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80,701 servers. Updated
20 Best Jira MCP Servers: compared and ranked, September 2026Ranked from 513 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI agents to control RELION 5.x cryo-EM structure determination software through natural language, providing 23 tools for the complete single-particle analysis pipeline.
    4
    MIT
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    Enables editing and querying of Gene Ontology Causal Activity Models (GO-CAMs) through the Barista API. Supports model creation, individual and fact management, evidence addition, and causal pathway construction for biological knowledge representation.
    18
    BSD 3-Clause
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    Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.
    4
    4
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    MCP server for biopharma software infrastructure offering FDA 21 CFR Part 11 audit trails, CDISC SDTM/Allotrope data exports, 4PL dose-response curve fitting, and HIPAA PII/PHI redaction through 10 Zod-validated tools.
    10
    51
    MIT
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    Enables running GROMACS molecular dynamics simulations through natural language, with tools for topology building, solvation, simulation management, and trajectory processing via the Model Context Protocol.
    31
    MIT
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    Enables workflow management and Docker image building for Bio-OS platform. Supports WDL workflow submission, validation, and monitoring, along with Docker image building and status tracking for bioinformatics workflows.
    22
    5
    MIT
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    MCP server for gene family analysis, providing tools for FASTA validation and PlantCARE cis-element prediction, with backend task management for AI agents.
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    Enables Claude Code to interact with a TACC or SLURM HPC cluster for bioinformatics pipelines, allowing job management, log reading, file browsing, remote script execution, and job submission through natural language.
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    Manages local protein experiments with a Flask backend and SQLite, offering tools for protein library management, Beer-Lambert concentration calculations, BLI dilution planning, and experiment archiving. It provides 7 MCP tools for AI assistants like Claude to interact with the system.
    2
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    Enables protein sequence analysis and structure prediction by extracting ESM-2 embeddings and batch processing FASTA files via Docker. It provides tools for large-scale embedding extraction, job monitoring, and model management within an MCP-compatible environment.
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    Enables protein structure prediction using the Chai-1 model via Docker, with tools for small peptides, FASTA-based predictions, MSA-enhanced predictions, batch processing, and job management.