anaplan-user-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@anaplan-user-mcp List accessible models"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
anaplan-user-mcp
A business-user-focused MCP server for Anaplan — read-only, session-cached, and gated by AI-layer metadata.
Unlike full-featured Anaplan MCP servers with dozens of tools, anaplan-user-mcp exposes just 5 tools designed for guided data exploration by business users through an AI assistant.
How It Works
The Iron Door
Not every Anaplan model is accessible. A model must be explicitly prepared for AI consumption by including two sentinel modules:
AI Model Metadata — marks the model as AI-accessible
AI Module Metadata — defines which modules are exposed
Within admitted models, only line items tagged with AI LI Metadata appear. Everything else is invisible. No writes, no bulk actions, no admin operations — read-only by design.
Session Flow
identify_user → init_session → list_accessible_models → read_module_summary / read_module_detailidentify_user — discover which workspaces the credentials can access
init_session — scan all models, admit those passing the iron door, cache metadata
list_accessible_models — browse the cached models
read_module_summary — one-call rollup: resolves list dimensions to top-level items, reads aggregated data
read_module_detail — drill into a specific dimension slice
Related MCP server: Anaplan MCP
Setup
Prerequisites
Node.js 18+
Anaplan credentials (any of: username/password, OAuth client, or certificate)
Install
git clone https://github.com/larasrinath/anaplan-user-mcp.git
cd anaplan-user-mcp
npm install
npm run buildConfigure Credentials
Set one of these authentication methods via environment variables:
Basic Auth:
export ANAPLAN_USERNAME="your-email@example.com"
export ANAPLAN_PASSWORD="your-password"OAuth:
export ANAPLAN_CLIENT_ID="your-client-id"
export ANAPLAN_CLIENT_SECRET="your-client-secret" # optional for device grantCertificate:
export ANAPLAN_CERTIFICATE_PATH="/path/to/cert.pem"
export ANAPLAN_PRIVATE_KEY_PATH="/path/to/key.pem"Add to Your MCP Client
Claude Desktop / Claude Code — add to your MCP config:
{
"mcpServers": {
"anaplan-user": {
"command": "node",
"args": ["/path/to/anaplan-user-mcp/dist/index.js"],
"env": {
"ANAPLAN_USERNAME": "your-email@example.com",
"ANAPLAN_PASSWORD": "your-password"
}
}
}
}Or run directly:
npm startThe server communicates over stdio using the MCP protocol.
Development
npm run dev # Run with tsx (no build step)
npm run build # Compile TypeScript → dist/
npm run typecheck # Type-check without emittingArchitecture
src/
├── auth/ # Token lifecycle (basic, certificate, OAuth)
├── api/ # Read-only Anaplan API wrappers
├── session/ # Iron-door cache (types + SessionCacheManager)
├── tools/ # 5 MCP tools + table formatter
├── transport/ # stdio transport (content-length + line framing)
├── server.ts # McpServer factory
└── index.ts # Entry pointThe auth layer, HTTP client, and transport are shared with anaplan-mcp. API modules have write methods removed.
Preparing an Anaplan Model
For a model to be accessible through this server:
Create a module named AI Model Metadata in the model
Create a module named AI Module Metadata in the model
Tag line items you want to expose with AI LI Metadata
Only tagged line items in models with both sentinel modules will appear in the session cache.
License
Available Tools
5 toolsidentify_userA
List the Anaplan workspaces accessible to the current credentials. Call this first to understand what the user can see.
Inputs: no named parameters.
init_sessionA
Scan all accessible models, admit only those with AI Model Metadata and AI Module Metadata sentinel modules, cache their modules and tagged line items. Must be called once before any data-reading tool.
Inputs: no named parameters.
list_accessible_modelsA
List all AI-layer models from the session cache with their modules and line item counts. Requires init_session.
Inputs: no named parameters.
read_module_detailA
Read module data with explicit page selections to drill into a specific slice. Use when the user asks to filter by a specific dimension member instead of the top-level rollup.
Inputs: model (required), module (required), pages.
read_module_summaryA
Read a pre-computed rollup of a module's data. Automatically resolves list dimensions to their topLevelItem for aggregated results. One call returns line item metadata + cell data.
Inputs: model (required), module (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 5 tools
Each tool targets a distinct step in the workflow: user identification, session initialization, model listing, summary read, and detail read. The two read tools are clearly differentiated by rollup vs. explicit page selection, so no ambiguity.
All tool names follow a consistent verb_noun snake_case pattern (identify_user, init_session, list_accessible_models, read_module_summary, read_module_detail). The verbs are all in imperative form and the nouns are clear.
With 5 tools, the server is well-scoped for a read-only Anaplan user/MCP workflow. Each tool is necessary and there is no redundancy or excessive surface area.
The tool set covers the full lifecycle from user identification through session initialization, model listing, and both aggregate and detailed data reading. No obvious gaps for the stated purpose of read-only access and data extraction.
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