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OSDR MCP Server + Agents

@alwalt

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

alwalt

关于 OSDR MCP Server + Agents

暂无概览

OSDR MCP Server + Agents 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "osdr_mcp_server": {
      "command": "python",
      "args": [
        "first_example/main.py"
      ]
    }
  }
}

OSDR MCP Server + Agents 工具

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。

概览

What is 🧠 OSDR MCP Server + Agents?

This project demonstrates how to integrate MCP agents with custom tools for interacting with NASA’s Open Science Data Repository (OSDR). It includes working examples of agent workflows that fetch, analyze, and summarize biological data using the Model Context Protocol (MCP).

How to use 🧠 OSDR MCP Server + Agents?

Clone the repository, install dependencies with pip install -r requirements.txt, then run an example (e.g., python first_example/main.py) or launch the MCP server directly (python osdr_mcp/main_simple.py). Configuration is done via cp_agent.config.yaml.

Key features of 🧠 OSDR MCP Server + Agents

  • Exposes custom MCP tools: osdr_fetch_metadata and osdr_find_by_organism
  • Includes additional RNA analysis tools in osdr_viz_tools
  • Three example agent workflows for different integration levels
  • Configurable LLM backend (Ollama, OpenAI) and MCP server connections
  • Multi-agent pipeline: fetch, quantitative analysis, and summary writing

Use cases of 🧠 OSDR MCP Server + Agents

  • Fetch metadata for a specific OSDR dataset
  • Filter OSDR studies by organism name
  • Generate a tweet-sized summary using official MCP servers
  • Download RNA count data and create a bar plot
  • Produce a markdown report summarizing biological analysis

常见问题

1

How do I configure the LLM backend?

Edit `cp_agent.config.yaml` to set the LLM backend (e.g., Ollama or OpenAI) and adjust system prompts, MCP server connections, and tool availability.

2

How do I run a specific example?

From the repo root, run `python first_example/main.py`, `python second_example/main.py`, or `python third_example/main.py` depending on the desired workflow.

3

What are the custom MCP tools available?

The `osdr_mcp` package provides `osdr_fetch_metadata` and `osdr_find_by_organism`; additional tools like RNA analysis are in `osdr_viz_tools`.

4

Where does the data come from?

All biological data is fetched from NASA’s Open Science Data Repository via its public API.

5

What are the runtime requirements?

Python and the packages listed in `requirements.txt`. Optionally, an LLM backend like Ollama or an OpenAI API key must be configured.

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