Agentcraft MCP
AgentCraft is an enterprise-level AI agent framework that provides secure and scalable intelligent agent services.
rating : 2.5 points
downloads : 23
What is the AgentCraft MCP Server?
The AgentCraft MCP Server is a secure AI agent communication and data exchange tool designed specifically for enterprises. It supports preset and customized AI agents, ensuring the privacy and security of enterprise data.How to use the AgentCraft MCP Server?
Through simple installation and configuration, you can quickly deploy AI agents and interact with them. You can start using it in just a few steps.Applicable Scenarios
Suitable for enterprise environments that require secure AI agent communication, such as customer service systems, data analysis, intelligent assistants, etc.Main Features
Secure CommunicationEnsure that data transmission between AI agents is encrypted and secure.
Customizable AI AgentsSupport preset and custom AI agents to meet different business needs.
Scalable ArchitectureSupport large-scale enterprise deployment to ensure system stability and performance.
Windsurf MCP Client SupportSeamlessly integrate with the Windsurf MCP client to enhance the user experience.
Advantages and Limitations
Advantages
Strong security and privacy protection
Support for integration of multiple AI agents
Easy to expand and maintain
Limitations
High initial deployment cost
Certain requirements for IT infrastructure
How to Use
Install the AgentCraft MCP Server
Install the AgentCraft MCP Server using pip.
Start the Server
Run the following command to start the server.
Configure the Client
Add the MCP server configuration to claude_desktop_config.json.
Usage Examples
Send a Message to an AI AgentSend a message to an AI agent and receive a response.
Receive a Weather ForecastQuery the weather forecast and receive the result in Markdown format.
Frequently Asked Questions
How to install the AgentCraft MCP Server?
Does it support custom AI agents?
How to start the server?
Related Resources
Official Documentation
Detailed usage guides and technical documentation.
GitHub Repository
Source code and example projects.
Contact Support
Contact the technical support team.
Featured MCP Services

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
141
4.5 points

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
86
4.3 points

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
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

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#
565
5 points

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
6.7K
4.5 points

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
282
4.5 points

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
5.2K
4.7 points