Live 91 Actions

Aha! MCP Server
for AI Agents

Q: What AI frameworks and AI clients does the StackOne Aha! MCP server support?

The StackOne Aha! 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.

Connect your AI agent to StackOne's Aha! MCP server and give it 91 MCP tools out of the box. Auth, tool execution, and security all managed.

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Aha! MCP Server

Built by

StackOne

Coverage

91 Agent Actions

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

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Aha! 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 Aha! call.

Tools Discovery →

What is the Aha! MCP Server?

A Aha! MCP server lets AI agents read and write Aha! data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Aha! MCP server ships with 91 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 Aha! MCP Tools

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

Comments

Get Comment
Get a specific comment by ID
Update Comment
Update an existing comment
Delete Comment
Delete a comment

Epics

Create Epic
Create a new epic
List Epics
List all epics
Get Epic
Get specific epic by ID or key
Update Epic
Update an existing epic
Delete Epic
Delete an epic

Features

Create Feature
Create a new feature
List Features
List all features
Get Feature
Get specific feature by ID or key
Update Feature
Update an existing feature
Delete Feature
Delete a feature

Goals

Create Goal
Create a new goal
List Goals
List all goals
Get Goal
Get specific goal by ID
Update Goal
Update an existing goal
Delete Goal
Delete a goal

Ideas

Create Idea
Create a new idea
List Ideas
List all ideas
Get Idea
Get specific idea by ID or key
Update Idea
Update an existing idea
Delete Idea
Delete an idea

Initiatives

Create Initiative
Create a new initiative
List Initiatives
List all initiatives
Get Initiative
Get specific initiative by ID or key
Update Initiative
Update an existing initiative
Delete Initiative
Delete an initiative

Products

Create Product
Create a new product
List Products
List all products in the account
Get Product
Get specific product by ID or key
Update Product
Update an existing product

Releases

Create Release
Create a new release
Get Release
Get specific release by ID or key
Update Release
Update an existing release
Delete Release
Delete a release

Requirements

Create Requirement
Create a new requirement
Get Requirement
Get specific requirement by ID
Update Requirement
Update an existing requirement
Delete Requirement
Delete a requirement

Tasks

Create Task
Create a new task
List Tasks
List all to-dos
Get Task
Get specific task by ID
Update Task
Update an existing task
Delete Task
Delete a task

Approvals

Create Approval
Create a new approval
List Approvals
List all approval tasks

Users

Create User
Create a new user in a product
List Users
List all users in the account
Get User
Get specific user by ID
Update User
Update an existing user

Other (40)

Create Comment For Feature
Add a comment to a feature
Create Comment For Epic
Add a comment to an epic
Create Comment For Idea
Add an internal comment to an idea
Create Comment For Goal
Add a comment to a goal
Create Comment For Release
Add a comment to a release
Create Comment For Requirement
Add a comment to a requirement
Create Comment For Initiative
Add a comment to an initiative
List Comments For Feature
List comments on a feature
List Comments For Epic
List comments on an epic
List Comments For Idea
List comments on an idea
List Comments For Requirement
List comments on a requirement
List Comments For Release
List comments on a release
List Comments For Goal
List comments on a goal
List Comments For Initiative
List comments on an initiative
List Epics In Product
List epics in a specific product
List Features In Release
List features in a specific release
List Features In Product
List features in a specific product
List Features In Epic
List features in a specific epic
List Goals In Product
List goals in a specific product
List Features Associated With Goal
List features linked to a goal
List Epics Associated With Goal
List epics linked to a goal
List Ideas In Product
List ideas for a specific product
List Initiatives In Product
List initiatives in a specific product
List Releases Associated With Goal
List releases associated with a goal
List Releases Associated With Initiative
List releases associated with an initiative
List Releases In Product
List releases in a specific product
List Requirements For Feature
List requirements for a feature
List Tasks For Feature
List tasks associated with a feature
Get Current User
Retrieve the current user profile information
List User's Product Roles
List a user's product roles
Update Epic Tags
Update tags for an epic
Update Epic Progress
Update progress percentage for an epic
Update Feature Tags
Update tags for a feature
Move Feature To Release
Move a feature to a different release
Update Goal Progress
Update progress for a goal
Update Release Progress
Update progress percentage for a release
Update Task Status
Update a task's status
Update Approval Status
Update an approval's status
Delete User Product Role
Delete a user's product role
Promote Idea
Promote an idea to feature, epic, initiative, or requirement

Set Up Your Aha! MCP Server in Minutes

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

MCP Clients

Agent Frameworks

Claude Desktop-

JSON

Claude Desktop Docs

{
  "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>"
      ]
    }
  }
}

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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

Aha! MCP Server FAQ

Does StackOne have a Aha! MCP server?

Yes. StackOne offers a hosted Aha! MCP server with 91 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.

Aha! MCP server vs direct API integration — what's the difference?

A Aha! MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Aha!. A Aha! 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 Aha! at runtime. StackOne provides both.

How does Aha! authentication work for AI agents?

Aha! 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 Aha! account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.

Are Aha! MCP tools vulnerable to prompt injection?

Yes — Aha! 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 Aha! agent and how do I avoid it?

Context bloat happens when Aha! tool schemas and API responses eat your Aha! agent's memory, preventing it from reasoning effectively. A single Aha! 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 Aha! agent can access?

Yes — you can limit which actions your Aha! 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 Aha! MCP server?

Yes — you can create custom agent actions for your Aha! MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Aha!'s API, generate production-ready connector YAML, test against the live API, and validate before you ship.

When should I NOT use a Aha! MCP server?

Skip a Aha! MCP server if your integration is purely software-to-software — direct Aha! 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 Aha! actions at runtime.

What AI frameworks and AI clients does the StackOne Aha! MCP server support?

The StackOne Aha! 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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Aha! MCP Serverfor AI Agents