Jestor MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Jestor 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
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="jestor_agent",
instruction=(
"You help users interact with Jestor "
"using 10 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 Jestor MCP Server
Empower your AI agents with Jestor's low-code internal tools platform. This MCP server allows you to list objects (tables), retrieve and list records, manage users, and monitor workflows and dashboards directly through the Jestor API. Ideal for automating internal operations and database management.
Google ADK natively supports Jestor as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
The Jestor MCP Server exposes 10 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 Jestor to Google ADK via MCP
Follow these steps to integrate the Jestor 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 10 tools from Jestor via MCP
Why Use Google ADK with the Jestor MCP Server
Google ADK provides unique advantages when paired with Jestor 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 Jestor
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 Jestor tools with BigQuery, Vertex AI, and Cloud Functions
Jestor + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Jestor MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Jestor and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Jestor tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Jestor regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Jestor
Jestor MCP Tools for Google ADK (10)
These 10 tools become available when you connect Jestor to Google ADK via MCP:
get_me
Use this to verify connection status and current permissions. Gets current authenticated user info
get_object
Useful for understanding field types and relationships within a specific table. Retrieves details/schema for a specific object
get_record
Essential for deep-diving into a specific entry in the database. Retrieves details for a specific record
list_apps
Useful for discovering high-level toolsets available to the user. Lists all installed internal apps
list_dashboards
Use this to identify where aggregated data visualizations are located. Lists all configured dashboards
list_objects
Returns object names and labels. Use this to discover available datasets before querying specific records. Lists all objects (tables) in your Jestor account
list_records
This is the primary tool for browsing data within a table (e.g., listing all "Tasks" or "Clients"). Lists records for a specific object
list_users
Returns names, emails, and IDs. Useful for identifying record owners or system administrators. Lists all users in the organization
list_webhooks
Use this to audit third-party integrations. Lists all configured webhooks
list_workflows
Useful for auditing system logic and event-driven actions. Lists all automated workflows
Example Prompts for Jestor in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Jestor immediately.
"List all objects in my Jestor account."
"Show me the records for the 'Invoices' object."
"Check the status of my workflows."
Troubleshooting Jestor MCP Server with Google ADK
Common issues when connecting Jestor to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkJestor + Google ADK FAQ
Common questions about integrating Jestor 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?
Connect Jestor with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jestor to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.