It allows developers to easily build and connect to MCP services, enabling functions such as tool invocation, resource access, and prompt analysis.

How to use Neva MCP Server?

You can start an MCP server or connect to an existing service with simple Rust code. The server side can register tools, resources, and prompt handlers, while the client side can invoke these functions.

Applicable Scenarios

Suitable for scenarios that require building model services, tool integration, or AI application backends, especially projects that need flexible protocol support.

Main Features

Client SDK
Provides a complete MCP client implementation, supporting functions such as tool invocation and resource access.
Server Framework
An easily extensible server framework that supports registering tools, resources, and prompt handlers.
Standard Input/Output Support
Supports communication with child processes through standard input and output.
Asynchronous Support
Asynchronous implementation based on Tokio, capable of handling concurrent requests with high performance.
Advantages
Simple and easy-to-use API design
High-performance Rust implementation
Flexible configuration options
Complete error handling mechanism
Limitations
Currently in preview stage, the API may be unstable
Requires a Rust development environment
Documentation and examples are still being improved

How to Use

Add Dependencies
Add the neva dependency to Cargo.toml and choose the client-full or server-full feature as needed.
Initialize the Client/Server
Create a Client or App instance and configure the required options.
Connect/Start the Service
The client calls the connect method to connect, and the server calls the run method to start.
Invoke Functions
The client can invoke tools and access resources, while the server needs to register handlers first.

Usage Examples

Create an Echo Service
Implement a simple echo tool to return the input message.
Resource Access
Implement a resource handler to return resource details by name.

Frequently Asked Questions

Is Neva currently stable?
What Rust version is required?
How to contribute code?

Related Resources

API Documentation
Complete API reference documentation
Example Code
Example code for various usage scenarios
GitHub Repository
Project source code and issue tracking

Installation

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

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
9.2K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
8.9K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
8.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 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
16.6K
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
14.8K
4.5 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
24.6K
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
44.0K
4.3 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#
19.2K
5 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
44.5K
4.5 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
30.3K
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
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase