How do I connect my account?

Subscribe and provide two things: your **ProofHub Domain** (the 'mycompany' part of `mycompany.proofhub.com`) and your **API Key**. The API Key is somewhat hidden: log into ProofHub, click your profile picture in the bottom-left corner 5 times straight to reveal the 'API access' option, then generate or copy your key.

Can my agent create tasks directly?

Yes! Just tell your agent the project name (or ID), the to-do list, and the title of the task you want created. It will use the `create_task` tool to instantly drop that work item into the specified ProofHub list for your team to pick up.

How can I see what the team has been discussing?

Ask your agent to 'list discussions for project X'. It retrieves all recent discussion topics securely, allowing you to stay in the loop on project blockers, decisions, and brainstorming without opening multiple communication tabs.

Can this server pull files and notes?

Yes. Beyond tasks, the agent can query both `list_files` and `list_notes` for any given project ID. If someone uploaded project requirements or drafted meeting notes, your AI assistant can surface their metadata and context on demand.

ProofHub MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: ProofHub
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 ProofHub as an MCP tool provider through 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 ProofHub. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ProofHub?"
    )
    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 ProofHub MCP Server

Connect your ProofHub domain to any AI agent to streamline project management and team collaboration directly from your workflow.

LlamaIndex agents combine ProofHub tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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 Overviews — Retrieve all active projects, detailed metadata, and overarching status instantly
Task & To-do Management — Fetch to-do lists, see assigned tasks, and even create new work items on the fly
Team Collaboration — Read project discussions, track newly uploaded files, and access shared notebooks and documentation
Resource Management — List all team members, check active statuses, and audit logged hours and productivity via timesheets

The ProofHub 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 ProofHub to LlamaIndex via MCP

Follow these steps to integrate the ProofHub 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 ProofHub

Why Use LlamaIndex with the ProofHub MCP Server

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

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

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

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

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

ProofHub + LlamaIndex Use Cases

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

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

Data enrichment: query ProofHub 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 ProofHub for fresh data

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

ProofHub MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect ProofHub to LlamaIndex via MCP:

create_task

You must provide a valid project ID and todolist ID. Creates a new task in a ProofHub to-do list

get_project

Retrieves full details of a ProofHub project

list_discussions

Lists all discussions (topics) in a ProofHub project

list_files

Lists all files uploaded to a ProofHub project

list_notes

Lists all notes/notebooks in a ProofHub project

list_people

Lists all team members in ProofHub

list_projects

ProofHub is a collaboration tool with tasks, discussions, and files. Lists all projects in ProofHub

list_tasks

Lists all tasks in a ProofHub to-do list

list_timesheets

Lists all timesheet entries for a project

list_todolists

Use this to find the correct list ID before querying or creating tasks. Lists all to-do lists within a ProofHub project

Example Prompts for ProofHub in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ProofHub immediately.

"List all active projects on ProofHub right now."

"Check the to-do list for 'Website Overhaul' and show what's pending."

"Create a task in project 105 (todolist 201) to 'Test checkout flow'."

Troubleshooting ProofHub MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ProofHub + LlamaIndex FAQ

Common questions about integrating ProofHub 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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ProofHub tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.