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The #1 agentic semantic tool search: 91.6% first-try accuracy on S1 Search Bench • Explore Tool Discovery →
Connect your AI agent to StackOne's Anaplan MCP server and give it 43 MCP tools out of the box. Auth, tool execution, and security all managed.
Coverage
Create, read, update, and delete across Anaplan — and extend your agent's capabilities with custom actions.
Authentication
Per-user OAuth in one call. Your Anaplan MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →Security
Every Anaplan tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →Performance
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Anaplan call.
Tools Discovery →A Anaplan MCP server lets AI agents read and write Anaplan data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Anaplan MCP server ships with 43 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
Every action from Anaplan's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
List all import actions in a model
List all export actions in a model
List all delete actions in a model
Get details of a specific import action
Get details of a specific export action
Get details of a specific delete action
List all actions in a model
Get details of a specific model action
List all process actions in a model
Get details of a specific process action
Create one or more items in a list or dimension
List all items in a list or dimension
Get details of a specific list item
Update an existing list item
Delete an item from a list or dimension
List all models in the default tenant
Get details of a specific model
List all modules in a model
Get details of a specific module
Create a new SCIM user
List all SCIM users in the workspace
Get details of a SCIM user
Replace SCIM user (full update)
Delete a SCIM user (deprovision)
List SCIM groups (workspaces)
Get SCIM group (workspace) details
List all views in a model
Get metadata of a specific view
List all workspaces in the tenant with optional tenant details
Get details of a specific workspace
Upload a single chunk of a file for import
Download export result file
List all lists and dimensions in a model
Get details of a specific list or dimension
Retrieve cell data from a view
Execute an import action
Execute an export action
Execute a process action
Execute a generic model action by ID
Execute a delete action
Close a model (lock it for structural changes)
Partially update SCIM user
Update SCIM group membership
One endpoint. Any framework. Your agent is talking to Anaplan in under 10 lines of code.
Agent Frameworks
{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
origin_owner_id.All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.