# medicalResearch_mcp_server

> medicalResearch_mcp_server — ajaykathar30-medicalresearch-mcp-server. Use this tool when you need to accelerate biomedical research, discover clinical trials, or analyze drug safety by leveraging a unified interface to PubMed, ClinicalTrials.gov, openFDA, and ChEMBL databases. It solves problems related to trial discovery, drug-safety analysis, and innovation forecasting by providing accessible and callable tools for large language models. Ideal for researchers and innovators seeking to streamline their workflows and gain insights from authoritative biomedical sources.

Canonical page: https://skillsregistry.net/skills/ajaykathar30-medicalresearch-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ajaykathar30-medicalresearch-mcp-server

## Description

MCP server exposing PubMed, ClinicalTrials.gov, openFDA, and ChEMBL as LLM-callable tools for biomedical research, trial discovery, drug-safety analysis, and innovation forecasting.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ajaykathar30/medicalResearch_mcp_server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ajaykathar30-medicalresearch-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ajaykathar30-medicalresearch-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ajaykathar30-medicalresearch-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt