Nullary

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP
• Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

You need

• Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

https://mcp.nullary.ai/mcp

claude mcp add --transport http nullary https://mcp.nullary.ai/mcp

{
  "mcpServers": {
    "nullary": {
      "url": "https://mcp.nullary.ai/mcp"
    }
  }
}

{
  "servers": {
    "nullary": {
      "type": "http",
      "url": "https://mcp.nullary.ai/mcp"
    }
  }
}

https://mcp.nullary.ai/mcp

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

• search_inactive_compounds

  Inactive small-molecule compound-target pairs.

• search_failed_selectivity

  Small molecules that failed selectivity.

• search_admet_failures

  Small-molecule ADMET failures.

• search_failed_guides

  Failed/ineffective CRISPR guides.

• search_failed_essentiality_screens

  Non-dependency / failed essentiality screens.

• search_ancestry_specific_failures

  Ancestry-specific CRISPR failures.

• search_developability_failures

  Antibody developability failures.

• search_failed_clinical_antibodies

  Discontinued/terminated clinical antibodies.

• search_failed_peptide_therapeutics

  Failed peptide therapeutics.

• search_peptide_stability_issues

  Peptide stability/half-life failures.

• search_failed_protacs

  PROTACs that failed degradation/ternary/permeability.

• search_protac_e3_issues

  PROTAC E3-ligase recruitment / ternary failures.

• search_failed_oligonucleotides

  ASOs/siRNAs that failed engagement/developability.

• search_oligo_delivery_failures

  Oligonucleotide delivery failures.

• search_failed_vaccines

  Failed/terminated vaccines (by pathogen/indication).

• search_vaccine_immunogenicity_failures

  Failed vaccine immunogen designs.

• search_failed_adcs

  ADCs that failed at any stage.

• search_adc_linker_failures

  ADC failures attributed to linker chemistry.

• search_failed_bispecifics

  Bispecifics that failed at any stage.

• search_bispecific_format_failures

  Bispecific format/engineering failures.

• search_admet_failures_all_modalities

  ADMET failures across ALL modalities.

• search_drug_drug_interaction_failures

  Drug-drug interaction failures.

• search_mechanism_failures

  Approaches that failed for a mechanism (by target).

• search_failed_replications

  Findings that failed to replicate.

• search_safety_failures

  Clinical/preclinical safety failures across modalities.

• search_target_history

  ALL failed approaches against a target across every modality.

• search_indication_history

  ALL failed approaches for an indication across every modality.

• search_pathogen_history

  Vaccine + antimicrobial + antibody failures for a pathogen.

• get_compound

  A compound (structure, name, max clinical phase) + its full negative profile across modalities/sources.

• get_finding_provenance

  Full provenance + detail for a single finding by id.

• get_target_landscape

  Target 'graveyard' / exhaustion index: how many distinct compounds/agents have been tried against a target and failed, broken down by modality and outcome. Answers 'how picked-over is this target?'. Accepts a gene symbol (e.g. EGFR) or a UniProt accession (e.g. P00533).

• list_top_targets

  Coverage browse: the most heavily-pursued ('graveyard') targets, ranked by recorded negative findings. Optional family filter (kinase, gpcr, protease, nuclear_receptor, ion_channel, transporter, phosphatase, other).

• list_models

  Summary of the Layer-1 inactivity-scoring model registry: how many per-target models, split by family, and median scaffold-split ROC-AUC.

• get_model_card

  Per-target Layer-1 model card: training counts and held-out scaffold-split metrics (ROC-AUC, PR-AUC, Brier, calibration). Accepts a gene symbol (e.g. EGFR) or UniProt accession (e.g. P00533).

• get_coverage

  Per-modality and per-source coverage stats (honest Phase-1 numbers).

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified against the domain nullary.ai (the registry checks domain ownership)

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 271 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 35 tool descriptions and found no hidden instructions to the AI

Compared with others in Clinics & healthi

• More stars than 0% of the other 1061 servers in this category
• Published to the registry more recently than 10% of the other 1061 servers in this category
• Basic checks equal to or better than 100% of the other 1061 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

README from the maker

No README found in the repo