Drug Pipeline Mcp

💊 drug-pipeline-mcp

[](https://github.com/DasClown/drug-pipeline-mcp/actions/workflows/ci.yml) [](https://github.com/DasClown/drug-pipeline-mcp/actions/workflows/ci.yml) [](https://ghcr.io/dasclown/drug-pipeline-mcp) [](https://smithery.ai/servers/crop-mcp/drug-pipeline) [](https://www.python.org/downloads/) [](LICENSE) [](https://pypi.org/project/drug-pipeline-mcp/) [](https://github.com/DasClown/drug-pipeline-mcp/stargazers)

Pharmaceutical R&D Pipeline Intelligence for AI Agents — a lightweight MCP server that aggregates clinical trial data, FDA/EMA approvals, safety surveillance (FAERS), drug labels, patents, drug interactions, recalls, and publications through a unified API. Every output includes a verifiable source identifier (NCT ID, FDA Application Number, or PMID).

Not a replacement for IQVIA/EvaluatePharma. A real-time, publicly accessible intelligence layer that complements subscription databases.

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Quick Start

pip install git+https://github.com/DasClown/drug-pipeline-mcp.git

# Start MCP server (stdio)
drug-pipeline

# Or HTTP mode for remote access
pip install drug-pipeline-mcp[http]
drug-pipeline --http --port 8081

Or deploy via Smithery — one click, no config.

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Tools (28)

| Tool | What it does | Data Source | |------|-------------|-------------| | search_trials | Search clinical trials by condition, phase, status, sponsor | ClinicalTrials.gov | | get_trial_detail | Full protocol for a specific NCT (eligibility, outcomes, locations) | ClinicalTrials.gov | | get_trial_results | Trial outcomes — endpoints, adverse events, participant flow | ClinicalTrials.gov | | get_trial_sites | Trial site locations — facilities, countries, geo distribution | ClinicalTrials.gov | | lookup_drug | Drug info: active ingredients, strength, ATC classification, NDC | openFDA + RxNorm | | get_approvals | FDA approval history with submission dates and status | openFDA Drugs@FDA | | get_eu_approvals | EU/EMA authorization — brand names, ATC, status, orphan/biosimilar flags | EMA Daily XLSX | | get_safety_data | FAERS adverse event reports — top reactions, serious outcomes, total count | openFDA FAERS | | detect_safety_signals | Disproportionality screening (exploratory) — AE reporting ratios | openFDA FAERS | | get_drug_label | FDA prescribing info — indications, boxed warnings, contraindications, dosing | openFDA Drug Labeling | | get_dailymed_label | NIH drug label (OTC + Rx) — SPL set ID, version, DailyMed URL | DailyMed (NIH/NLM) | | get_recalls | FDA drug recalls — Class I/II/III, reasons, dates, firms | openFDA Enforcement | | get_patent_expiry | Patent & exclusivity — approval dates, market exclusivity estimates | openFDA | | get_drug_interactions | Drug-drug interactions — FDA label + FAERS co-reported drugs | openFDA Labeling + FAERS | | get_drug_pricing | US drug product ID — NDC codes, manufacturers, strength, form | openFDA NDC Directory | | get_opentargets_drug | Drug-target MOA — mechanisms, targets, clinical stage, drug type | Open Targets (EMBL-EBI) | | get_us_orphan_designations | US FDA Orphan Drug Designations — indication, status, exclusivity | MyChem.info | | approved_for_condition | Find drugs by indication — which are EU-approved for a condition | EMA Daily XLSX | | list_orphan_drugs | EU orphan drug designations — filter by therapeutic area | EMA Daily XLSX | | list_biosimilars | EU biosimilars — filter by condition / therapeutic area | EMA Daily XLSX | | list_loss_of_exclusivity | LOE timing — biosimilar competition by active substance | EMA + FDA | | company_pipeline | Company R&D — trials grouped by phase + EU approval enrichment | ClinicalTrials.gov + EMA | | search_publications | PubMed search for drug/trial publications | PubMed / NCBI | | find_investigators | KOL / PI search — investigators by condition or drug | ClinicalTrials.gov + PubMed | | detect_combination_therapies | Combination therapy detection — co-administered drugs in trials | ClinicalTrials.gov | | compare_drugs | Head-to-head — FDA, EU, MOA, safety, patent across 2 drugs | Composite | | drug_pipeline | Composite — drug info + FDA + EU + safety + label + signals + recalls + interactions + trials + pubs + patent | All sources | | pipeline_landscape | Full pipeline for a condition — approved + Phase 3/2/1 + mechanisms + sponsors + pubs | Composite |

> ⚠️ detect_safety_signals: Exploratory disproportionality screening — uses an approximate denominator, not a validated PRR. Not for regulatory or clinical use. See methodology note in code.

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Architecture

drug-pipeline-mcp/
├── drug_pipeline/
│   ├── __init__.py        # Version
│   ├── server.py          # MCP server (28 tools)
│   └── sources.py         # Data source fetchers (API aggregation layer)
├── drug_pipeline_cli.py   # CLI entry point
├── tests/                 # 61 unit tests (pytest)
├── pyproject.toml
└── README.md

Design philosophy: Lightweight API aggregation. No caching layer. No ML models. No predictions. Each tool makes real-time requests to a public API and returns structured data with source identifiers. The server is intentionally simple — it extracts, structures, and annotates, nothing more.

