Can I see who the most recent members to join are?

Yes! Use the `list_community_members` tool. The agent will return a list of members, and you can see their join dates and profile details directly.

How do I see the comments for a specific post?

Use the `list_post_comments` tool with the unique post ID. Your agent will fetch all comments, allowing you to review the discussion without leaving your chat.

Where do I find my Circle API Token?

Log in to your Circle community as an admin, go to **Settings**, and select **API**. You can generate and copy your token from that section.

Circle.so MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Circle.so
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Circle.so Assistant",
            instructions=(
                "You help users interact with Circle.so. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Circle.so MCP Server

Connect your Circle.so community to any AI agent and take full control of your community management through natural conversation. Streamline how you engage with members and monitor content.

The OpenAI Agents SDK auto-discovers all 8 tools from Circle.so through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Circle.so, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Member Oversight — List and retrieve details for all community members and their profile information natively
Space Intelligence — Access and monitor all spaces and space groups within your community flawlessly
Content Tracking — List recent posts and comments to stay updated on community discussions securely
Event Management — Access upcoming and past community events and retrieve detailed metadata flawlessly
Topic Oversight — Monitor discussion topics to understand what your community is talking about securely
Admin Insights — Retrieve your own admin profile and core community metadata directly within your workspace

The Circle.so MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Circle.so to OpenAI Agents SDK via MCP

Follow these steps to integrate the Circle.so MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 8 tools from Circle.so

Why Use OpenAI Agents SDK with the Circle.so MCP Server

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

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

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

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

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

Circle.so + OpenAI Agents SDK Use Cases

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

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

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

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

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

Circle.so MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Circle.so to OpenAI Agents SDK via MCP:

get_my_circle_profile

Retrieve information about the authenticated admin user

list_community_events

List upcoming and past community events

list_community_members

List all members in the community

list_community_posts

List recent posts in the community

list_community_spaces

List all spaces (sub-communities) in the community

list_community_topics

List discussion topics

list_post_comments

List comments for a specific post

list_space_groups

List groups that organize spaces

Example Prompts for Circle.so in OpenAI Agents SDK

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

"List all spaces in my Circle community."

"Show me the last 5 posts in the 'General Discussion' space."

"What are the upcoming community events?"

Troubleshooting Circle.so MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Circle.so + OpenAI Agents SDK FAQ

Common questions about integrating Circle.so MCP Server with OpenAI Agents SDK.

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.