Schema | BioNext-mcp

BioNext-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`PROJECT_PATH`	Yes	Path to your analysis directory where results are saved. Set in the env of the MCP server configuration.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
analyze_bioinformatics_taskB	Analyze user intent and create a bioinformatics workflow plan. This tool helps understand your analysis goals and prepares the workflow structure. After this, ask Claude to generate Python scripts (≤100 lines each), then use execute_claude_script to run them.
debug_workflowC	Analyze workflow execution results and provide debugging insights
execute_claude_scriptA	🚀 MAIN TOOL: Automatically detect and execute Python scripts generated by Claude LLM for bioinformatics tasks. Features: ✅ Auto-detects Python installation ✅ Provides detailed installation guide if Python missing ✅ Auto-installs required packages (pandas, numpy, biopython, etc.) ✅ Full execution logging and error handling ✅ Script length monitoring (recommends ≤100 lines) ✅ HTML report generation with auto-browser opening

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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