JSON Path Query Engine MCP Server for Google ADKGive Google ADK instant access to 1 tools to Query Json
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add JSON Path Query Engine 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 JSON Path Query Engine MCP Server for Google ADK is a standout in the Loved By Devs category — giving your AI agent 1 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="json_path_query_engine_agent",
instruction=(
"You help users interact with JSON Path Query Engine "
"using 1 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 JSON Path Query Engine MCP Server
Surgically extract fields from complex API responses using JSONPath Plus (8M+ weekly downloads). Saves tokens and prevents hallucination.
Google ADK natively supports JSON Path Query Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
The Superpowers
- Surgical Extraction: Full JSONPath syntax (
$.orders[0].total_price,$..email). - Token Efficient: Extract only the 3 fields you need from a 5,000-token payload.
The JSON Path Query Engine MCP Server exposes 1 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 1 JSON Path Query Engine tools available for Google ADK
When Google ADK connects to JSON Path Query Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning json-query, data-extraction, api-parsing, 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.
Query json on JSON Path Query Engine
Pass the raw JSON string and a JSONPath expression like "$.orders[0].total_price" or "$.users[*].email". Returns all matching values. Queries and extracts specific values from massive JSON payloads using JSONPath expressions. Eliminates the need to send entire API responses to the LLM context window
Connect JSON Path Query Engine to Google ADK via MCP
Follow these steps to wire JSON Path Query Engine 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 JSON Path Query Engine MCP Server
Google ADK provides unique advantages when paired with JSON Path Query Engine 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 JSON Path Query Engine
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 JSON Path Query Engine tools with BigQuery, Vertex AI, and Cloud Functions
JSON Path Query Engine + Google ADK Use Cases
Practical scenarios where Google ADK combined with the JSON Path Query Engine MCP Server delivers measurable value.
Enterprise data agents: ADK agents query JSON Path Query Engine and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine JSON Path Query Engine tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query JSON Path Query Engine regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including JSON Path Query Engine
Example Prompts for JSON Path Query Engine in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with JSON Path Query Engine immediately.
"Extract all author names from this bookstore JSON."
Troubleshooting JSON Path Query Engine MCP Server with Google ADK
Common issues when connecting JSON Path Query Engine to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkJSON Path Query Engine + Google ADK FAQ
Common questions about integrating JSON Path Query Engine 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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