Claidex MCP
Biomedical failure intelligence platform for terminated trials and translational analysis.
사용해야 할까요
품질 및 안전성
발견 사항 (1)
- LOWTool 'claidex_research_prompt' description lacks action verbclaidex_research_prompt에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"failure-intelligence": {
"command": "npx",
"args": [
"@claidex-mcp/claidex-mcp"
]
}
}
}실행 가능한 패키지
1.0.0stdio원격 엔드포인트
https://app.claidex.com/api/mcpstreamable-http할 수 있는 일
도구 목록
도구 (24)
⚪claidex_capabilities
Return the Claidex MCP feature map, configured storage/model providers, safety controls, resources, prompts, and tool counts.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢claidex_claim_risk_matrix(query, limit)
Search claims and summarize MRS bands, trial phases, failure archetypes, and high-risk programs for rapid diligence.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Drug, target, disease, sponsor, or failure archetype."
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [
"query",
"limit"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}⚪claidex_health_snapshot
Return Sentinel metrics, coverage, graph counts, recent automation runs, MRS bands, and preprint-watch summaries.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}⚪claidex_research_prompt(objective, target_gene, disease, risk_tolerance)
Compose a rigorous, reusable investigation prompt that tells an MCP client which Claidex tools and resources to use.
입력 스키마
{
"type": "object",
"properties": {
"objective": {
"type": "string",
"minLength": 1,
"description": "The investigation objective to turn into a reusable MCP prompt."
},
"target_gene": {
"description": "Optional HGNC target symbol.",
"type": "string"
},
"disease": {
"description": "Optional disease area.",
"type": "string"
},
"risk_tolerance": {
"default": "medium",
"type": "string",
"enum": [
"low",
"medium",
"high"
]
}
},
"required": [
"objective",
"risk_tolerance"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}⚪claidex_tool_catalog(include_schemas, source)
Return the complete MCP tool catalog, optionally including full input schemas and filtering native versus agent-backed tools.
입력 스키마
{
"type": "object",
"properties": {
"include_schemas": {
"default": false,
"description": "Include full JSON Schemas in the catalog.",
"type": "boolean"
},
"source": {
"default": "all",
"type": "string",
"enum": [
"all",
"claidex-agent",
"mcp-native"
]
}
},
"required": [
"include_schemas",
"source"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}⚪consult_specialist_model(task_type, prompt, context)
Ask a specialist Gateway model for code, database/tool-calling, statistics, literature, preprint, or mechanistic synthesis support. Use for hard subproblems, second opinions, code generation/review, or complex synthesis.
입력 스키마
{
"type": "object",
"properties": {
"task_type": {
"type": "string",
"enum": [
"code",
"database",
"reasoning",
"statistics",
"research",
"literature",
"synthesis",
"preprint",
"general"
],
"description": "Specialist routing target."
},
"prompt": {
"type": "string",
"minLength": 1,
"maxLength": 6000,
"description": "Focused task for the specialist model."
},
"context": {
"description": "Relevant context, snippets, or data. Do not include secrets.",
"type": "string",
"maxLength": 10000
}
},
"required": [
"task_type",
"prompt"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢fetch(id)
Fetch a specific result returned by search. This compatibility tool supports OpenAI and ChatGPT remote MCP retrieval flows.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"description": "Result id returned by the search tool."
}
},
"required": [
"id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢fetch_research_url(url, max_chars)
Fetch a public HTTPS research URL, JSON API response, package metadata endpoint, documentation page, or dataset preview. Blocks private/internal hosts and truncates large responses.
입력 스키마
{
"type": "object",
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "Public HTTPS URL to fetch."
},
"max_chars": {
"default": 8000,
"type": "number",
"minimum": 500,
"maximum": 20000
}
},
"required": [
"url",
"max_chars"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟡get_claim_content(slug)
Retrieve the complete text content of a specific Claidex Claim by its slug. Use this when you need to read the full post-mortem analysis, including hypothesis, failure mechanism, and prevention analysis.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"description": "The Claidex claim slug, e.g. exicorilant-mcrpc-gr-bypass-fourth-failure"
}
},
"required": [
"slug"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢query_chembl(drug_name)
Look up a drug or compound in ChEMBL. Returns mechanism of action, primary target, ChEMBL ID, max development phase, molecular type, and synonyms.
