ProofHub MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ProofHub through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"proofhub": {
"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 ProofHub, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with ProofHub 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 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 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 ProofHub to LangChain via MCP
Follow these steps to integrate the ProofHub 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 ProofHub via MCP
Why Use LangChain with the ProofHub MCP Server
LangChain provides unique advantages when paired with ProofHub through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ProofHub 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 ProofHub queries for multi-turn workflows
ProofHub + LangChain Use Cases
Practical scenarios where LangChain combined with the ProofHub MCP Server delivers measurable value.
RAG with live data: combine ProofHub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ProofHub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ProofHub tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ProofHub tool call, measure latency, and optimize your agent's performance
ProofHub MCP Tools for LangChain (10)
These 10 tools become available when you connect ProofHub to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting ProofHub to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersProofHub + LangChain FAQ
Common questions about integrating ProofHub MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect ProofHub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ProofHub to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.