Convex MCP Server for Google ADKGive Google ADK instant access to 4 tools to Run Action, Run Function, Run Mutation, and more

Name: Convex
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Convex MCP Server for Google ADK is a standout in the Loved By Devs category — giving your AI agent 4 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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Gemini

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+ other MCP clients

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="convex_agent",
    instruction=(
        "You help users interact with Convex "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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 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.

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.

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.

The Convex MCP Server exposes 4 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 4 Convex tools available for Google ADK

When Google ADK connects to Convex through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-database, serverless-functions, typescript, 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.

run

Run action on Convex

Call a Convex action function

run

Run function on Convex

g., "messages/list" instead of "messages:list"). Call a Convex function by its URL identifier

run

Run mutation on Convex

Call a Convex mutation function

run

Run query on Convex

Use this for fetching data. Call a Convex query function

Connect Convex to Google ADK via MCP

Follow these steps to wire Convex into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Convex via MCP

Why Use Google ADK with the Convex MCP Server

Google ADK provides unique advantages when paired with Convex 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 Convex

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 Convex tools with BigQuery, Vertex AI, and Cloud Functions

Convex + Google ADK Use Cases

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

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

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

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

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

Example Prompts for Convex in Google ADK

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

"Run the Convex query 'messages:list' with no arguments."

"Call the mutation 'users:create' with the argument { "name": "Alice" }."

"Execute the function 'tasks/get_all' using run_function."

Troubleshooting Convex MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Convex + Google ADK FAQ

Common questions about integrating Convex 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.