Do I need an API key or any registration to use PubMed?

No. PubMed E-utilities are freely accessible to everyone without registration. An optional API key (available at ncbi.nlm.nih.gov) increases your rate limit from 3 to 10 requests per second, but is not required for standard usage.

What types of searches are supported and how can I refine my results?

You can search by keyword, disease name, gene symbol, drug name, author surname, or journal title. Boolean operators (AND, OR, NOT) and field tags like [Title], [Author], and [MeSH Terms] work natively. Example: 'CRISPR AND cancer NOT review' targets original research on CRISPR in oncology.

Can I access full-text articles through this server?

This server returns complete abstracts and metadata for all indexed articles. Full-text access depends on publisher open access policies — articles from PubMed Central (PMC) are freely available. The DOI link provided with each result allows direct navigation to the publisher's page.

PubMed MCP Server for Google ADK 3 tools — connect in under 2 minutes

Name: PubMed
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add PubMed as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="pubmed_agent",
    instruction=(
        "You help users interact with PubMed "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)

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About PubMed MCP Server

Connect your AI agent to the National Library of Medicine's PubMed database — the undisputed gold standard for biomedical and life sciences literature worldwide.

Google ADK natively supports PubMed as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Literature Search — Find research articles by keyword, disease name, gene symbol, drug, or any biomedical topic across 37M+ indexed articles using powerful boolean operators (AND, OR, NOT)
Full Article Details — Retrieve comprehensive metadata including complete abstracts, all contributing authors, publishing journal, DOI, publication types, and MeSH descriptors for any article by PMID
Citation Tracking — Discover which subsequent papers cite a specific article to trace the impact chain and follow the evolution of a research topic over time

The PubMed MCP Server exposes 3 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect PubMed to Google ADK via MCP

Follow these steps to integrate the PubMed MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 3 tools from PubMed via MCP

Why Use Google ADK with the PubMed MCP Server

Google ADK provides unique advantages when paired with PubMed through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with PubMed

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine PubMed tools with BigQuery, Vertex AI, and Cloud Functions

PubMed + Google ADK Use Cases

Practical scenarios where Google ADK combined with the PubMed MCP Server delivers measurable value.

Enterprise data agents: ADK agents query PubMed and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine PubMed tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query PubMed regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including PubMed

PubMed MCP Tools for Google ADK (3)

These 3 tools become available when you connect PubMed to Google ADK via MCP:

get_pubmed_article

Get full details of a PubMed article by its PMID

get_pubmed_citations

Useful for tracing the impact of a paper and finding follow-up research. Find articles that cite a specific PubMed paper

search_pubmed

Returns titles, authors, journals, abstracts, DOIs, and MeSH terms. Supports boolean operators: AND, OR, NOT. Search PubMed for biomedical and life sciences research articles

Example Prompts for PubMed in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with PubMed immediately.

"Find recent research on CRISPR gene therapy for sickle cell disease."

"Get complete details for PubMed article PMID 33782455."

"Which papers cite the original CRISPR-Cas9 paper? Show me the top citing articles."

Troubleshooting PubMed MCP Server with Google ADK

Common issues when connecting PubMed to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

PubMed + Google ADK FAQ

Common questions about integrating PubMed MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.