How to Use the Anaplan MCP in LlamaIndex

Index your Anaplan environment state into LlamaIndex to query workspace configurations using natural language.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Anaplan MCP to LlamaIndex

Create your Vinkius account to connect Anaplan to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Anaplan with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Searchable Anaplan metadata in LlamaIndex

The server exposes `list_models` and `list_workspaces` so LlamaIndex can ingest your entire environment map. This turns your static infrastructure list into a searchable knowledge base. You can ask your agent where specific data resides, and it retrieves the answer from the indexed tool output. It grounds every response in the actual state of your models.

Grounding RAG queries with Anaplan data

Use `list_files` and `list_exports` to feed live configuration details into your vector store. LlamaIndex then creates a semantic index of your available actions. When you query the agent about current processes, it provides answers based on the latest API data. This removes the guesswork from managing complex planning environments.

Execute actions from indexed knowledge

LlamaIndex identifies the correct `run_import` or `run_process` based on the context found in your documents. It maps your high-level intent to the specific technical action required. The agent uses the tool list to verify parameters before running any operation. This ensures your data updates match the requirements found in your internal documentation.

Setup guide

Set up Anaplan MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Anaplan MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Anaplan tools.",
)
response = await agent.run("List recent Anaplan data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Anaplan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Anaplan now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Anaplan MCP in LlamaIndex

LlamaIndex calls the server to fetch metadata and converts it into nodes for your vector store. This allows you to perform semantic search over your workspace structures.

You can index the results of your export lists so the agent understands what is available. It then uses that knowledge to execute the right export when you ask.

No, because the agent relies on the live output of the tools. It fetches the current model list rather than relying on stale or guessed data.

Use the provided Python package to initialize the client. Once connected, the tool specifications are automatically converted into a format your agent understands.

Data is processed in an ephemeral V8 sandbox. We treat your planning figures as transient input, ensuring they are not cached or stored beyond the immediate session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript