Server definition

Hash: sha256:9a44ce7e9ef5bcaaa8b593236e71ec840b5fbd129a0803516d796295d8bf73ac
What it is: What a remote MCP server returned when asked what it offers: 15 tools

The blob, as servednamed by its sha256

{
  "instructions": "Tools for the Cure Cancer With AI public API: free oncology data (research papers, news, blog, FDA approvals, clinical trials), a cross-dataset search, and IBM MAMMAL biomedical model predictions (protein–protein, drug–target, ClinTox). Authenticate by sending \"Authorization: Bearer ccw_live_YOUR_KEY\"; get a free key at https://www.curecancerwithai.com/api-keys.",
  "tools": [
    {
      "description": "Fetch a single blog post by slug, including the full article content.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "slug": {
            "description": "Blog post slug, e.g. \"immunotherapy-breakthroughs\".",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_blog_post",
      "outputSchema": null
    },
    {
      "description": "Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "nctId": {
            "description": "NCT id or internal id, e.g. \"NCT01234567\".",
            "type": "string"
          }
        },
        "required": [
          "nctId"
        ],
        "type": "object"
      },
      "name": "get_clinical_trial",
      "outputSchema": null
    },
    {
      "description": "Fetch a single research paper by its internal id or PubMed id.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "idOrPubmedId": {
            "description": "Internal id or PubMed id, e.g. \"38123456\".",
            "type": "string"
          }
        },
        "required": [
          "idOrPubmedId"
        ],
        "type": "object"
      },
      "name": "get_research_paper",
      "outputSchema": null
    },
    {
      "description": "List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "cancerType": {
            "description": "Filter by cancer-type tag.",
            "type": "string"
          },
          "category": {
            "description": "Filter by primary category.",
            "type": "string"
          },
          "limit": {
            "description": "Results per page (1–100, default 20).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "description": "Number of results to skip (default 0).",
            "minimum": 0,
            "type": "integer"
          },
          "search": {
            "description": "Keyword search across title, excerpt, and content.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_blog_posts",
      "outputSchema": null
    },
    {
      "description": "List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "condition": {
            "description": "Filter by condition.",
            "type": "string"
          },
          "limit": {
            "description": "Results per page (1–100, default 20).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "description": "Number of results to skip (default 0).",
            "minimum": 0,
            "type": "integer"
          },
          "search": {
            "description": "Keyword search across title and description.",
            "type": "string"
          },
          "status": {
            "description": "Filter by trial status, e.g. RECRUITING.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_clinical_trials",
      "outputSchema": null
    },
    {
      "description": "List the pharmaceutical-compound characteristics (each scored on the −4…+4 scale) that can be used as preference keys in search_compounds.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "list_compound_characteristics",
      "outputSchema": null
    },
    {
      "description": "List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "cancerType": {
            "description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.",
            "type": "string"
          },
          "from": {
            "description": "ISO date lower bound (e.g. 2024-01-01).",
            "type": "string"
          },
          "limit": {
            "description": "Results per page (1–100, default 20).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "description": "Number of results to skip (default 0).",
            "minimum": 0,
            "type": "integer"
          },
          "search": {
            "description": "Keyword search across drug name, generic name, and indication.",
            "type": "string"
          },
          "to": {
            "description": "ISO date upper bound (e.g. 2024-12-31).",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_fda_approvals",
      "outputSchema": null
    },
    {
      "description": "List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "cancerType": {
            "description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.",
            "type": "string"
          },
          "from": {
            "description": "ISO date lower bound (e.g. 2024-01-01).",
            "type": "string"
          },
          "limit": {
            "description": "Results per page (1–100, default 20).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "description": "Number of results to skip (default 0).",
            "minimum": 0,
            "type": "integer"
          },
          "search": {
            "description": "Keyword search across title, summary, and content.",
            "type": "string"
          },
          "to": {
            "description": "ISO date upper bound (e.g. 2024-12-31).",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_news",
      "outputSchema": null
    },
    {
      "description": "List peer-reviewed oncology research papers ingested from PubMed (abstracts, authors, journal, plain-language summaries). Filter by cancer type, treatment type, keyword, or publication date.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "cancerType": {
            "description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.",
            "type": "string"
          },
          "from": {
            "description": "ISO date lower bound (e.g. 2024-01-01).",
