Strapi MCP Server for Google ADK 9 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Strapi as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
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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="strapi_agent",
instruction=(
"You help users interact with Strapi "
"using 9 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 Strapi MCP Server
Integrate the robust headless architecture of Strapi seamlessly into your conversational LLM workflows. By linking your AI securely to the Strapi REST ecosystem, engineering and content teams can effortlessly design schema types, interact with entries, and orchestrate media libraries directly from the terminal.
Google ADK natively supports Strapi as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 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
- Architecture Discovery — Quickly evaluate top-level content structures invoking
list_content_typesand systematically paginate underlying rows executinglist_entries. - Content Construction — Drive agile content updates creating new JSON-formatted parameters natively by calling
create_entryor updating existing rows viaupdate_entry. - Asset Orchestration — Monitor uploaded visual data traversing the Media Library securely with
list_assetsor uploading remote dependencies instantly usingupload_media_asset. - Audit & Clearance — Protect production integrity by securely tracking and listing authorized active members leveraging
list_cms_users.
The Strapi MCP Server exposes 9 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 Strapi to Google ADK via MCP
Follow these steps to integrate the Strapi 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 9 tools from Strapi via MCP
Why Use Google ADK with the Strapi MCP Server
Google ADK provides unique advantages when paired with Strapi 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 Strapi
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 Strapi tools with BigQuery, Vertex AI, and Cloud Functions
Strapi + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Strapi MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Strapi and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Strapi tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Strapi regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Strapi
Strapi MCP Tools for Google ADK (9)
These 9 tools become available when you connect Strapi to Google ADK via MCP:
create_entry
Provide the plural ID and a JSON string of fields. Creates a new entry for a specific content type
delete_entry
This action is irreversible. Permanently deletes a content entry
get_entry_details
Retrieves details for a specific content entry
list_assets
Lists media assets stored in the Strapi Media Library
list_cms_users
Lists all registered CMS users
list_content_types
Lists all content types (collections and single types) defined in Strapi
list_entries
Provide the plural ID of the content type (e.g., "articles"). Lists entries for a specific content type
update_entry
Provide the plural ID, entry ID, and field updates. Updates fields of an existing content entry
upload_media_asset
Provide the public file URL to be fetched and uploaded. Uploads a new file to the Media Library
Example Prompts for Strapi in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Strapi immediately.
"Review my Strapi content types and show the schema for 'product'."
"Construct a newly formatted post about system updates in the 'articles' content type."
"Upload a new promotional image dependency securely into the Media Library."
Troubleshooting Strapi MCP Server with Google ADK
Common issues when connecting Strapi to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkStrapi + Google ADK FAQ
Common questions about integrating Strapi 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 Strapi with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Strapi to Google ADK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.