How do I find my Facebook Page ID?

Go to your Facebook Page, click **About** > **Page Transparency**, and you will find your Page ID there. Alternatively, it is available in your **Meta Business Suite** settings.

Can the agent send messages to any Facebook user?

The agent can only send messages to users who have previously messaged your Page (generating a PSID). This is consistent with Meta's developer policies for enterprise messaging.

Is it possible to retrieve full message history via the agent?

Yes. Use the `get_messages` tool providing the Conversation ID. Your agent will retrieve the history, including content and timestamps for all messages in that thread.

Messenger MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Messenger
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 Messenger 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({
        "messenger": {
            "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 Messenger, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Messenger MCP Server

Empower your AI agent to orchestrate your entire mobile communication strategy on Facebook Messenger, the leading platform for social engagement. By connecting Messenger to your agent, you transform enterprise messaging into a natural conversation. Your agent can instantly list your conversations, audit message history, and send replies without you ever touching a complex Meta dashboard. Whether you are providing customer support or managing brand personas, your agent acts as a real-time communication assistant, ensuring your Page is always responsive and your community data is organized.

LangChain's ecosystem of 500+ components combines seamlessly with Messenger 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

Conversation Auditing — List all active conversations for your Page and retrieve detailed message history including timestamps.
Messaging Intelligence — Send direct text replies to users instantly to maintain a high response rate.
Persona Oversight — List and retrieve information for brand personas to ensure your bot's identity is correctly applied.
Page Governance — Monitor Page settings and info to maintain strict organizational control over your brand presence.
Content Insights — List message creatives to ensure your automated responses are using the correct media assets.

The Messenger 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 Messenger to LangChain via MCP

Follow these steps to integrate the Messenger 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 Messenger via MCP

Why Use LangChain with the Messenger MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Messenger 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 Messenger queries for multi-turn workflows

Messenger + LangChain Use Cases

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

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

Autonomous research agents: LangChain agents query Messenger, synthesize findings, and generate comprehensive research reports

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

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

Messenger MCP Tools for LangChain (8)

These 8 tools become available when you connect Messenger to LangChain via MCP:

get_messages

Get message history for a specific conversation

get_page_info

Get basic information about the connected Facebook Page

get_page_settings

Get settings for the Facebook Page

get_persona_info

Get details for a specific persona

list_conversations

List recent Messenger conversations for the page

list_message_creative

List message creatives for the page

list_personas

List all personas for the page

send_message

Send a text message reply to a recipient

Example Prompts for Messenger in LangChain

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

"List all active Messenger conversations for my Page."

"Send 'Thank you for contacting us!' to recipient ID 12345678."

"Show me the message history for conversation t_xxxx."

Troubleshooting Messenger MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Messenger + LangChain FAQ

Common questions about integrating Messenger 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.