Semantic Scholar MCP Server for Google ADK 4 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Semantic Scholar as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
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Vinkius supports streamable HTTP and SSE.
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="semantic_scholar_agent",
instruction=(
"You help users interact with Semantic Scholar "
"using 4 available tools."
),
tools=[mcp_tools],
)
* 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 Semantic Scholar MCP Server
Connect your AI agent to the world's most AI-enhanced academic knowledge graph, built and maintained by the Allen Institute for AI (AI2).
Google ADK natively supports Semantic Scholar as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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
- AI-Powered Search — Find papers across 200M+ works with AI-generated TLDR summaries that distill each paper into a single sentence of key insight
- Influential Citations — Beyond simple citation count, see how many influential citations a paper has received — those that meaningfully build upon the cited work
- Multi-Format Lookup — Access papers by Semantic Scholar ID, DOI, ArXiv ID (arXiv:2106.09685), or PubMed ID (PMID:12345)
- Citation Graph — Explore the full citation chain of any paper, with TLDR summaries for each citing work
- Researcher Profiles — Find academics by name with paper counts, total citations, and h-index metrics
The Semantic Scholar MCP Server exposes 4 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 Semantic Scholar to Google ADK via MCP
Follow these steps to integrate the Semantic Scholar 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 4 tools from Semantic Scholar via MCP
Why Use Google ADK with the Semantic Scholar MCP Server
Google ADK provides unique advantages when paired with Semantic Scholar 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 Semantic Scholar
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 Semantic Scholar tools with BigQuery, Vertex AI, and Cloud Functions
Semantic Scholar + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Semantic Scholar MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Semantic Scholar and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Semantic Scholar tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Semantic Scholar regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Semantic Scholar
Semantic Scholar MCP Tools for Google ADK (4)
These 4 tools become available when you connect Semantic Scholar to Google ADK via MCP:
get_semantic_citations
Essential for literature reviews and impact analysis. Find papers that cite a specific work on Semantic Scholar
get_semantic_paper
Accepts Semantic Scholar paper ID, DOI, ArXiv ID (e.g. arXiv:2106.09685), or PMID (e.g. PMID:12345). Get full paper details from Semantic Scholar by paper ID or DOI
search_semantic_author
Returns paper count, total citations, and h-index for each researcher. Find researchers and their publication metrics on Semantic Scholar
search_semantic_scholar
Returns papers with AI-generated TLDR summaries, citation counts, influential citation counts, and fields of study. Covers Computer Science, Medicine, Biology, Physics, and all STEM fields. Search 200M+ academic papers with AI-powered TLDR summaries and influence scores
Example Prompts for Semantic Scholar in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Semantic Scholar immediately.
"What are the most cited papers on transformer architecture in deep learning?"
"Get the full details of the LoRA paper using its ArXiv ID arXiv:2106.09685."
"Find the researcher Yann LeCun and show me his publication metrics."
Troubleshooting Semantic Scholar MCP Server with Google ADK
Common issues when connecting Semantic Scholar to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSemantic Scholar + Google ADK FAQ
Common questions about integrating Semantic Scholar MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Semantic Scholar to Google ADK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.