# NCBI Literature Search MCP Server

> Use this tool when you need to search and analyze large volumes of scientific literature in the life sciences and biomedical fields. It solves problems of research discovery and analysis by providing access to over 35 million PubMed articles through natural language queries. The tool takes in natural language queries as input and outputs relevant article details and related research, making it ideal for researchers and scientists seeking to explore and retrieve specific scientific information.

Canonical page: https://skillsregistry.net/skills/vitorpavinato-ncbi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vitorpavinato-ncbi-mcp-server

## Description

Provides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mggndw84sg)
- **Repository:** <https://github.com/vitorpavinato/ncbi-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": "vitorpavinato-ncbi-mcp-server"
    }
  }
}
```

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