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data-commons-search

by EOSC-Data-Commons

Overview

Provides a natural language search interface over open-access scientific datasets and tools, assisted by a Large Language Model (LLM) through the Model Context Protocol (MCP).

Installation

Run Command
docker compose up

Environment Variables

  • OPENSEARCH_URL
  • EINFRACZ_API_KEY
  • OPENROUTER_API_KEY
  • CHAT_API_KEY
  • FILEMETRIX_API
  • TOOL_REGISTRY_API

Security Notes

The server's CORS configuration sets `allow_origins=['*']`, which is a significant security risk for production deployments as it permits requests from any domain. The `/chat` endpoint's `CHAT_API_KEY` is optional, making LLM calls potentially unauthenticated and vulnerable to abuse if not set. The `search_data` tool uses `query_string` within OpenSearch, which, while generally more robust than SQL, could theoretically be susceptible to resource exhaustion attacks if highly complex or long queries are injected without proper validation. External API calls to `FileMetrix` and `Tool Registry` are made without explicit authentication in the provided code, which could be a risk if these endpoints are not publicly accessible or require authorization.

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Stats

Interest Score38
Security Score5
Cost ClassHigh
Avg Tokens8000
Stars11
Forks3
Last Update2026-01-13

Tags

LLMSearchDatasetsToolsMCP