`pharma_pipeline_scan`

Pack: pharma-intel · Endpoint: https://gateway.pipeworx.io/pharma-intel/mcp

Search clinical trials by condition (e.g., “lung cancer”) or sponsor (e.g., “Pfizer”). Returns trial phases, recruitment status, and approved treatments for that indication.

Parameters

Name	Type	Required	Description
`condition`	string	no	Disease or condition (e.g., “breast cancer”)
`sponsor`	string	no	Pharmaceutical company or sponsor name

Example call

Arguments

{
  "condition": "lung cancer"
}

curl

curl -X POST https://gateway.pipeworx.io/pharma-intel/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"pharma_pipeline_scan","arguments":{"condition":"lung cancer"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('pharma_pipeline_scan', {
  "condition": "lung cancer"
});

More examples

{
  "sponsor": "Pfizer"
}

{
  "condition": "breast cancer",
  "sponsor": "Moderna"
}

Response shape

Always returns: analysis

Field	Type	Description
`analysis`	string	Analysis type identifier
`sponsor`	string	Sponsor name when sponsor-focused search
`all_trials`	object \| null	All trials for sponsor
`recruiting_by_phase`	object
`recent_updates`	object \| null	Recent trial updates
`condition`	string	Condition name when condition-focused search
`total_trial_counts`	object \| null	Trial counts by condition
`recruiting_trials`	object \| null	Recruiting trials for condition
`approved_drugs`	object \| null	FDA approved drugs for condition

Full JSON Schema

{
  "type": "object",
  "properties": {
    "analysis": {
      "type": "string",
      "enum": [
        "pipeline_scan"
      ],
      "description": "Analysis type identifier"
    },
    "sponsor": {
      "type": "string",
      "description": "Sponsor name when sponsor-focused search"
    },
    "all_trials": {
      "type": [
        "object",
        "null"
      ],
      "description": "All trials for sponsor"
    },
    "recruiting_by_phase": {
      "type": "object",
      "properties": {
        "phase1": {
          "type": [
            "object",
            "null"
          ],
          "description": "Phase 1 recruiting trials"
        },
        "phase2": {
          "type": [
            "object",
            "null"
          ],
          "description": "Phase 2 recruiting trials"
        },
        "phase3": {
          "type": [
            "object",
            "null"
          ],
          "description": "Phase 3 recruiting trials"
        }
      }
    },
    "recent_updates": {
      "type": [
        "object",
        "null"
      ],
      "description": "Recent trial updates"
    },
    "condition": {
      "type": "string",
      "description": "Condition name when condition-focused search"
    },
    "total_trial_counts": {
      "type": [
        "object",
        "null"
      ],
      "description": "Trial counts by condition"
    },
    "recruiting_trials": {
      "type": [
        "object",
        "null"
      ],
      "description": "Recruiting trials for condition"
    },
    "approved_drugs": {
      "type": [
        "object",
        "null"
      ],
      "description": "FDA approved drugs for condition"
    }
  },
  "required": [
    "analysis"
  ]
}

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "pharma-intel": {
      "url": "https://gateway.pipeworx.io/pharma-intel/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

pharma_pipeline_scan