AIBase
EN
Explore
MCP Sandbox
M

MCP Sandbox

This project is a multi - tool integration and code execution platform based on FastMCP. It supports importing MCP tools from local and SSE clients, provides Docker deployment and streaming code execution management, and is suitable for various tool invocation scenarios such as chemical information query and web page parsing.
Developer toolsResearch and data#Tool Integration#Code Execution#Streaming Response#Multi - Tool Management.Python
2.5 points
0
Open Site

Overview

Content Details

Alternatives

What is the MCP Tool Server?

The MCP Tool Server is a service platform that integrates multiple artificial intelligence tools and is built based on the Model Context Protocol standard. It allows users to access various functions through a unified interface, including code execution, chemical compound query, web search, data analysis, etc. The server supports local tool deployment and remote tool connection, providing flexible tool integration solutions for developers.

How to use the MCP Tool Server?

Users can use this service in two main ways: 1) Invoke tools through the built - in Agent framework, 2) Execute code directly through the HTTP API. The server supports session management, and each session has an independent execution environment that can maintain state and variables.

Applicable Scenarios

It is suitable for application scenarios that require the integration of multiple AI tools, such as scientific research data analysis, chemical information query, web information retrieval, and automated task processing. It is particularly suitable for scenarios where multiple tools need to be combined to complete complex tasks.

Main Features

Local Tool Integration
Supports local deployment and running of custom tools. Tool functions can be defined through simple decorator syntax.
Remote Tool Connection
Can connect to remote MCP services through SSE (Server - Sent Events) to expand tool capabilities.
Session Management
Supports multi - session isolation. Each session has an independent code execution environment and variable space.
Streaming Response
Tool execution results are returned in a streaming manner, supporting real - time display of execution progress and intermediate results.
Chemical Information Query
Integrates the PubChem database and supports searching for chemical information by compound name.
Web Search
Provides web search functionality, capable of obtaining the latest web information and relevant data.
Advantages
A unified tool invocation interface simplifies the integration of multiple tools.
Supports mixed use of local and remote tools.
Streaming response provides a better user experience.
Session isolation ensures the independence of task execution.
Based on the standard MCP protocol, it has good scalability.
Limitations
Requires certain technical knowledge for tool deployment and configuration.
Remote tools depend on the stability of the network connection.
Session management requires manual maintenance of the session lifecycle.
Some advanced features require knowledge of specific tool usage methods.

How to Use

Environment Preparation
Ensure that the server runs in a Docker environment and configure the required CPU and memory resources.
Tool Configuration
Configure the tools to be used in config/server_list.json, including the local tool path and the remote SSE link.
Start the Service
Run the deployment script in the container to start all configured tool services.
Invoke Tools
Invoke tools through the Agent framework or HTTP API and manage the session lifecycle.

Usage Examples

Chemical Compound Query
Query detailed information of specific chemical compounds.
Web Price Query
Search for the latest product price information.
Data Analysis Task
Perform complex data processing and analysis tasks.

Frequently Asked Questions

How to add a new local tool?
How to set the session timeout period?
How to handle tool execution errors?
How to release session resources?
What types of remote tool connections are supported?

Related Resources

Official Documentation of the MCP Protocol
Official documentation and specification description of the Model Context Protocol.
Docker Deployment Guide
A detailed guide for Docker containerized deployment.
PubChem Database API
API documentation of the PubChem chemical database.
Example Code Library
A code library containing tool examples and configuration templates.

Installation

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

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
5.7K
5 points
M
Maverick MCP
Python
5.9K
4 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.8K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.2K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
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
13.1K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.0K
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
9.7K
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
17.5K
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
28.6K
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
17.5K
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
53.9K
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
51.3K
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#
24.3K
5 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
17.2K
4.5 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
75.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase