4,000+ servers built on vurb.ts
Vinkius

JSONPlaceholder MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 21 tools to Create Post, Delete Post, Get Album, and more

MCP Inspector GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect JSONPlaceholder through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The JSONPlaceholder MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 21 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="JSONPlaceholder Assistant",
            instructions=(
                "You help users interact with JSONPlaceholder. "
                "You have access to 21 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from JSONPlaceholder"
        )
        print(result.final_output)

asyncio.run(main())
JSONPlaceholder
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

The OpenAI Agents SDK auto-discovers all 21 tools from JSONPlaceholder through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries JSONPlaceholder, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Post Management — Use list_posts, get_post, create_post, update_post, patch_post, and delete_post to test full CRUD lifecycles.
  • Social Interactions — Query comments via list_comments and get_comment to simulate discussion threads and linking.
  • Media Handling — Explore list_albums, get_album, list_photos, and get_photo to manage hierarchical media metadata.
  • Task Tracking — Use list_todos to verify state-based logic and completion status in your agents.
  • Data Filtering — Test precise data retrieval by filtering lists by userId, postId, or albumId directly through tool parameters.

The JSONPlaceholder MCP Server exposes 21 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 21 JSONPlaceholder tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to JSONPlaceholder through Vinkius, your AI agent gets direct access to every tool listed below — spanning rest-api, mock-data, testing, 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.

create

Create post on JSONPlaceholder

Create a new post

delete

Delete post on JSONPlaceholder

Delete a post

get

Get album on JSONPlaceholder

Get a specific album by ID

get

Get album photos on JSONPlaceholder

Get photos for a specific album

get

Get comment on JSONPlaceholder

Get a specific comment by ID

get

Get photo on JSONPlaceholder

Get a specific photo by ID

get

Get post on JSONPlaceholder

Get a specific post by ID

get

Get post comments on JSONPlaceholder

Get comments for a specific post

get

Get todo on JSONPlaceholder

Get a specific todo by ID

get

Get user on JSONPlaceholder

Get a specific user by ID

get

Get user albums on JSONPlaceholder

Get albums for a specific user

get

Get user posts on JSONPlaceholder

Get posts for a specific user

get

Get user todos on JSONPlaceholder

Get todos for a specific user

list

List albums on JSONPlaceholder

Can be filtered by userId. List all albums

list

List comments on JSONPlaceholder

Can be filtered by postId. List all comments

list

List photos on JSONPlaceholder

Can be filtered by albumId. List all photos

list

List posts on JSONPlaceholder

Can be filtered by userId. List all posts

list

List todos on JSONPlaceholder

Can be filtered by userId. List all todos

list

List users on JSONPlaceholder

List all users

patch

Patch post on JSONPlaceholder

Update a post (partial)

update

Update post on JSONPlaceholder

Update a post (replace)

Connect JSONPlaceholder to OpenAI Agents SDK via MCP

Follow these steps to wire JSONPlaceholder into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 21 tools from JSONPlaceholder

Why Use OpenAI Agents SDK with the JSONPlaceholder MCP Server

OpenAI Agents SDK provides unique advantages when paired with JSONPlaceholder through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

JSONPlaceholder + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the JSONPlaceholder MCP Server delivers measurable value.

01

Automated workflows: build agents that query JSONPlaceholder, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries JSONPlaceholder, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through JSONPlaceholder tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query JSONPlaceholder to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for JSONPlaceholder in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with JSONPlaceholder immediately.

01

"List all posts for user 1."

02

"Get the details for comment ID 5."

03

"Create a new post for user 10 with title 'MCP Test' and body 'Testing JSONPlaceholder'."

Troubleshooting JSONPlaceholder MCP Server with OpenAI Agents SDK

Common issues when connecting JSONPlaceholder to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

JSONPlaceholder + OpenAI Agents SDK FAQ

Common questions about integrating JSONPlaceholder MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Explore More MCP Servers

View all →