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Moss MCP Server
for AI Agents

Connect your AI agent to StackOne's Moss MCP server and give it 30 MCP tools out of the box. Auth, tool execution, and security all managed.

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Moss MCP Server
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30 Agent Actions

Create, read, update, and delete across Moss — and extend your agent's capabilities with custom actions.

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Moss MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Moss tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Moss call.

Tools Discovery →

What is the Moss MCP Server?

A Moss MCP server lets AI agents read and write Moss data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Moss MCP server ships with 30 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.

All Moss MCP Tools

Every action from Moss's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Expenses

  • List Expenses

    Returns a paginated list of expenses with optional filtering by type, status, export status, and date ranges

Expense Accounts

  • List Expense Accounts

    Returns a paginated list of expense accounts with optional filtering and sorting

  • Get Expense Account

    Returns expense account information for a specific expense account ID

Dimensions

  • Create Dimension

    Creates a new dimension in the accounting system

  • List Dimensions

    Returns all dimensions within the authenticated user's organization

  • Get Dimension

    Returns dimension information for a specific dimension ID

  • Update Dimension

    Updates an existing dimension in the accounting system

Dimension Items

  • Create Dimension Item

    Creates a new dimension item for the specified dimension

  • List Dimension Items

    Returns a paginated list of dimension items with optional filtering and sorting

  • Get Dimension Item

    Returns dimension item information for a specific dimension item ID

  • Update Dimension Item

    Updates an existing dimension item

Suppliers

  • Create Supplier

    Creates a new supplier in the authenticated user's organization

  • List Suppliers

    Returns a paginated list of suppliers with optional filtering and sorting

  • Get Supplier

    Returns supplier information for a specific supplier ID

  • Update Supplier

    Partially updates a supplier in the authenticated user's organization

Payment Terms

  • List Payment Terms

    Returns a paginated list of payment terms with optional filtering and sorting

  • Get Payment Term

    Returns payment term information for a specific payment term ID

Tax Rates

  • List Tax Rates

    Returns a paginated list of tax rates with optional filtering and sorting

  • Get Tax Rate

    Returns tax rate information for a specific tax rate ID

Users

  • List Users

    Returns a paginated list of users with optional filtering and sorting

  • Get User

    Returns user information for a specific user ID

Teams

  • List Teams

    Returns a paginated list of teams with optional filtering and sorting

  • Get Team

    Returns team information for a specific team ID

Departments

  • List Departments

    Returns a paginated list of departments with optional filtering and sorting

  • Get Department

    Returns department information for a specific department ID

Bank Accounts

  • List Bank Accounts

    Returns all bank accounts (wallets) for the authenticated user's organization

Bank Account Balances

  • Get Bank Account Balance

    Returns the current balance for a specific bank account

Bank Transactions

  • Search Bank Transactions

    Returns a paginated list of bank transactions for a specific bank account within a date range

Files

  • Search Files

    Returns a paginated list of files based on expense IDs

  • Download File

    Downloads file contents by its ID

Set Up Your Moss MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Moss in under 10 lines of code.

Agent Frameworks

Claude Desktop
{
  "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>"
      ]
    }
  }
}

Moss MCP Server FAQ

Does StackOne have a Moss MCP server?
Yes. StackOne offers a hosted Moss MCP server with 30 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Moss MCP server vs direct API integration — what's the difference?
A Moss MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Moss. A Moss MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Moss at runtime. StackOne provides both.
How does Moss authentication work for AI agents?
Moss authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Moss account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Moss MCP tools vulnerable to prompt injection?
Yes — Moss MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Moss agent and how do I avoid it?
Context bloat happens when Moss tool schemas and API responses eat your Moss agent's memory, preventing it from reasoning effectively. A single Moss query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Moss agent can access?
Yes — you can limit which actions your Moss agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Moss MCP server?
Yes — you can create custom agent actions for your Moss MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Moss's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Moss MCP server?
Skip a Moss MCP server if your integration is purely software-to-software — direct Moss API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Moss actions at runtime.
What AI frameworks and AI clients does the StackOne Moss MCP server support?
The StackOne Moss MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.