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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Tower
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tower as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Tower. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Tower?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Tower tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Tower MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Tower

Why Use LlamaIndex with the Tower MCP Server

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

Data-first architecture: LlamaIndex agents combine Tower tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Tower tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Tower, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Tower tools were called, what data was returned, and how it influenced the final answer

Tower + LlamaIndex Use Cases

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

Hybrid search: combine Tower real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Tower to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Tower for fresh data

Analytical workflows: chain Tower queries with LlamaIndex's data connectors to build multi-source analytical reports

Tower MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Tower to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Tower + LlamaIndex FAQ

Common questions about integrating Tower MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.