Server definition

Hash: sha256:7642cb57447c070c94dfcc0c3f6b1f41b905091bef9a90149f754429f0538dfb
What it is: What a remote MCP server returned when asked what it offers: 24 tools

The blob, as servednamed by its sha256

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

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:7642cb57447c070c94dfcc0c3f6b1f41b905091bef9a90149f754429f0538dfb | sha256sum