Bring Real Time Database
to Google ADK
Learn how to connect Convex to Google ADK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Convex MCP Server?
Connect your Convex deployment to any AI agent and manage your application's data and logic through natural conversation. This server allows you to interact with your real-time database and serverless functions without leaving your AI interface.
What you can do
- Data Fetching — Execute read-only queries to retrieve documents and state from your Convex tables.
- Transactional Updates — Run mutations to modify data with full ACID guarantees directly from the agent.
- Side Effects & APIs — Trigger Convex actions for external API calls, heavy computation, or non-transactional logic.
- Flexible Execution — Call functions using standard colon notation or URL-style identifiers for maximum compatibility.
How it works
- Subscribe to this server
- Enter your Convex Deployment URL (and optional Access Key)
- Start querying and mutating your data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Full-stack Developers — Debug data, run migrations, or check state directly from your IDE or chat.
- Product Managers — Query live application metrics and user data using natural language without writing code.
- Support Teams — Inspect and update user records or trigger administrative actions through a secure AI interface.
Built-in capabilities (4)
Call a Convex action function
g., "messages/list" instead of "messages:list"). Call a Convex function by its URL identifier
Call a Convex mutation function
Use this for fetching data. Call a Convex query function
Why Google ADK?
Google ADK natively supports Convex as an MCP tool provider. declare 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.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Convex
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Convex tools with BigQuery, Vertex AI, and Cloud Functions
Convex in Google ADK
Convex and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Convex to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Convex in Google ADK
The Convex 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Convex for Google ADK
Every tool call from Google ADK to the Convex MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What is the difference between run_query and run_mutation?
Use run_query for read-only operations that fetch data. Use run_mutation when you need to write, update, or delete data transactionally in your database.
Can I call external APIs using this server?
Yes, by using the run_action tool. Actions in Convex are designed for side effects like calling third-party APIs or performing long-running tasks.
How do I reference functions in subdirectories?
You can use run_query with colon notation (e.g., 'folder/file:function') or use run_function which accepts URL-style identifiers with slashes.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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