What is included in the collection?
The collection currently has two implementations: MCP PostgreSQL Server (mcp-psql/) and MCP Figma Server (mcp-figma/), each with its own documentation.
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基本信息
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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 Server Test Collection is a repository containing tests and implementations for various Model-Context-Protocol (MCP) server architectures, focusing on different aspects of MCP patterns and database interactions. It serves as a testing ground, reference for best practices, and a showcase of AI integration approaches with databases and design tools.
Each implementation in the collection has its own setup instructions and documentation. Refer to the specific implementation’s README for details on installation, configuration, and invocation.
The collection currently has two implementations: MCP PostgreSQL Server (mcp-psql/) and MCP Figma Server (mcp-figma/), each with its own documentation.
Create a new directory for your implementation, include comprehensive documentation, follow the existing project structure, and add appropriate tests.
The PostgreSQL implementation includes read-only query validation to ensure safe database access.
The project is licensed under the MIT License.

Multi-zone MCP server for GKE/EKS/AKS: Python tools from git, NeMo guardrails, SSO, autoscaling.
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
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