🧠 OSDR MCP Server + Agents

Name: 🧠 OSDR MCP Server + Agents
Author: alwalt

@alwalt

リポジトリ

🧠 OSDR MCP Server + Agents について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

alwalt

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from 🧠 OSDR MCP Server + Agents

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.

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.

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.

Where does the data come from?

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

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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