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Curator.io MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

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({
        "curatorio": {
            "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 Curator.io, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Curator.io
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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 Curator.io MCP Server

Integrate Curator.io, the modern social media aggregator, directly into your AI workflow. Manage your social feeds, monitor recent posts across multiple platforms, and audit your social media sources using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Curator.io through native MCP adapters. Connect 10 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

  • Feed Management — List and retrieve detailed settings for all your aggregated social feeds.
  • Post Monitoring — Track recent posts within specific feeds and monitor their status and interaction details.
  • Source Discovery — List all social media sources (accounts, hashtags) associated with your feeds.
  • Moderation Oversight — Access active moderation and filtering rules to ensure consistent content display.

The Curator.io MCP Server exposes 10 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 Curator.io to LangChain via MCP

Follow these steps to integrate the Curator.io MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Curator.io via MCP

Why Use LangChain with the Curator.io MCP Server

LangChain provides unique advantages when paired with Curator.io through the Model Context Protocol.

01

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

02

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

03

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

04

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

Curator.io + LangChain Use Cases

Practical scenarios where LangChain combined with the Curator.io MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query Curator.io, synthesize findings, and generate comprehensive research reports

03

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

04

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

Curator.io MCP Tools for LangChain (10)

These 10 tools become available when you connect Curator.io to LangChain via MCP:

01

get_account_details

Resolves usage limits and account identifiers. Interacts with the account and billing boundary. Retrieve metadata for your Curator.io account

02

get_feed_details

Resolves moderation settings, design configurations, and metadata. Interacts with the feed configuration boundary. Get detailed settings and metadata for a specific feed

03

get_feed_post_count

Resolves quantitative feed metrics. Touches the data aggregation and metrics boundary. Get the total number of posts currently in a feed

04

list_active_feeds

Resolves operational feed records. Touches the feed status management boundary. Quickly list only the feeds that are currently active

05

list_feed_posts

Resolves post content, timestamps, and source origin. Touches the content delivery and aggregation boundary. List recent social media posts within a specific feed

06

list_feed_sources

Resolves source types (Instagram, Twitter, etc.) and connection parameters. Touches the ingestion gateway boundary. List all social media sources (accounts, hashtags) for a feed

07

list_moderation_rules

Resolves keyword filters and exclusion patterns. Touches the content moderation logic boundary. List active moderation and filtering rules for a feed

08

list_social_connections

Resolves account identifiers and authentication states. Touches the OAuth and external API integration boundary. List connected social media accounts (Instagram, Twitter, etc.)

09

list_social_feeds

Resolves feed IDs, names, and current statuses. Interacts with the feed management system. List all social media feeds configured in Curator.io

10

search_posts_in_feed

Resolves matching post entities. Touches the indexed content search boundary. Search for specific social posts within a feed by keyword

Example Prompts for Curator.io in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Curator.io immediately.

01

"List all active social feeds in my account."

02

"Show me the last 5 posts from the 'Event Hashtag #Tech2024' feed."

03

"What are the social sources for my 'Company Instagram' feed?"

Troubleshooting Curator.io MCP Server with LangChain

Common issues when connecting Curator.io to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Curator.io + LangChain FAQ

Common questions about integrating Curator.io MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Curator.io to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.