Instagram (Social Media & Business) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Instagram (Social Media & Business) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"instagram-social-media-business": {
"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 Instagram (Social Media & Business), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Instagram (Social Media & Business) MCP Server
Connect your Instagram Business account to any AI agent and take full control of your social media content and audience engagement through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Instagram (Social Media & Business) through native MCP adapters. Connect 10 tools via the 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
- Content Publishing — Dispatch professional photos and high-impact reels directly from your agent, including custom captions and automated scheduling flows
- Audience Insights — Query deep performance metrics for your posts and stories to understand reach, impressions, and engagement trends in real-time
- Comment Management — List, retrieve, and respond to customer comments on your media items to maintain a high-touch social presence effortlessly
- Media Inventory — Enumerate your published content library and extract detailed metadata, including permalinks and media types (IMAGE, VIDEO, CAROUSEL)
- Profile Audit — Access your Business account profile data and monitor follower counts and account biographies securely
- Token Management — Refresh long-lived access tokens directly through your agent to ensure uninterrupted service connectivity
The Instagram (Social Media & Business) 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 Instagram (Social Media & Business) to LangChain via MCP
Follow these steps to integrate the Instagram (Social Media & Business) 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 10 tools from Instagram (Social Media & Business) via MCP
Why Use LangChain with the Instagram (Social Media & Business) MCP Server
LangChain provides unique advantages when paired with Instagram (Social Media & Business) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Instagram (Social Media & Business) 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 Instagram (Social Media & Business) queries for multi-turn workflows
Instagram (Social Media & Business) + LangChain Use Cases
Practical scenarios where LangChain combined with the Instagram (Social Media & Business) MCP Server delivers measurable value.
RAG with live data: combine Instagram (Social Media & Business) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Instagram (Social Media & Business), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Instagram (Social Media & Business) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Instagram (Social Media & Business) tool call, measure latency, and optimize your agent's performance
Instagram (Social Media & Business) MCP Tools for LangChain (10)
These 10 tools become available when you connect Instagram (Social Media & Business) to LangChain via MCP:
delete_comment
Requires a comment_id. Delete an Instagram comment
get_comments
Requires a media_id — get it from instagram.media first. To reply to a comment, use instagram.comment.reply. To delete a comment, use instagram.comment.delete. Get comments on an Instagram post — text, username, timestamp, like count, and reply count
get_insights
Requires a media_id — get it from instagram.media first. Only works for Business and Creator accounts. Returns: impressions (total views including repeats), reach (unique accounts), likes, comments, shares, saves. Get performance insights for an Instagram post: impressions, reach, likes, comments, shares, saves, and total interactions
get_media
Returns media_type, caption, permalink, like_count, comments_count, timestamp. For post performance metrics, use instagram.insights with the media_id. For comments, use instagram.comments with the media_id. Get recent Instagram posts — images, videos, reels, carousels — with like and comment counts
get_media_children
Requires a media_id. Get all photos/videos within an Instagram carousel album
get_profile
Returns: username, display name, biography, followers, following, post count, website, profile picture, account type. For posts/media, use instagram.media. For post performance, use instagram.insights. Get the authenticated Instagram account profile: username, bio, follower count, following, post count, website
publish_photo
The image_url MUST be a publicly accessible HTTPS URL — Instagram fetches it directly. Only works for Business and Creator accounts. For videos/reels, use instagram.publish.reel. ALWAYS confirm with the user before publishing. This action is irreversible. Publish a photo to Instagram — provide a public image URL and caption
publish_reel
The video_url MUST be a publicly accessible HTTPS URL pointing to an MP4 file. Only works for Business and Creator accounts. For photos, use instagram.publish.photo. ALWAYS confirm with the user before publishing. This action is irreversible. Publish a Reel to Instagram — provide a public video URL and caption
refresh_token
Can be called any time after the token has been active for at least 24 hours. After refreshing, ALWAYS show the new access token and instruct the user to update their INSTAGRAM_ACCESS_TOKEN credential in Vinkius. The old token becomes invalid. Refresh your Instagram access token — extends validity for another 60 days
reply_comment
Requires a comment_id. Reply to an Instagram comment
Example Prompts for Instagram (Social Media & Business) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Instagram (Social Media & Business) immediately.
"Publish this photo to Instagram with caption 'Enjoying the sunset! #vibes': https://example.com/photo.jpg"
"Show me the insights for my last 3 posts"
"Are there any new comments on the 'Product Launch' Reel?"
Troubleshooting Instagram (Social Media & Business) MCP Server with LangChain
Common issues when connecting Instagram (Social Media & Business) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInstagram (Social Media & Business) + LangChain FAQ
Common questions about integrating Instagram (Social Media & Business) MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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Connect Instagram (Social Media & Business) to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.