Limitations by design:

• Rate limits apply per source (openFDA: 10 req/sec, ClinicalTrials.gov: generous)
• EMA data sourced from a daily-updated XLSX register — format changes monitored manually
• FAERS data is spontaneous reporting, not incidence rates
• The server does not interpret, predict, or synthesize beyond what the sources provide

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Data Sources

| Source | Data | Access | |--------|------|--------| | ClinicalTrials.gov | 500K+ studies, phases, status, eligibility, results, site locations | ✅ Always free | | openFDA NDC Directory | Drug product ID, NDC codes, manufacturers | ✅ Always free | | openFDA FAERS | Adverse event reports, reactions, serious outcomes | ✅ Always free | | openFDA Drug Labeling | Prescribing info, interactions, contraindications | ✅ Always free | | openFDA Drugs@FDA | Approval history, submissions, orphan designations | ✅ Always free | | openFDA Enforcement | Recalls, market withdrawals, safety alerts | ✅ Always free | | RxNorm / RxNav | Drug identifiers, RxCUI, ATC classification | ✅ Always free | | PubMed / NCBI | Scientific publications, abstracts, PMIDs | ✅ Always free | | EMA Medicines Register | EU authorization status, ATC, orphan/biosimilar flags | ✅ Always free | | Open Targets (EMBL-EBI) | Drug-target mechanisms of action, clinical development stage | ✅ Always free | | DailyMed (NIH/NLM) | Drug labels (OTC + Rx), structured product labeling | ✅ Always free | | MyChem.info | US FDA Orphan Drug Designations | ✅ Always free |

All sources are publicly funded and freely accessible. No API keys, subscriptions, or licensing required.

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Verifiable Outputs

Every data point includes a direct link to its primary source:

| Output Field | Example Source URL | |-------------|-------------------| | NCT ID | https://clinicaltrials.gov/study/NCT03178617 | | FDA Application Number | https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm?event=overview.process&ApplNo=NDA125456 | | PMID | https://pubmed.ncbi.nlm.nih.gov/37272535/ | | FDA Product NDC | https://www.accessdata.fda.gov/scripts/cder/ndc/ | | DailyMed SPL Set ID | https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=xxx |

No calculated fields. No predictions. No estimates. The tool is an aggregator, not an oracle — it brings primary-source data into an AI agent's context so the LLM can apply reasoning, not so the server can produce answers.

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Testing & Quality

| Check | Status | |-------|--------| | Unit tests | ✅ 61 passing (pytest) | | CI/CD | ✅ Multi-Python matrix (3.10–3.13), Docker build, PyPI publish | | Linting | ✅ Ruff (zero warnings) | | Formatting | ✅ Black-compatible | | Code coverage | Tracked in CI |

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Regulatory Intelligence

Beyond drug-level approvals, this project provides multi-jurisdiction regulatory framework intelligence for pipeline analysis. See [docs/local-regulation-2026.md](docs/local-regulation-2026.md) for a comprehensive reference covering 7 jurisdictions:

• 🇺🇸 US IRA — Medicare Part D price negotiation (Sep 2026), Small Molecule Penalty (7 yr vs 13 yr)
• 🇩🇪 Germany AMNOG — Benefit assessment, 2026 reform with fixed effect-size thresholds
• 🇫🇷 France HAS/CEPS — SMR/ASMR ratings, 400–600 day access timelines
• 🇮🇹 Italy AIFA — 21 regional formularies, payback mechanisms
• 🇬🇧 UK MHRA/NICE — Post-Brexit ILAP pathway, £/QALY thresholds
• 🇯🇵 Japan PMDA/NHI — Sakigake designation, biennial price revision
• 🇨🇳 China NMPA/NRDL — Annual –61% price negotiation

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Example Agent Queries

> "What's in the pipeline for GLP-1 agonists?" → drug_pipeline(drug_name="semaglutide") → ATC class, FDA status, clinical trials, publications

> "Which companies have Phase 3 trials for non-small cell lung cancer?" → search_trials(condition="non-small cell lung cancer", phase="PHASE3", status="RECRUITING")

> "Is pembrolizumab approved in the EU vs US?" → get_approvals(drug_name="Keytruda") + get_eu_approvals(drug_name="Keytruda")

> "What are the safety signals for semaglutide?" → get_safety_data(drug_name="semaglutide") + detect_safety_signals(drug_name="semaglutide")

> "What does the label say for Keytruda?" → get_drug_label(drug_name="Keytruda") → indications, boxed warnings, contraindications, dosing

> "When does the patent for Keytruda expire?" → get_patent_expiry(drug_name="Keytruda") → exclusivity information

> "What drugs are approved for non-small cell lung cancer in the EU?" → approved_for_condition(condition="non-small cell lung cancer")

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Client Integration

Claude Desktop

{
  "mcpServers": {
    "drug-pipeline": {
      "command": "python3",
      "args": ["-m", "drug_pipeline.server"]
    }
  }
}

Cursor / VS Code

{
  "mcpServers": {
    "drug-pipeline": {
      "command": "uvx",
      "args": ["drug-pipeline-mcp"]
    }
  }
}

HTTP / SSE (Remote)

pip install drug-pipeline-mcp[http]
drug-pipeline --http --port 8081

Connect at http://your-server:8081/sse.

Smithery

One-click deploy. No config needed.

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🤝 Getting Help & Contributing

| Channel | Purpose | |---------|---------| | 💬 GitHub Discussions | Questions before coding, feature ideas, community chat | | 🐛 GitHub Issues | Bug reports, confirmed feature requests | | [📖 CONTRIBUTING.md](CONTRIBUTING.md) | Development setup, code style, testing |

New contributors welcome. See [CONTRIBUTING.md](CONTRIBUTING.md) for setup instructions.

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License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: DasClown
• Source: DasClown/drug-pipeline-mcp
• License: MIT
• Homepage: https://crop-mcp.nousresearch.com

Install and usage instructions live in the source repository linked above.