Bring Rest Api
to Google ADK
Learn how to connect JSONPlaceholder to Google ADK and start using 21 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the JSONPlaceholder MCP Server?
Connect to JSONPlaceholder, the industry-standard fake REST API, to simulate data interactions within your AI workflows. Perfect for developers testing MCP integrations or prototyping agentic behaviors without a real backend.
What you can do
- Post Management — Use
list_posts,get_post,create_post,update_post,patch_post, anddelete_postto test full CRUD lifecycles. - Social Interactions — Query comments via
list_commentsandget_commentto simulate discussion threads and linking. - Media Handling — Explore
list_albums,get_album,list_photos, andget_phototo manage hierarchical media metadata. - Task Tracking — Use
list_todosto verify state-based logic and completion status in your agents. - Data Filtering — Test precise data retrieval by filtering lists by
userId,postId, oralbumIddirectly through tool parameters.
How it works
- Subscribe to this server
- No real API key is required for this public service, but you can provide a placeholder string if prompted
- Start prototyping your data-driven agents immediately
Who is this for?
- MCP Developers — verify that your client correctly handles tool calls, pagination, and JSON responses
- AI Researchers — prototype complex agent behaviors that require structured data interaction without setting up a database
- Product Designers — demonstrate AI-driven workflows using realistic (but safe) mock data
Built-in capabilities (21)
Create a new post
Delete a post
Get a specific album by ID
Get photos for a specific album
Get a specific comment by ID
Get a specific photo by ID
Get a specific post by ID
Get comments for a specific post
Get a specific todo by ID
Get a specific user by ID
Get albums for a specific user
Get posts for a specific user
Get todos for a specific user
Can be filtered by userId. List all albums
Can be filtered by postId. List all comments
Can be filtered by albumId. List all photos
Can be filtered by userId. List all posts
Can be filtered by userId. List all todos
List all users
Update a post (partial)
Update a post (replace)
Why Google ADK?
Google ADK natively supports JSONPlaceholder as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 21 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
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 JSONPlaceholder
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine JSONPlaceholder tools with BigQuery, Vertex AI, and Cloud Functions
JSONPlaceholder in Google ADK
JSONPlaceholder and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect JSONPlaceholder to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for JSONPlaceholder in Google ADK
The JSONPlaceholder 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. All 21 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
JSONPlaceholder for Google ADK
Every tool call from Google ADK to the JSONPlaceholder MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I filter posts by a specific user?
Yes! Use the list_posts tool with the userId parameter to retrieve only the posts created by that specific user ID.
Does creating or updating a post actually save the data?
No. JSONPlaceholder is a fake API. Tools like create_post, update_post, and delete_post simulate the response as if the action succeeded, but the server state remains unchanged.
How do I find comments for a specific post?
Use the list_comments tool and provide the postId. This will return all comments associated with that specific post ID.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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