How do I find my Workspace and Model IDs?

You can use the `list_workspaces` and `list_models` tools provided by this server. They will return a list of all accessible environments along with their unique IDs.

Are actions in Anaplan synchronous or asynchronous?

Most data actions (imports, exports, processes) are asynchronous. When you run them, they return a Task ID. You should then use `get_task_status` to monitor the progress until it reaches a 'COMPLETE' state.

Can I trigger an Anaplan process that contains multiple actions?

Yes, use the `run_process` tool. Processes in Anaplan are designed to run a sequence of imports, exports, and other actions in a specific order. You can monitor the entire process using the returned Task ID.

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

Name: Anaplan
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 Anaplan 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({
        "anaplan": {
            "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 Anaplan, 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 Anaplan MCP Server

Connect your Anaplan account to your AI agent to automate financial planning, supply chain, and sales operations. This MCP server allows you to discover workspaces and models, and trigger complex data integration tasks using natural language.

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

Workspace & Model Discovery — List all available workspaces and models to navigate your planning environment.
Execute Data Actions — Trigger and monitor imports, exports, and processes (groups of actions) to move data in and out of Anaplan.
Task Monitoring — Real-time tracking of asynchronous task statuses to ensure your data integrations complete successfully.
File Management — List files within your models to keep track of historical imports and exports.

The Anaplan 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 Anaplan to LangChain via MCP

Follow these steps to integrate the Anaplan 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 Anaplan via MCP

Why Use LangChain with the Anaplan MCP Server

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

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

Anaplan + LangChain Use Cases

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

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

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

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

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

Anaplan MCP Tools for LangChain (10)

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

get_task_status

Get status of a running task

list_exports

List export actions for a model

list_files

List files in a model (exports/imports)

list_imports

List import actions for a model

list_models

List Anaplan models. Optionally filter by workspaceId

list_processes

List processes for a model

list_workspaces

List available Anaplan workspaces

run_export

Run an Anaplan export action

run_import

Run an Anaplan import action

run_process

Run an Anaplan process

Example Prompts for Anaplan in LangChain

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

"List all my Anaplan workspaces and models."

"Run the 'Monthly Actuals' import in the Finance workspace."

"What's the status of the process task 'p_456'?"

Troubleshooting Anaplan MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Anaplan + LangChain FAQ

Common questions about integrating Anaplan 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.