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helena-bioinformatics/noodle-mcp

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Noodle Biomedical Literature Discovery MCP — search papers and traverse citation or semantic literature graphs.

MCP

helena-bioinformatics/noodle-mcp

Added 8 Sept 2026

#agent-skill #bioinformatics #biomedical-literature #citation-graph #mcp-server #model-context-protocol #pubmed #semantic-search

Overview

Noodle is a biomedical literature discovery server for the Model Context Protocol. It searches papers and lets you traverse citation or semantic literature graphs. Built in Python, it connects to MCP-compatible clients for interactive exploration.

Best for

Best for
Bioinformatics developers who want an MCP server for exploring biomedical literature graphs.

Use cases

  • Search biomedical papers on a specific topic
  • Navigate citation graphs to trace related research
  • Explore semantic literature graphs for context connections

Notes

Noodle is a biomedical literature discovery server for the Model Context Protocol. It searches papers and lets you traverse citation or semantic literature graphs. Built in Python, it connects to MCP-compatible clients for interactive exploration.

0 stars on GitHub. Last updated 2026-09-01. Licensed Apache-2.0.

Use cases

  • Search biomedical papers on a specific topic
  • Navigate citation graphs to trace related research
  • Explore semantic literature graphs for context connections

Pros

  • Targeted at biomedical literature discovery
  • Supports both citation and semantic graph traversal
  • Integrates with MCP-compatible clients

Cons

  • No stars or community adoption yet
  • Python dependency limits non-Python environments
  • Feature set and maintenance are unproven

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Targeted at biomedical literature discovery
  • Supports both citation and semantic graph traversal
  • Integrates with MCP-compatible clients

Cons

  • No stars or community adoption yet
  • Python dependency limits non-Python environments
  • Feature set and maintenance are unproven
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