What runtime dependencies does MCP SERVER LIMS require?
The server requires `uv` for setup and the MCP Python SDK. It also needs `mcp-server-sqlite` running for database access.
@sheffler
基本信息
MCP Tools use for a Laboratory Information Management System
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-lims-server": {
"command": "/Users/sheffler/git/mcp-server-lims/.venv/bin/python",
"args": [
"/Users/sheffler/git/mcp-server-lims/lims_server.py"
]
},
"sqlite": {
"command": "/Users/sheffler/.local/bin/uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"/Users/sheffler/test.db"
]
}
}
}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 LIMS implements a simulated laboratory workflow for an AI Agent to manage sample data across accessioning, preparation, analysis, and report generation steps. It provides MCP tools that mimic instrument interfaces with rich JSON Schema types, intended for use with Anthropic’s Claude or other MCP clients. The server is accompanied by a companion SQLite database server.
Clone the repository, set up a Python virtual environment with uv, and install dependencies. Configure the server in Claude Desktop or Oterm by editing the respective JSON config file to point to lims_server.py. The server must be run alongside mcp-server-sqlite.
The server requires `uv` for setup and the MCP Python SDK. It also needs `mcp-server-sqlite` running for database access.
The preparation tool randomly assigns a genetic tag and a “passed” or “failed” status per sample. The analyzer tool randomly produces a metric value.
The example workflow assumes a database is available for storing intermediate results; the AI agent may use the SQLite server to save data.
The README does not specify any transport or authentication; it suggests direct local configuration with Claude Desktop or Oterm via stdio.
The README does not state an explicit limit; the tools accept an array of samples.

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