Nullary

ai.nullary由 nullary.ai 發布官方發布者v1.0.1更新於 Oct 27, 2026

Negative results intelligence for drug discovery — query measured failures via MCP.

已驗證Streamable HTTP可網頁執行知識與記憶資料與分析AI 與機器學習

概覽

AI 產生的概覽

針對藥物研發陰性結果的遠端 MCP 伺服器,可查詢化合物、生物藥、標的與適應症的實測失敗資料。

可以做什麼
  • 依模態搜尋陰性結果:小分子、抗體、胜肽、PROTAC、寡核苷酸、疫苗、ADC 與雙特異性抗體
  • 查詢某個標的、適應症或病原體橫跨所有模態的失敗歷史
  • 檢視化合物的結構、名稱、最高臨床階段與完整陰性檔案
  • 依 id 取得單一發現的完整來源與細節
  • 依基因符號或 UniProt 編號瀏覽標的「墓地」排名與標的消耗指數
  • 檢視失活評分模型卡、模型登錄概況與各模態覆蓋統計
適用情境
適合在評估藥物研發風險時使用:確認某標的、機制或模態是否已經失敗,在立項前回顧既有陰性結果,或查證某化合物或類別為何被中止。
執行需求
遠端 streamable HTTP 端點 mcp.nullary.ai;未宣告任何套件、環境變數或標頭,也未宣告身分驗證。
安裝前請注意
服務本身為唯讀查詢,但查詢內容會向第三方伺服器揭露你正在研究的標的、化合物或適應症。覆蓋範圍自稱僅為第一階段資料,可能不完整;依賴結論前應透過來源查詢工具核實。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Nullary,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.nullary%2Fnullary/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

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

README

該儲存庫沒有 README。

工具

35

search_inactive_compounds

Search inactive compounds

Inactive small-molecule compound-target pairs.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_selectivity

Search failed selectivity

Small molecules that failed selectivity.

輸入參數tierlimitoffsettargetoutcomecompound

search_admet_failures

Search admet failures

Small-molecule ADMET failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_guides

Search failed guides

Failed/ineffective CRISPR guides.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_essentiality_screens

Search failed essentiality screens

Non-dependency / failed essentiality screens.

輸入參數tierlimitoffsettargetoutcomecompound

search_ancestry_specific_failures

Search ancestry specific failures

Ancestry-specific CRISPR failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_developability_failures

Search developability failures

Antibody developability failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_clinical_antibodies

Search failed clinical antibodies

Discontinued/terminated clinical antibodies.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_peptide_therapeutics

Search failed peptide therapeutics

Failed peptide therapeutics.

輸入參數tierlimitoffsettargetoutcomecompound

search_peptide_stability_issues

Search peptide stability issues

Peptide stability/half-life failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_protacs

Search failed protacs

PROTACs that failed degradation/ternary/permeability.

輸入參數tierlimitoffsettargetoutcomecompound

search_protac_e3_issues

Search protac e3 issues

PROTAC E3-ligase recruitment / ternary failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_oligonucleotides

Search failed oligonucleotides

ASOs/siRNAs that failed engagement/developability.

輸入參數tierlimitoffsettargetoutcomecompound

search_oligo_delivery_failures

Search oligo delivery failures

Oligonucleotide delivery failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_vaccines

Search failed vaccines

Failed/terminated vaccines (by pathogen/indication).

輸入參數tierlimitoffsettargetoutcomeindication

search_vaccine_immunogenicity_failures

Search vaccine immunogenicity failures

Failed vaccine immunogen designs.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_adcs

Search failed adcs

ADCs that failed at any stage.

輸入參數tierlimitoffsettargetoutcomecompound

search_adc_linker_failures

Search adc linker failures

ADC failures attributed to linker chemistry.

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_bispecifics

Search failed bispecifics

Bispecifics that failed at any stage.

輸入參數tierlimitoffsettargetoutcomecompound

search_bispecific_format_failures

Search bispecific format failures

Bispecific format/engineering failures.

輸入參數tierlimitoffsettargetoutcomecompound

search_admet_failures_all_modalities

Search admet failures all modalities

ADMET failures across ALL modalities.

輸入參數tierlimitoffsettargetoutcomecompound

search_drug_drug_interaction_failures

Search drug drug interaction failures

Drug-drug interaction failures.

輸入參數tierlimitoffsetoutcomecompound

search_mechanism_failures

Search mechanism failures

Approaches that failed for a mechanism (by target).

輸入參數tierlimitoffsettargetoutcomecompound

search_failed_replications

Search failed replications

Findings that failed to replicate.

輸入參數tierlimitoffsettargetoutcomecompound

search_safety_failures

Search safety failures

Clinical/preclinical safety failures across modalities.

輸入參數tierlimitoffsettargetoutcomecompound

search_target_history

Search target history

ALL failed approaches against a target across every modality.

輸入參數tierlimitoffsettarget必填

search_indication_history

Search indication history

ALL failed approaches for an indication across every modality.

輸入參數tierlimitoffsetindication必填

search_pathogen_history

Search pathogen history

Vaccine + antimicrobial + antibody failures for a pathogen.

輸入參數tierlimitoffsetpathogen必填

get_compound

Get compound

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

輸入參數tierlimitoffsetchembl_idinchi_keypubchem_cid

get_finding_provenance

Get finding provenance

Full provenance + detail for a single finding by id.

輸入參數id必填

get_target_landscape

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).

輸入參數target必填

list_top_targets

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).

輸入參數limitfamily

list_models

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.

無需輸入參數。

get_model_card

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).

輸入參數target必填

get_coverage

Get coverage

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

無需輸入參數。

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

評分

已滿足適用檢查項的 75%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款10 分

    請在儲存庫或註冊中心條目中宣告授權條款。