            "type": "string"
          },
          "limit": {
            "description": "Results per page (1–100, default 20).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "description": "Number of results to skip (default 0).",
            "minimum": 0,
            "type": "integer"
          },
          "search": {
            "description": "Keyword search across title and abstract.",
            "type": "string"
          },
          "to": {
            "description": "ISO date upper bound (e.g. 2024-12-31).",
            "type": "string"
          },
          "treatmentType": {
            "description": "Filter by treatment type.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_research",
      "outputSchema": null
    },
    {
      "description": "Check whether the IBM MAMMAL prediction model is loaded and ready. No API key required. Call this before predict_* tools if a prior prediction timed out.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "mammal_health",
      "outputSchema": null
    },
    {
      "description": "Predict clinical-trial toxicity for a compound using IBM MAMMAL. Returns pred 1 (toxic / likely to fail trials) or 0 (not toxic) plus a raw score. Inference is CPU-bound and may take up to ~60s.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "smiles": {
            "description": "Compound structure in SMILES notation.",
            "type": "string"
          }
        },
        "required": [
          "smiles"
        ],
        "type": "object"
      },
      "name": "predict_clintox",
      "outputSchema": null
    },
    {
      "description": "Predict drug–target binding affinity as pKd (−log10 Kd; higher = stronger binding) using IBM MAMMAL. Inference is CPU-bound and may take up to ~60s.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "drug_seq": {
            "description": "Drug structure in SMILES notation.",
            "type": "string"
          },
          "norm_y_mean": {
            "description": "Optional normalization mean override.",
            "type": "number"
          },
          "norm_y_std": {
            "description": "Optional normalization standard-deviation override.",
            "type": "number"
          },
          "target_seq": {
            "description": "Target protein amino-acid sequence (single-letter codes).",
            "type": "string"
          }
        },
        "required": [
          "target_seq",
          "drug_seq"
        ],
        "type": "object"
      },
      "name": "predict_dti",
      "outputSchema": null
    },
    {
      "description": "Predict the binding-affinity class for a pair of proteins using the IBM MAMMAL biomedical foundation model. Returns label \"1\" (interacting) or \"0\" (non-interacting). Inference is CPU-bound and may take up to ~60s.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "protein_a": {
            "description": "Amino-acid sequence, single-letter codes (ACDEFGHIKLMNPQRSTVWY), no FASTA header.",
            "type": "string"
          },
          "protein_b": {
            "description": "Amino-acid sequence, single-letter codes.",
            "type": "string"
          }
        },
        "required": [
          "protein_a",
          "protein_b"
        ],
        "type": "object"
      },
      "name": "predict_ppi",
      "outputSchema": null
    },
    {
      "description": "Find pharmaceutical compounds two ways: by example drugs you already know (fuzzy-matched), or by setting target characteristics on a −4…+4 scale. Provide exactly one of `examples` or `preferences`. Use list_compound_characteristics for the available preference names.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "examples": {
            "description": "Known drug names to find similar compounds for, e.g. [\"aspirin\",\"ibuprofen\"]. Mutually exclusive with preferences.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "include_characteristics": {
            "description": "Include each result’s characteristic scores in the response.",
            "type": "boolean"
          },
          "limit": {
            "description": "Max results (1–100, default 20).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "preferences": {
            "additionalProperties": {
              "maximum": 4,
              "minimum": -4,
              "type": "number"
            },
            "description": "Map of characteristic name to desired value on the −4…+4 scale, e.g. {\"Neuroactive\":3,\"Immunoactive\":-2}. Omit a characteristic to ignore it. Mutually exclusive with examples.",
            "type": "object"
          }
        },
        "type": "object"
      },
      "name": "search_compounds",
      "outputSchema": null
    },
    {
      "description": "Search a keyword across every Cure Cancer With AI dataset at once — research papers, news, blog posts, FDA approvals, and clinical trials — with results grouped by type. Use this first for broad discovery, then fetch a single record by id/slug/nctId for full detail.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "cancerType": {
            "description": "Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.",
            "type": "string"
          },
          "limit": {
            "description": "Max results per dataset (1–100, default 5).",
            "maximum": 100,
            "minimum": 1,
            "type": "integer"
          },
          "q": {
            "description": "The keyword to search for, e.g. \"osimertinib\".",
            "type": "string"
          },
          "types": {
            "description": "Optional comma-separated datasets to narrow to: research,news,blog,fdaApprovals,clinicalTrials.",
            "type": "string"
          }
        },
        "required": [
          "q"
        ],
        "type": "object"
      },
      "name": "search_oncology",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:9a44ce7e9ef5bcaaa8b593236e71ec840b5fbd129a0803516d796295d8bf73ac | sha256sum