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PMC Open Access (PubMed Central) MCP Server for Google ADKGive Google ADK instant access to 8 tools to Convert Ids, Export Citation, Oa Discover, and more

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

Ask AI about this MCP Server for Google ADK

The PMC Open Access (PubMed Central) MCP Server for Google ADK is a standout in the Knowledge Management category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="pmc_open_access_pubmed_central_agent",
    instruction=(
        "You help users interact with PMC Open Access (PubMed Central) "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
PMC Open Access (PubMed Central)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About PMC Open Access (PubMed Central) MCP Server

Connect to the PubMed Central (PMC) Open Access Subset to empower your AI agent with direct access to millions of peer-reviewed biomedical research articles. This server provides comprehensive tools for literature discovery, metadata harvesting, and identifier management.

Google ADK natively supports PMC Open Access (PubMed Central) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

  • Metadata Harvesting — Use OAI-PMH protocols to list identifiers, metadata formats, and full records from the PMC repository.
  • Identifier Conversion — Seamlessly translate between PMCIDs, PMIDs, DOIs, and Manuscript IDs using the official PMC ID Converter.
  • Resource Discovery — Locate downloadable PDF, XML, and TGZ files for open-access articles to facilitate deep analysis.
  • Citation Export — Retrieve formatted citations for PubMed and PMC records to streamline academic writing and referencing.
  • Deep Record Inspection — Fetch specific article metadata or full-text records using unique OAI identifiers.

The PMC Open Access (PubMed Central) MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 PMC Open Access (PubMed Central) tools available for Google ADK

When Google ADK connects to PMC Open Access (PubMed Central) through Vinkius, your AI agent gets direct access to every tool listed below — spanning biomedical-research, open-access, metadata-harvesting, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

convert

Convert ids on PMC Open Access (PubMed Central)

Returns JSON. Convert between PMCIDs, PMIDs, DOIs, and Manuscript IDs

export

Export citation on PMC Open Access (PubMed Central)

Export formatted citations for PubMed and PMC articles

oa

Oa discover on PMC Open Access (PubMed Central)

) for PMC articles. Discover downloadable resources from the PMC Open Access Subset

oai

Oai get record on PMC Open Access (PubMed Central)

Get a specific OAI record from PMC

oai

Oai identify on PMC Open Access (PubMed Central)

Identify the PMC OAI-PMH repository

oai

Oai list identifiers on PMC Open Access (PubMed Central)

Use metadataPrefix (e.g., pmc, pmc_fm, oai_dc). List OAI identifiers for PMC articles

oai

Oai list metadata formats on PMC Open Access (PubMed Central)

Optionally filter by a specific identifier. List available metadata formats in PMC OAI-PMH

oai

Oai list records on PMC Open Access (PubMed Central)

List full OAI records for PMC articles

Connect PMC Open Access (PubMed Central) to Google ADK via MCP

Follow these steps to wire PMC Open Access (PubMed Central) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 8 tools from PMC Open Access (PubMed Central) via MCP

Why Use Google ADK with the PMC Open Access (PubMed Central) MCP Server

Google ADK provides unique advantages when paired with PMC Open Access (PubMed Central) through the Model Context Protocol.

01

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

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with PMC Open Access (PubMed Central)

03

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

04

Seamless integration with Google Cloud services means you can combine PMC Open Access (PubMed Central) tools with BigQuery, Vertex AI, and Cloud Functions

PMC Open Access (PubMed Central) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the PMC Open Access (PubMed Central) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query PMC Open Access (PubMed Central) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine PMC Open Access (PubMed Central) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query PMC Open Access (PubMed Central) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including PMC Open Access (PubMed Central)

Example Prompts for PMC Open Access (PubMed Central) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with PMC Open Access (PubMed Central) immediately.

01

"Convert the following PMIDs to PMCIDs: 34567890, 34567891."

02

"Find the PDF download link for PMCID PMC5334499."

03

"List the metadata formats supported by the PMC OAI-PMH repository."

Troubleshooting PMC Open Access (PubMed Central) MCP Server with Google ADK

Common issues when connecting PMC Open Access (PubMed Central) to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

PMC Open Access (PubMed Central) + Google ADK FAQ

Common questions about integrating PMC Open Access (PubMed Central) MCP Server with Google ADK.

01

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.
02

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.
03

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.

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