Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Agent Toolkit Search the web for MCP security best practices and save a summary to notes.md"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Out-of-the-box Model Context Protocol (MCP) server collection and agent skill suite
MCP Agent Toolkit is a high-performance MCP (Model Context Protocol) extension service collection built specifically for agent environments such as Claude Desktop, Cursor IDE, Windsurf, AgentScope, and QwenPaw.
It enables large language models to securely and efficiently interact with local files, the live internet, databases, and various development tools, truly turning AI into a self-directed productivity agent.
flowchart LR
User["开发者 / 用户"] --> Agent["AI Agent (Cursor / Claude / AgentScope)"]
Agent <-->|"MCP 协议"| Toolkit["⚡ MCP Agent Toolkit"]
Toolkit --> Search["实时网络检索"]
Toolkit --> Code["代码 AST 分析"]
Toolkit --> DB["本地 / 云端数据库"]
Toolkit --> System["系统工作流自动化"]This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Build, validate, and deploy multi-agent AI solutions from any AI environment.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/laurentshowtime/mcp-agent-toolkit'
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