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

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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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Live 34 Actions

InfoSec MCP Server
for AI Agents

Connect your AI agent to StackOne's InfoSec MCP server and give it 34 MCP tools out of the box. Auth, tool execution, and security all managed.

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InfoSec MCP Server
Built by StackOne StackOne
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Coverage

34 Agent Actions

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

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every InfoSec 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 InfoSec call.

Tools Discovery →

What is the InfoSec MCP Server?

A InfoSec MCP server lets AI agents read and write InfoSec data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's InfoSec MCP server ships with 34 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 InfoSec MCP Tools

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

Campaigns

  • List Campaigns

    Retrieve a list of all training campaigns

  • Get Campaign

    Retrieve detailed information for a specific campaign

Campaign Runs

  • List Campaign Runs

    Retrieve all runs for a specific campaign

  • Get Campaign Run

    Retrieve details for a specific campaign run

Courses

  • List Courses

    Retrieve a list of all training courses

  • Get Course

    Retrieve details for a specific course by ID

Learner Groups

  • List Learner Groups

    Retrieve a list of all learner groups

  • Get Learner Group

    Retrieve details for a specific learner group

Learners

  • Create Learner

    Create a new learner in the account

  • List Learners

    Retrieve a list of all learners in the account

  • Get Learner

    Retrieve detailed information for a specific learner by ID

  • Update Learner

    Update an existing learner's information

  • Delete Learner

    Delete a learner from the account

PhishSim Templates

  • List PhishSim Templates

    Retrieve a list of all PhishSim phishing templates

  • Get PhishSim Template

    Retrieve details for a specific PhishSim template

PhishHunter Messages

  • List PhishHunter Messages

    Retrieve a list of reported phishing emails from PhishHunter

  • Get PhishHunter Message

    Retrieve details for a specific PhishHunter reported message

Other (17)

  • Create AwareEd Campaign

    Create a new AwareEd security awareness training campaign

  • Create PhishSim Campaign

    Create a new PhishSim phishing simulation campaign

  • Get Assessment

    Retrieve details for a specific assessment by ID

  • List Phishing Batteries

    Retrieve a list of all PhishSim template batteries

  • List Brandings

    Retrieve a list of organizational brands

  • Get Campaign Details (Clone)

    Retrieve campaign details in the shape needed to clone the campaign

  • List Campaign Run Learners

    Retrieve learners enrolled in a campaign run

  • Get Campaign Run Statistics

    Retrieve statistics for a campaign run

  • Get Module

    Retrieve details for a specific training module by ID

  • List Learner Group Members

    Retrieve learners belonging to a specific group

  • List Learner Timeline Events

    List timeline events for a specific learner

  • List Notifications

    Retrieve a list of all notification templates

  • Get Quarantined Email

    Retrieve details for a specific quarantined email

  • List Categories

    Retrieve a list of all training categories

  • List Languages

    Retrieve a list of all available languages

  • List Timeline Events

    Retrieve organization-wide timeline events

  • Enroll Learner In Campaign

    Enroll a learner into a specific campaign

Set Up Your InfoSec MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to InfoSec 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 Security MCP Servers

Cloudflare

150+ actions

OneLogin

110+ actions

Auth0

78+ actions

JumpCloud

76+ actions

Sentinel XS

69+ actions

Microsoft Entra ID

68+ actions

Drata

64+ actions

All Security 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 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

14 min read

InfoSec MCP Server FAQ

Does StackOne have a InfoSec MCP server?
Yes. StackOne offers a hosted InfoSec MCP server with 34 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.
InfoSec MCP server vs direct API integration — what's the difference?
A InfoSec MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling InfoSec. A InfoSec 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 InfoSec at runtime. StackOne provides both.
How does InfoSec authentication work for AI agents?
InfoSec 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 InfoSec account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are InfoSec MCP tools vulnerable to prompt injection?
Yes — InfoSec 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 InfoSec agent and how do I avoid it?
Context bloat happens when InfoSec tool schemas and API responses eat your InfoSec agent's memory, preventing it from reasoning effectively. A single InfoSec 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 InfoSec agent can access?
Yes — you can limit which actions your InfoSec 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 InfoSec MCP server?
Yes — you can create custom agent actions for your InfoSec MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research InfoSec's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a InfoSec MCP server?
Skip a InfoSec MCP server if your integration is purely software-to-software — direct InfoSec 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 InfoSec actions at runtime.
What AI frameworks and AI clients does the StackOne InfoSec MCP server support?
The StackOne InfoSec 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.

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