MCP Example
M

MCP Example

A reference project implementing the Model Context Protocol (MCP), providing a standard for tool calls between LLMs and applications, including local and remote call implementations, and integrating AWS Bedrock and Claude 3.7.
2.5 points
8.0K

What is Model Context Protocol (MCP)?

MCP is a standardized protocol designed to facilitate efficient interaction between large language models (LLMs) and various tools. It defines a standard format for function calls, enabling models to easily call local or remote tools.

How to use the MCP server?

The MCP server can be accessed via the command-line interface or HTTP API. You can list available tools, call tools, and get response results.

Applicable scenarios

The MCP server is well-suited for scenarios that require automated tool calls, such as data analysis, text processing, and mathematical calculations.

Main features

Local tool calling
Call local tools directly via standard input/output (stdio).
Remote tool calling
Call tools on remote servers via HTTP API.
AWS Bedrock integration
Support integration with AWS Bedrock and the Claude 3.7 model to enhance natural language processing capabilities.
Tool chaining
Support the combined use of multiple tools to achieve complex workflows.
Result streaming
Support real-time return of long-task results to improve the user experience.
Function caching
Cache the results of frequently called functions to reduce repeated network requests.
Advantages
Support multiple tool calling methods
Easy to expand new tools and services
Enhance the functions of language models
Support large-scale distributed deployment
Limitations
Require certain configuration and installation steps
Some advanced features may require additional payment
Depend on a stable network environment

How to use

Install the MCP server
Download and install the MCP server according to the installation guide.
Start the MCP server
Run the command to start the local or remote MCP server.
Call tools
Use the command line or HTTP API to call the required tools.

Usage examples

Simple addition calculation
Call the calculator tool to perform a simple addition operation.
Convert text to uppercase
Convert a piece of text to all uppercase letters.
Analyze text
Analyze the basic statistical information of a piece of text.

Frequently Asked Questions

How to install the MCP server?
How to call remote tools?
Does it support caching?
How to handle errors?

Related resources

Official documentation
Detailed installation and usage guide.
GitHub repository
Source code and example projects.
Video tutorial
Quick start video.

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
6.0K
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
7.0K
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
14.2K
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
5.8K
4 points
P
Paperbanana
Python
7.2K
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
8.6K
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
7.0K
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
8.1K
5 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
21.5K
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
36.9K
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
25.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.2K
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
66.3K
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#
36.0K
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
50.3K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase