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StackOne
Connectors
Connect

Connect to everything your agents need, without writing the infrastructure to get there.

Secure

Enterprise-grade controls to ensure your agent always meets security & compliance standards.

Optimize

Maximise agent efficiency – faster responses, increased accuracy, fewer tokens used.

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Loom MCP Server
for AI Agents

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

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Loom MCP Server
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Coverage

7 Agent Actions

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

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Loom 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 Loom call.

Tools Discovery →

What is the Loom MCP Server?

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

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

Unified Groups

  • List Unified Groups

    List the Atlassian directory groups with a role assigned on an organization's Loom workspace.

  • Get Unified Group

    Get a unified Atlassian directory group by ID.

Unified Organizations

  • List Unified Organizations

    List the Atlassian organizations reachable with the connection's organization API key.

  • Get Unified Organization

    Get a unified Atlassian organization by ID.

Unified Users

  • List Unified Users

    List the members of an organization's Loom workspace.

  • Get Unified User

    Get a unified Loom workspace user by ID.

Workspaces

  • List Workspaces

    List the Atlassian product workspaces (Jira, Confluence, Loom, and others) visible to an organization.

Set Up Your Loom MCP Server in Minutes

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

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

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>"
      ]
    }
  }
}

Check More Communication MCP Servers

Basecamp

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All Communication MCP Servers →

Platform Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

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

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

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

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

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: Architecture, Security, and When to Use Each

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 vs API: What Hundreds of Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building hundreds of connectors that serve both, here's when each approach wins.

14 min read

Loom MCP Server FAQ

Does StackOne have a Loom MCP server?
Yes. StackOne offers a hosted Loom MCP server, 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.
Loom MCP server vs direct API integration — what's the difference?
A Loom MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Loom. A Loom 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 Loom at runtime. StackOne provides both.
How does Loom authentication work for AI agents?
Loom 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 Loom account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Loom MCP tools vulnerable to prompt injection?
Yes — Loom 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 Loom agent and how do I avoid it?
Context bloat happens when Loom tool schemas and API responses eat your Loom agent's memory, preventing it from reasoning effectively. A single Loom 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 Loom agent can access?
Yes — you can limit which actions your Loom 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 Loom MCP server?
Yes — you can create custom agent actions for your Loom MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Loom's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Loom MCP server?
Skip a Loom MCP server if your integration is purely software-to-software — direct Loom 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 Loom actions at runtime.
What AI frameworks and AI clients does the StackOne Loom MCP server support?
The StackOne Loom 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.

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