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Tamarind Bio

ChatGPT plugin

Protein and molecular design

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Scientific research2nd of 27 by placement
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1Undermind#1297places up
2Tamarind BioThis page#81824places down
3Inductive#91611places down
4Proto#1016208places up
5NGS Analysis Workbench#1282526places up
6Life Sciences Literature#1438463places up
7Rowan#1575256places up

All 27 Scientific research plugins

Connect ChatGPT to your Tamarind Bio workspace for protein and molecular science. Validate, estimate, submit, and monitor jobs across 300+ tools — structure prediction, docking, protein and antibody design, molecular dynamics, and property prediction. Chain tools into pipelines, batch many inputs at once, and pull back structures, results, and logs — all from chat.

Example prompts

  • “Predict the structure of KRAS G12C and return the top-ranked model with confidence metrics.”
  • “Design nanobody binders to PD-L1, then refold and rank the best candidates.”
  • “Dock imatinib into ABL1 kinase and summarize the highest-confidence poses.”

Skills

  • tamarind-mcp-antibody

    Design, redesign, model, number, humanize, or search antibodies, nanobodies, VHHs, and TCRs with Tamarind Bio through MCP. Use for CDR-aware and repertoire-specific workflows when MCP is requested. Not for generic non-antibody binder design, ordinary complex folding, or developability scoring alone.

  • tamarind-mcp-batch

    Run one Tamarind Bio tool across many independent inputs with one MCP submitBatch call, then monitor subjobs and rank completed results. Use for libraries, screens, generated-sequence refolding, or repeated inference. Not for one input, dependent tool stages, loops of submitJob, or CLI batches.

  • tamarind-mcp-binder-design

    Design new protein, peptide, macrocycle, or small-molecule binders against a target with Tamarind Bio through MCP, then refold and rank candidates. Use for de novo generation when MCP is requested. Not for antibody CDR engineering, fixed-backbone inverse folding, docking an existing ligand, or predicting an existing structure.

  • tamarind-mcp-developability

    Score protein or antibody candidates for stability, aggregation, solubility, viscosity, polyreactivity, glycosylation, immunogenicity, and related developability risks with Tamarind Bio through MCP. Use as a post-design filter. Not for generating molecules, folding structures, or measuring binding alone.

  • tamarind-mcp-docking

    Dock or screen known ligands against a receptor, perform protein-protein docking, or score existing poses and complexes with Tamarind Bio through MCP. Use for pocket-based or blind docking and pose ranking. Not for sequence co-folding, generating a new ligand or binder, or general structure prediction.

  • tamarind-mcp-finetune

    Fine-tune a supported Tamarind-hosted model on labeled data and run its matching inference tool through MCP. Use for live account-visible finetune/inference pairs in protein, affinity, enzyme, or small-molecule workflows. Not for stock inference, ordinary batch prediction, or unsupported custom training code.

  • tamarind-mcp-inverse-folding

    Design sequences for a fixed protein backbone or run protein language models for embeddings, mutation scoring, likelihoods, and sequence generation with Tamarind Bio through MCP. Use for ProteinMPNN-, LigandMPNN-, ESM-IF-, or PLM-style tasks. Not for de novo backbone generation, antibody CDR design, or ordinary folding.

  • tamarind-mcp-more-tools

    Discover and run Tamarind Bio tools outside the dedicated MCP structure, binder, antibody, docking, inverse-folding, and developability skills. Use for enzymes, small-molecule properties or QM, molecular dynamics, nucleic acids, cryo-EM, structure search, and utilities. Not for a domain with a dedicated Tamarind MCP skill.

  • tamarind-mcp-pipeline

    Orchestrate multiple dependent Tamarind Bio tools as a resumable MCP campaign where successful stages feed later stages, such as design to fold to score. Use when stages depend on earlier artifacts or metrics. Not for one job, one independent batch, a nonexistent submitPipeline call, or CLI orchestration.

  • tamarind-mcp-results-analysis

    Recover and analyze an existing Tamarind Bio job or batch through MCP by durable name, including bounded monitoring, logs, metrics, output-file inspection, cancellation, and downstream artifact selection. Use after submission or across sessions. Not for starting a new job or using the CLI.

  • tamarind-mcp-setup

    Connect, authenticate, or troubleshoot the Tamarind Bio MCP server and run a no-spend connectivity check. Use when Tamarind MCP tools are missing, OAuth is incomplete or rejected, or the user wants MCP rather than the Tamarind CLI. Not for selecting a scientific model or submitting compute.

  • tamarind-mcp-structure-prediction

    Predict or co-fold proteins, peptides, nucleic acids, ligands, or biomolecular complexes with Tamarind Bio through MCP. Use for live AlphaFold-, Boltz-, Chai-, ESMFold-, or Protenix-style structure workflows when MCP is requested. Not for de novo binder generation, antibody-specific modeling, or docking into a known pocket.

Show all 14
  • tamarind-mcp-submit-and-poll

    Run one known Tamarind Bio tool end to end through MCP by validating settings, estimating runtime and weighted hours, confirming consequential choices, submitting once, polling with a finite deadline, and retrieving results. Also use to reattach to one existing job. Not for tool selection, batch submission, or CLI execution.

  • tamarind-mcp-tool-discovery

    Choose a Tamarind Bio tool by querying the live MCP catalog and schema. Use when the user requests MCP, has not named a tool, several tools could fit, or availability and required inputs must be verified. Not for reconnecting OAuth or executing a tool that is already selected.

Categories
Made by
Tamarind Bio · Website
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Availability
Available
Version
1.0.0
Created
July 21, 2026
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