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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.

Use-Cases
Pricing
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Live 25 Actions

Beekeeper MCP Server
for AI Agents

Connect your AI agent to StackOne's Beekeeper MCP server and give it 25 MCP tools out of the box. Auth, tool execution, and security all managed.

Start Free Book Demo Read Docs →
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Beekeeper MCP Server
Built by StackOne StackOne
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Coverage

25 Agent Actions

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

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Beekeeper 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 Beekeeper call.

Tools Discovery →

What is the Beekeeper MCP Server?

A Beekeeper MCP server lets AI agents read and write Beekeeper data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Beekeeper MCP server ships with 25 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 Beekeeper MCP Tools

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

Comments

  • Create Comment

    Create a comment on a specific post

  • List Comments

    Return a list of comments from a specific post

  • Update Comment

    Edit an existing comment

  • Delete Comment

    Delete a comment with a given ID

Groups

  • Create Group

    Create a group

  • List Groups

    Get the list of groups

  • Get Group

    Get a group with the given ID

  • Update Group

    Update a group with given ID

  • Delete Group

    Delete a group with given ID

Posts

  • Create Post

    Creates a new post

  • List Posts

    Retrieves posts from all streams that the user has access to

  • Get Post

    Get a post with a given id

  • Update Post

    Update a post with a given id

  • Delete Post

    Delete a post with a given id

Streams

  • Create Stream

    Create a stream

  • List Streams

    Get the list of streams

  • Get Stream

    Get a stream via its ID

  • Update Stream

    Update a stream

  • Delete Stream

    Delete a stream with a specified ID

Stream Posts

  • List Stream Posts

    Retrieves posts from a given stream

Users

  • Create User

    Create the user

  • List Users

    List users

  • Update User

    Update the user

  • Delete User

    Delete the user

Authenticated Users

  • Get Authenticated User

    Get details of the currently authenticated user

Beekeeper AI Agent Use Cases

Connect your AI agent to Beekeeper and help your team scale the HR operations they run by hand today.

Employee Onboarding

Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.

View
WorkdayBambooHRPersonioHiBobGustoRipplingOkta360Learning
HR Policy Q&A Chatbot

Use StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.

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WorkdayBambooHRPersonioHiBobGustoRipplingSharePointConfluence
Employee Offboarding

Use StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.

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WorkdayBambooHRPersonioOktaServiceNowRipplingGustoJira
More HRIS & HCM use cases

Set Up Your Beekeeper MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Beekeeper 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 HRIS / HCM MCP Servers

UKG Ready

162+ actions

Workday (Rest and Soap)

128+ actions

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127+ actions

HiBob

123+ actions

Oracle Fusion HCM

121+ actions

Humaans

117+ actions

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111+ actions

All HRIS / HCM 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

Beekeeper MCP Server FAQ

Does StackOne have a Beekeeper MCP server?
Yes. StackOne offers a hosted Beekeeper MCP server with 25 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.
Beekeeper MCP server vs direct API integration — what's the difference?
A Beekeeper MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Beekeeper. A Beekeeper 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 Beekeeper at runtime. StackOne provides both.
How does Beekeeper authentication work for AI agents?
Beekeeper 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 Beekeeper account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Beekeeper MCP tools vulnerable to prompt injection?
Yes — Beekeeper 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 Beekeeper agent and how do I avoid it?
Context bloat happens when Beekeeper tool schemas and API responses eat your Beekeeper agent's memory, preventing it from reasoning effectively. A single Beekeeper 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 Beekeeper agent can access?
Yes — you can limit which actions your Beekeeper 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 Beekeeper MCP server?
Yes — you can create custom agent actions for your Beekeeper MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Beekeeper's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Beekeeper MCP server?
Skip a Beekeeper MCP server if your integration is purely software-to-software — direct Beekeeper 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 Beekeeper actions at runtime.
What AI frameworks and AI clients does the StackOne Beekeeper MCP server support?
The StackOne Beekeeper 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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