What servers are included in MCP Servers?
Git, Filesystem, PostgreSQL, Memory (knowledge graph), and the MCP Inspector GUI.
@ajoslin103
基本信息
these are my MCP servers, and their support structure
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-servers-ajoslin103": {
"command": "docker",
"args": [
"compose",
"up",
"-d"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Servers is a Docker Compose project that sets up multiple Model Context Protocol (MCP) servers. It bundles a Git server, Filesystem server, PostgreSQL server, Memory server, and an Inspector GUI, providing out‑of‑the‑box MCP capabilities for development and debugging.
Initialize the repository with ./scripts/init-repo.sh, then start the containerized servers with docker compose up -d. For debugging, launch the MCP Inspector locally via ./scripts/start-inspector.sh (accessible at http://localhost:5173). Stop servers with docker compose down and the Inspector with ./scripts/stop-inspector.sh.
Git, Filesystem, PostgreSQL, Memory (knowledge graph), and the MCP Inspector GUI.
Run `docker compose up -d` after initializing the repository with `./scripts/init-repo.sh`.
Start the Inspector with `./scripts/start-inspector.sh` and open `http://localhost:5173` in your browser.
Yes, copy the template scripts (`template-start-mcp-server.sh` and `template-stop-mcp-server.sh`), edit the `SERVER_NAME`, `NPX_COMMAND`, and `PORT` variables, and run the new start script.

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
Hindsight: Agent Memory That Learns

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
评论