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 LangChain 8 tools — connect in under 2 minutes

Name: Circle.so
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Circle.so through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "circleso": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Circle.so, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Circle.so through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Circle.so MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Circle.so via MCP

Why Use LangChain with the Circle.so MCP Server

LangChain provides unique advantages when paired with Circle.so through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Circle.so MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Circle.so queries for multi-turn workflows

Circle.so + LangChain Use Cases

Practical scenarios where LangChain combined with the Circle.so MCP Server delivers measurable value.

RAG with live data: combine Circle.so tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Circle.so, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Circle.so tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Circle.so tool call, measure latency, and optimize your agent's performance

Circle.so MCP Tools for LangChain (8)

These 8 tools become available when you connect Circle.so to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Circle.so + LangChain FAQ

Common questions about integrating Circle.so MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.