Can I draft and publish a new product update from the agent?

Yes! Use the `create_post` action with your title and content. You can also set the `publish` parameter to true to make it live immediately.

How do I see recent user feedback on my posts?

Simply ask the agent to `list_feedback`. It will retrieve the latest reactions and comments from your Beamer feed for your review.

Does the integration provide reach metrics for my announcements?

Yes. Use the `get_analytics` tool to fetch data on views, clicks, and engagement across your Beamer posts.

Beamer MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Beamer
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Beamer 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({
        "beamer": {
            "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 Beamer, 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

<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 Beamer MCP Server

Connect your Beamer account to any AI agent and streamline your product communication and user engagement workflows through natural conversation.

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

Post Management — Create, list, update, and delete product update posts to keep your users informed.
User Engagement — Monitor Beamer notifications and track how users interact with your updates.
Analytics Insights — Retrieve real-time analytics data to understand the reach and impact of your announcements.
Feedback Collection — List and inspect user feedback and reactions to your product changes.
User Auditing — List managed users within your Beamer project for better oversight.

The Beamer 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 Beamer to LangChain via MCP

Follow these steps to integrate the Beamer 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 Beamer via MCP

Why Use LangChain with the Beamer MCP Server

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

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

Beamer + LangChain Use Cases

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

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

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

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

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

Beamer MCP Tools for LangChain (10)

These 10 tools become available when you connect Beamer to LangChain via MCP:

create_post

Create a new Beamer post

delete_post

Delete a Beamer post

get_analytics

Retrieve Beamer analytics data

get_feedback_details

Get details of specific feedback

get_post

Get details of a specific Beamer post

list_feedback

List customer feedback

list_notifications

List Beamer notifications

list_posts

List all Beamer posts

list_users

List Beamer users

update_post

Update an existing Beamer post

Example Prompts for Beamer in LangChain

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

"List the last 5 posts published on Beamer."

"Create a new post titled 'Spring Update' with content 'We have improved performance by 20%.'"

"Show me the latest user feedback."

Troubleshooting Beamer MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Beamer + LangChain FAQ

Common questions about integrating Beamer 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.