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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
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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.

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