입력 스키마
{
"type": "object",
"properties": {
"drug_name": {
"type": "string",
"minLength": 1,
"description": "Drug or compound name"
}
},
"required": [
"drug_name"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢query_clinicaltrials(query, status, phase, max_results)
Search ClinicalTrials.gov for clinical trials. Can search by drug name, condition, target, or NCT ID. Returns trial status, phase, sponsor, primary endpoints, and why_stopped if terminated.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Search term: drug name, condition, NCT ID, or target"
},
"status": {
"default": "any",
"type": "string",
"enum": [
"RECRUITING",
"ACTIVE_NOT_RECRUITING",
"TERMINATED",
"WITHDRAWN",
"COMPLETED",
"any"
]
},
"phase": {
"default": "any",
"type": "string",
"enum": [
"PHASE1",
"PHASE2",
"PHASE3",
"PHASE4",
"any"
]
},
"max_results": {
"default": 5,
"type": "number",
"minimum": 1,
"maximum": 10
}
},
"required": [
"query",
"status",
"phase",
"max_results"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢query_failure_graph(target_gene)
Query the Claidex failure graph for a specific gene target. Returns the Mechanism Risk Score (MRS), failure counts by phase and archetype, and all related claim slugs.
입력 스키마
{
"type": "object",
"properties": {
"target_gene": {
"type": "string",
"minLength": 1,
"description": "HGNC gene symbol, e.g. PIK3CA, KRAS, EGFR"
}
},
"required": [
"target_gene"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢query_openfda(drug_name, max_results)
Query the FDA FAERS database for adverse event signals for a drug. Returns top adverse event terms, serious case count, and death count.
입력 스키마
{
"type": "object",
"properties": {
"drug_name": {
"type": "string",
"minLength": 1,
"description": "Drug name as it appears in FAERS"
},
"max_results": {
"default": 10,
"type": "number",
"minimum": 1,
"maximum": 20
}
},
"required": [
"drug_name",
"max_results"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢query_opentargets(target_gene, disease_term)
Query Open Targets for target-disease association evidence. Returns genetic evidence score, clinical evidence, known drugs, tractability, and safety liabilities for a gene-disease pair.
입력 스키마
{
"type": "object",
"properties": {
"target_gene": {
"type": "string",
"minLength": 1,
"description": "HGNC gene symbol"
},
"disease_term": {
"type": "string",
"minLength": 1,
"description": "Disease name or EFO term"
}
},
"required": [
"target_gene",
"disease_term"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢query_package_registry(ecosystem, package_name)
Look up package metadata from npm or PyPI before recommending code, analysis packages, API clients, or dataset tooling.
입력 스키마
{
"type": "object",
"properties": {
"ecosystem": {
"type": "string",
"enum": [
"npm",
"pypi"
],
"description": "Package registry to query."
},
"package_name": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"description": "Package name."
}
},
"required": [
"ecosystem",
"package_name"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢rank_documents_by_embedding(query, documents, top_k)
Embed a query and candidate documents, then rank documents by cosine similarity. Use for semantic matching, retrieval checks, clustering triage, and lightweight RAG over user-provided passages.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"maxLength": 4000
},
"documents": {
"minItems": 1,
"maxItems": 30,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 8000
}
},
"top_k": {
"default": 10,
"type": "number",
"minimum": 1,
"maximum": 20
}
},
"required": [
"query",
"documents",
"top_k"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢rerank_documents(query, documents, top_n)
Rerank candidate documents/passages against a query using a dedicated reranking model. Use after retrieval/search when exact relevance ordering matters.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"maxLength": 4000
},
"documents": {
"minItems": 1,
"maxItems": 50,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 8000
}
},
"top_n": {
"default": 10,
"type": "number",
"minimum": 1,
"maximum": 20
}
},
"required": [
"query",
"documents",
"top_n"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}⚪run_computation(expression, variables)
Evaluate deterministic mathematical expressions with optional variables. Use for algebra, matrices, vectors, transformations, descriptive numerical checks, and reproducible calculations. Does not execute arbitrary JavaScript or install packages.
