Oktopost MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Oktopost through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
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({
"oktopost": {
"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 Oktopost, 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 Oktopost MCP Server
Connect your Oktopost account to your AI agent and streamline your B2B social media marketing and lead generation through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Oktopost 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
- Campaign Management — List all active and archived social media campaigns and retrieve detailed settings.
- Profile Oversight — Access metadata and connection statuses for all your linked social profiles (LinkedIn, Twitter, Facebook, etc.).
- Post Monitoring — List scheduled and sent social media messages across all campaigns and check their content.
- Lead & Contact Tracking — Retrieve a list of leads and contacts identified through social media engagement.
- Analytics Reporting — Fetch aggregated performance reports for specific metrics like clicks and shares.
- Conversion Tracking — Monitor successful goal completions and conversions attributed to your social activities.
- Deep Inspection — Fetch complete metadata for specific campaigns, messages, or social profiles using their unique IDs.
The Oktopost 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 Oktopost to LangChain via MCP
Follow these steps to integrate the Oktopost 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 Oktopost via MCP
Why Use LangChain with the Oktopost MCP Server
LangChain provides unique advantages when paired with Oktopost through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Oktopost 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 Oktopost queries for multi-turn workflows
Oktopost + LangChain Use Cases
Practical scenarios where LangChain combined with the Oktopost MCP Server delivers measurable value.
RAG with live data: combine Oktopost tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Oktopost, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Oktopost tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Oktopost tool call, measure latency, and optimize your agent's performance
Oktopost MCP Tools for LangChain (10)
These 10 tools become available when you connect Oktopost to LangChain via MCP:
get_analytics_report
Get social analytics report
get_campaign_details
Get specific campaign info
get_message_details
Get specific message details
get_social_profile_details
Get specific profile info
list_campaigns
List social media campaigns
list_oktopost_tags
List organization tags
list_social_contacts
List social leads and contacts
list_social_conversions
List social-driven conversions
list_social_messages
List scheduled and sent messages
list_social_profiles
) connected to the account. List connected social profiles
Example Prompts for Oktopost in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Oktopost immediately.
"List all my active social media campaigns."
"What is the click engagement for the 'Summer Promo' campaign?"
"Show me the latest leads identified from LinkedIn."
Troubleshooting Oktopost MCP Server with LangChain
Common issues when connecting Oktopost to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOktopost + LangChain FAQ
Common questions about integrating Oktopost 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?
Connect Oktopost with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Oktopost to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.