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Beekeeper MCP. Manage users, streams, and messages directly from your agent.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Beekeeper MCP on Cursor AI Code Editor MCP Client Beekeeper MCP on Claude Desktop App MCP Integration Beekeeper MCP on OpenAI Agents SDK MCP Compatible Beekeeper MCP on Visual Studio Code MCP Extension Client Beekeeper MCP on GitHub Copilot AI Agent MCP Integration Beekeeper MCP on Google Gemini AI MCP Integration Beekeeper MCP on Lovable AI Development MCP Client Beekeeper MCP on Mistral AI Agents MCP Compatible Beekeeper MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Beekeeper. Connect your internal communication system to your AI agent to manage users, groups, and posts. Use tools like `list_users` and `search_users` to find employee details, or `create_post` to broadcast updates to specific communication streams.

It lets your AI agent handle all your frontline management tasks directly from chat.

What your AI agents can do

Create post

Publishes new content to a specified communication stream.

Get tenant info

Pulls administrative information about your Beekeeper tenant.

Get user

Retrieves the full profile details for a single, specific user.

+ 7 more capabilities included
Get User and Group Roster

List all employees and organizational groups so your agent can map out the company structure.

Send Targeted Communications

Send direct messages or create posts to specific communication streams to ensure the right people get the message.

Find Specific Employees

Search for users by name or email address to quickly get their profile details.

Review Communication History

Retrieve a list of posts from a stream or messages within a conversation to maintain records.

View System Metadata

Access tenant and system information to confirm administrative settings.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

Beekeeper MCP Server: 10 Tools for Communications

Use these tools to interact with your Beekeeper account. Your agent can read user rosters, publish posts, and manage messages across your organization.

create019d755a

create post

Publishes new content to a specified communication stream.

get019d755a

get tenant info

Pulls administrative information about your Beekeeper tenant.

get019d755a

get user

Retrieves the full profile details for a single, specific user.

list019d755a

list groups

Lists all the defined organizational groups within Beekeeper.

list019d755a

list messages

Gets a list of messages that occurred in a specific conversation thread.

list019d755a

list posts

Retrieves all published content from a specific communication stream.

list019d755a

list streams

Lists all active communication channels (streams) available in your organization.

list019d755a

list users

Provides a complete list of every user account in Beekeeper.

search019d755a

search users

Finds user accounts using name or email criteria.

send019d755a

send message

Sends a direct, private message to a single user.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Beekeeper, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

This server lets your AI agent handle all your internal comms and user management right from chat. You'll use it to manage groups, find employees, and post updates, acting like your own comms coordinator. You can pull all the company structure info by running list_groups to see every defined organizational group.

You'll get a complete list of every user account with list_users or pinpoint a specific person's profile details using get_user if you know their ID. If you just know a name or email, you can find that user's account with search_users. You can send a direct, private message to any single user using send_message.

To broadcast updates, you'll use create_post to publish new content to a specific communication stream. You can list every active communication channel available in your organization by calling list_streams. If you need to see what's been posted, list_posts gets all published content from a specific stream. To review a conversation, list_messages pulls a list of messages that happened in a specific thread.

You can access system admin info with get_tenant_info to check your tenant's administrative settings. You'll also get a list of all published posts by running list_posts.

How Beekeeper MCP Works

  1. 1 First, subscribe to the server and enter your Beekeeper Subdomain and API Token.
  2. 2 Second, your AI client uses natural language to invoke a tool, for example, asking the agent to list all users.
  3. 3 Third, the server executes the tool, retrieves the data, and sends the structured list of users back to your agent for the final response.

The bottom line is: your agent talks to Beekeeper, and Beekeeper gives the agent the data.

Who Is Beekeeper MCP For?

The HR Manager who needs a full employee roster without opening multiple dashboards. The Operations Lead who has to send urgent, company-wide announcements. The Internal Communications Specialist who needs to monitor message activity across different departments.

HR Manager

Uses list_users and search_users to quickly pull employee contact details or verify group membership for onboarding.

Operations Lead

Uses create_post to instantly publish urgent updates to a critical 'Operations Updates' stream.

Internal Communicator

Uses list_streams and list_messages to check engagement levels and monitor conversations across various organizational channels.