입력 스키마
{
"type": "object",
"properties": {
"expression": {
"type": "string",
"minLength": 1,
"maxLength": 4000,
"description": "MathJS expression, e.g. mean(values), std(values), multiply(A, b), inv(A)."
},
"variables": {
"default": {},
"description": "Variables available to the expression. Values must be numbers, strings, vectors, or matrices.",
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"anyOf": [
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "number"
}
},
{
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
}
}
]
}
}
},
"required": [
"expression",
"variables"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}⚪run_statistical_analysis(analysis_type, inputs, context)
Run a statistical analysis computation. Supports: Wilson confidence intervals, binomial proportions, phase transition success rates, power calculations, Bayesian posterior estimates, descriptive statistics, and two-proportion comparisons. Returns computed values, interpretation, and LaTeX formula.
입력 스키마
{
"type": "object",
"properties": {
"analysis_type": {
"type": "string",
"enum": [
"wilson_ci",
"phase_transition_rate",
"power_calculation",
"bayesian_posterior",
"descriptive_stats",
"failure_rate_comparison"
]
},
"inputs": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"anyOf": [
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "number"
}
}
]
},
"description": "Named input parameters. wilson_ci: {successes, n, confidence}. phase_transition_rate: {phase, indication, n_succeeded, n_total}. power_calculation: {n, effect_size, alpha}. bayesian_posterior: {prior_success_rate, n_observed, n_success, prior_strength?}. descriptive_stats: {values: number[]}. failure_rate_comparison: {a_success, a_n, b_success, b_n}."
},
"context": {
"description": "Optional context about what this analysis is for",
"type": "string"
}
},
"required": [
"analysis_type",
"inputs"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢search(query, limit)
Search Claidex failure claims and preprint flags. This compatibility tool returns citation-ready results for OpenAI and ChatGPT remote MCP flows.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Biomedical failure intelligence query."
},
"limit": {
"default": 8,
"type": "integer",
"minimum": 1,
"maximum": 10
}
},
"required": [
"query",
"limit"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟡search_claims(query, category, failure_archetype, limit)
Search the Claidex failure database for post-mortems matching a drug name, gene target, disease, failure archetype, or sponsor. Returns matching claims with title, slug, drug, target, disease, phase, failure archetype, Open Targets score, and MRS score.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Search term: drug name, gene symbol, disease, or failure archetype"
},
"category": {
"default": "any",
"type": "string",
"enum": [
"Oncology",
"Cardiology",
"Neurology",
"Immunology",
"Infectious Disease",
"Metabolic",
"Rare Disease",
"Other",
"any"
]
},
"failure_archetype": {
"default": "any",
"type": "string",
"enum": [
"efficacy_failure",
"safety_signal",
"enrollment_collapse",
"sponsor_decision",
"strategic_reprioritization",
"translational_mismatch",
"biomarker_failure",
"any"
]
},
"limit": {
"default": 10,
"type": "number",
"minimum": 1,
"maximum": 20
}
},
"required": [
"query",
"category",
"failure_archetype",
"limit"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢search_preprint_flags(query, severity)
Search the Claidex Preprint Watch database for bioRxiv preprints flagged as contradicting the clinical failure record. Search by target gene, disease, or preprint title.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Search term: gene symbol, disease, or preprint title fragment"
},
"severity": {
"default": "any",
"type": "string",
"enum": [
"STRONG",
"MODERATE",
"MILD",
"any"
]
}
},
"required": [
"query",
"severity"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢search_pubmed(query, max_results)
Search PubMed for biomedical literature. Returns title, authors, journal, year, DOI, abstract, and PMID for each result.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "PubMed search query"
},
"max_results": {
"default": 5,
"type": "number",
"minimum": 1,
"maximum": 10
}
},
"required": [
"query",
"max_results"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢web_search(query, focus)
Search the web for recent news, investor commentary, analyst notes, press releases, and conference coverage about drugs, clinical trials, or biomedical mechanisms.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"description": "Search query"
},
"focus": {
"default": "any",
"type": "string",
"enum": [
"news",
"academic",
"investor",
"any"
]
}
},
"required": [
"query",
"focus"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}커뮤니티
증거