MonkeyLearn 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 MonkeyLearn 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="monkeylearn_agent",
instruction=(
"You help users interact with MonkeyLearn "
"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 MonkeyLearn MCP Server
Connect your MonkeyLearn account to your AI agent and leverage powerful NLP models for text analysis and data extraction through natural conversation.
Google ADK natively supports MonkeyLearn 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.
What you can do
- Text Classification — Use pre-trained or custom classifiers for sentiment analysis, topic detection, and intent classification.
- Data Extraction — Automatically pull keywords, entities, and specific data points from raw text strings.
- Model Discovery — List and inspect all classifiers, extractors, and pipelines available in your account.
- Workflow Tracking — Monitor your automated workflows and processing activity in real-time.
- Tag Hierarchy — Access the tag trees used by your models to understand classification structures.
- Deep Inspection — Fetch detailed configuration and metadata for specific models using their unique IDs.
The MonkeyLearn 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 MonkeyLearn to Google ADK via MCP
Follow these steps to integrate the MonkeyLearn 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 MonkeyLearn via MCP
Why Use Google ADK with the MonkeyLearn MCP Server
Google ADK provides unique advantages when paired with MonkeyLearn 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 MonkeyLearn
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 MonkeyLearn tools with BigQuery, Vertex AI, and Cloud Functions
MonkeyLearn + Google ADK Use Cases
Practical scenarios where Google ADK combined with the MonkeyLearn MCP Server delivers measurable value.
Enterprise data agents: ADK agents query MonkeyLearn and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine MonkeyLearn tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query MonkeyLearn regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including MonkeyLearn
MonkeyLearn MCP Tools for Google ADK (10)
These 10 tools become available when you connect MonkeyLearn to Google ADK via MCP:
classify_text
Classify text using a model
extract_text
Extract data from text
get_classifier_details
Get classifier metadata
get_extractor_details
Get extractor metadata
list_activity
List account activity
list_classifiers
g., sentiment analysis, topic detection) available in your account. List available classifiers
list_extractors
g., keyword extraction, entity recognition) available in your account. List available extractors
list_pipelines
List MonkeyLearn pipelines
list_tag_trees
List available tag trees
list_workflows
List automated workflows
Example Prompts for MonkeyLearn in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with MonkeyLearn immediately.
"Classify the sentiment of this review: 'The product exceeded all my expectations, truly amazing!' using model cl_oZ9GRg8P."
"List all classifiers available in my account."
"Show me my recent processing activity."
Troubleshooting MonkeyLearn MCP Server with Google ADK
Common issues when connecting MonkeyLearn to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMonkeyLearn + Google ADK FAQ
Common questions about integrating MonkeyLearn 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 MonkeyLearn 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 MonkeyLearn to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.