MIT DBLP MCP Server for Google ADKGive Google ADK instant access to 16 tools to Get Author, Get Author Publications, Get Author Stats, and more
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add MIT DBLP 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 MIT DBLP MCP Server for Google ADK is a standout in the Knowledge Management category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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="mit_dblp_agent",
instruction=(
"You help users interact with MIT DBLP "
"using 16 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 MIT DBLP MCP Server
Connect to the DBLP Computer Science Bibliography — the most comprehensive index of CS research, maintained by Schloss Dagstuhl.
Google ADK natively supports MIT DBLP as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 16 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
- Full-Text Search — Search 6M+ CS publications across all venues
- Author Profiles — Explore researcher profiles and publication histories
- Venue Browsing — Search conferences (NeurIPS, ICML, SIGMOD, OSDI) and journals (JACM, TOCS)
- Co-Author Networks — Discover collaboration patterns between researchers
- AI/ML Papers — Dedicated search for NeurIPS, ICML, ICLR, and AAAI papers
- Systems Papers — Dedicated search for OSDI, SOSP, SIGCOMM, NSDI papers
- Theory Papers — Dedicated search for STOC, FOCS, SODA papers
- Database Papers — Dedicated search for SIGMOD, VLDB, ICDE papers
- Author Statistics — Publication counts, venue distribution, and year-over-year trends
The MIT DBLP MCP Server exposes 16 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 16 MIT DBLP tools available for Google ADK
When Google ADK connects to MIT DBLP through Vinkius, your AI agent gets direct access to every tool listed below — spanning academic-research, bibliography, computer-science, 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.
Get author on MIT DBLP
The PID can be found in DBLP URLs (e.g. for "https://dblp.org/pid/b/YoshuaBengio" the PID is "b/YoshuaBengio"). Get author profile by DBLP PID
Get author publications on MIT DBLP
Returns up to 40 most recent publications with full metadata. Use the author name as it appears on DBLP. Get all publications by a specific author
Get author stats on MIT DBLP
Essential for evaluating research productivity and impact. Get publication statistics for an author
Get coauthors on MIT DBLP
Returns a ranked list of collaborators ordered by number of joint publications. Essential for understanding research collaboration patterns. Get co-author network of a researcher
Get publication on MIT DBLP
g. "journals/cacm/Knuth74", "conf/nips/VaswaniSPUJGKP17"). The key uniquely identifies every record in DBLP. Get publication details by DBLP key
Get venue on MIT DBLP
Use conference abbreviations (ICML, NeurIPS, SIGMOD) or full journal names. Get venue details (conference or journal)
Get venue publications on MIT DBLP
Essential for exploring what was published at a particular conference edition (e.g. NeurIPS 2024). Get papers published at a specific venue
Search ai papers on MIT DBLP
These are the premier conferences for artificial intelligence and machine learning research. Search AI and machine learning papers at top venues
Search authors on MIT DBLP
Returns author names, DBLP profile URLs, and disambiguation notes. DBLP meticulously disambiguates authors with the same name. Search computer science authors on DBLP
Search by year on MIT DBLP
Useful for tracking research trends over time or finding papers from a specific conference edition. Search publications filtered by year
Search database papers on MIT DBLP
Search database papers at top venues
Search in venue on MIT DBLP
Combine a venue name with an optional topic query to find relevant papers at a particular venue. Search for papers within a specific venue
Search publications on MIT DBLP
Covers all major conferences (NeurIPS, ICML, SIGMOD, VLDB, OSDI) and journals (JACM, TOCS, VLDBJ). Returns titles, authors, venues, years, DOIs, and DBLP keys. Search 6M+ computer science publications on DBLP
Search systems papers on MIT DBLP
Search systems papers at top venues
Search theory papers on MIT DBLP
Search theoretical CS papers at top venues
Search venues on MIT DBLP
Returns venue names, DBLP URLs, and types. Search CS conferences and journals
Connect MIT DBLP to Google ADK via MCP
Follow these steps to wire MIT DBLP into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the MIT DBLP MCP Server
Google ADK provides unique advantages when paired with MIT DBLP 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 MIT DBLP
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 MIT DBLP tools with BigQuery, Vertex AI, and Cloud Functions
MIT DBLP + Google ADK Use Cases
Practical scenarios where Google ADK combined with the MIT DBLP MCP Server delivers measurable value.
Enterprise data agents: ADK agents query MIT DBLP and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine MIT DBLP tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query MIT DBLP regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including MIT DBLP
Example Prompts for MIT DBLP in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with MIT DBLP immediately.
"Find recent AI papers on large language models at NeurIPS"
"Search for publications by Yoshua Bengio"
"Find the latest database systems papers from SIGMOD and VLDB"
Troubleshooting MIT DBLP MCP Server with Google ADK
Common issues when connecting MIT DBLP to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMIT DBLP + Google ADK FAQ
Common questions about integrating MIT DBLP 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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