How do I obtain a Tower Access Token?

Log in to your Tower account, go to the [App Center](https://tower.im/oauth/tokens), and generate a new Personal Access Token. Make sure to copy it immediately.

Can I see team discussions through this server?

Yes. Use the `list_discussions` tool with a project ID to retrieve the list of recent topics and discussions shared within that project.

Is it possible to manage multiple teams?

Yes. You can use `list_teams` to see all teams you are a part of and then use the team IDs to list members or access specific projects associated with those teams.

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

Name: Tower
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 Tower 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({
        "tower": {
            "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 Tower, 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 Tower MCP Server

Empower your AI agent to orchestrate your team's productivity with Tower, the lightweight and intuitive collaboration platform. By connecting Tower to your agent, you transform complex project tracking and task assignment into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse project discussions without you ever needing to navigate the web interface. Whether you are managing a small creative project or a large-scale operation, your agent acts as a real-time team assistant, keeping your workspace organized and your team aligned.

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

Project Management — List all accessible projects and retrieve detailed information about your collaboration workspace.
Task Operations — Create, update, and track tasks with full support for descriptions, assignees, and completion status.
Team Coordination — List teams and members to manage assignments and collaboration effectively.
Discussion Monitoring — Browse project discussions and topics to stay informed about team updates.
Resource Organization — List document folders within projects to access shared resources instantly.

The Tower 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 Tower to LangChain via MCP

Follow these steps to integrate the Tower 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 Tower via MCP

Why Use LangChain with the Tower MCP Server

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

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

Tower + LangChain Use Cases

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

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

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

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

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

Tower MCP Tools for LangChain (10)

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

create_task

Create a new Tower task

get_project

Get project details

get_task_details

Get task details

list_discussions

List project discussions

list_doc_folders

List document folders

list_members

List team members

list_projects

List all Tower projects

list_tasks

List tasks in a project

list_teams

List available teams

update_task

Update an existing Tower task

Example Prompts for Tower in LangChain

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

"List all my active projects on Tower."

"Create a task in project 'Design Refresh' titled 'Select primary color palette'."

"Show me recent discussions in the 'API Integration' project."

Troubleshooting Tower MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tower + LangChain FAQ

Common questions about integrating Tower 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.