How do I find my Planhat API Token?

In your Planhat account, go to **Settings** > **API**. There you can generate and copy your security token.

Can I see all end users for a specific company?

Yes! Use the `list_planhat_end_users` tool. You can then ask the AI agent to filter the results for a particular company name or ID from the retrieved list.

Does this support checking active licenses?

Absolutely. Use the `list_planhat_licenses` tool to retrieve a comprehensive list of all customer licenses and their associated data.

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

Name: Planhat
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 Planhat 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({
        "planhat": {
            "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 Planhat, 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 Planhat MCP Server

Connect your Planhat workspace to any AI agent and take full control of your customer success and growth workflows through natural conversation.

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

Company Oversight — List all companies and retrieve detailed metadata to manage your customer relationships.
User & Contact Tracking — List end users and associated metadata to understand your user base.
Task & Activity Management — List pending tasks and monitor activities to ensure proactive customer management.
Conversation Discovery — List all ongoing conversations to maintain a pulse on customer communication.
License & Asset Auditing — List configured licenses and assets to verify customer entitlements.
Project Monitoring — List active projects to track implementation and success plans.

The Planhat 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 Planhat to LangChain via MCP

Follow these steps to integrate the Planhat 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 Planhat via MCP

Why Use LangChain with the Planhat MCP Server

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

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

Planhat + LangChain Use Cases

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

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

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

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

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

Planhat MCP Tools for LangChain (10)

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

get_planhat_company

Get details for a specific company

get_planhat_me

Get current user info

list_planhat_assets

List all assets

list_planhat_companies

List all companies in Planhat

list_planhat_conversations

List all conversations

list_planhat_end_users

List all end users

list_planhat_licenses

List all licenses

list_planhat_notes

List all notes

list_planhat_projects

List all projects

list_planhat_tasks

List all tasks

Example Prompts for Planhat in LangChain

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

"List all active companies in my Planhat account."

"Show me the last 5 tasks assigned to me in Planhat."

"What are the active licenses for company 'Acme Corp'?"

Troubleshooting Planhat MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Planhat + LangChain FAQ

Common questions about integrating Planhat 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.