What Changes When You Connect

  • Find specific people instantly. Instead of manually searching through employee directories, use search_users to pinpoint a user by name or email, getting their details right away.
  • Control all communications from one place. Use create_post to broadcast an announcement to a specific stream, or send_message to handle private follow-ups, all without leaving your agent interface.
  • Map out your entire organization. Run list_users and then list_groups to get a full roster and understand the structural relationships between departments.
  • Never miss an update. Use list_posts or list_messages to retrieve the full history of a stream or a conversation, keeping records organized and accessible.
  • Check system health easily. Call get_tenant_info to confirm your account details and administrative settings are correct without diving into the web interface.

Real-World Use Cases

01

Need to update safety protocols across the company

The Ops Lead needs to get a critical update out immediately. They ask their agent to 'Post a notice about the new safety protocol to the Operations Stream.' The agent calls create_post, and the message goes live to everyone in that stream.

02

Need to onboard a new hire and verify contact info

The HR Manager needs the contact details for a new employee, Jane Doe. They ask the agent to 'Find the user details for Jane Doe.' The agent calls search_users and returns Jane's full profile.

03

Need to track a complex project conversation

The Internal Communicator needs to see what was discussed last week in the 'Project Phoenix' channel. They ask the agent to 'List messages in the Project Phoenix stream.' The agent calls list_messages and returns the conversation history.

04

Need to find out who is in a specific team

The Manager needs to know which teams are structured in the company. They ask the agent to 'List all organizational groups.' The agent calls list_groups, providing an immediate structural overview.

The Tradeoffs

Trying to find a person's details

Manually checking the employee directory, remembering the name, and hoping the user is active in the right group. This takes 5-10 minutes of clicking and searching.

Use search_users and provide the name or email to your agent. It runs the query and returns the exact user details in seconds.

Broadcasting to all users at once

Writing a message and hitting 'Send' hoping everyone sees it. If the wrong channel is selected, the message fails to reach key people.

Use create_post and specify the exact stream ID. The agent handles the targeting, ensuring the message goes only to the right channel.

Reviewing an entire channel's history

Opening the stream, scrolling back days, and copying chunks of text to review a conversation. You lose context and it's painful.

Use list_messages or list_posts and specify the date range or conversation ID. The agent retrieves the data cleanly and gives you a structured summary.

When It Fits, When It Doesn't

Use this server if your primary need is managing internal communication, user rosters, and group structures. You need your AI agent to act as a comms admin or HR assistant. Don't use it if you just need to read a single document or manage personal tasks. For those, stick to file-based or calendar-type tools. If you need to know who is related to what (e.g., 'Show me all posts made by users in the Sales group'), you'll need to string together list_groups, list_users, and list_posts in a complex workflow. The server is built for coordination, not deep content analysis.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beekeeper. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_post get_tenant_info get_user list_groups list_messages list_posts list_streams list_users search_users send_message

Finding a single employee's contact info shouldn't require opening three different tabs.

Today, finding a contact is a messy process. You start in the company directory, find the name, copy the email, then open the chat app, and finally paste it in. You're wasting time jumping between systems just to talk to one person.

With this MCP server, you just ask your agent: 'Get the user details for John Smith.' The agent calls `search_users`, pulls the data, and hands you the clean profile instantly. No clicks, no copy-pasting.

Use the Beekeeper MCP Server to manage communication history and posts.

Instead of manually scrolling through a stream or searching through messages in the web app, you tell your agent what you need. You might say, 'What were the key decisions made about Project X last week?' The agent runs `list_posts` and `list_messages` and compiles the answers for you.

You stop manually managing communication records. The data just appears, structured and ready to use.

Common Questions About Beekeeper MCP

How do I use the `search_users` tool with Beekeeper? +

You provide the agent with the name or email of the user. The agent uses search_users and returns a list of matching profiles. If it finds multiple, you'll need to specify which one you mean.

Can I use `create_post` to send a private message? +

No. Use send_message for private communication. create_post is only for broadcasting updates to a visible, shared stream.

What is the difference between `list_posts` and `list_messages`? +

A list_posts call gets the main updates from a channel. A list_messages call gets the actual back-and-forth conversation history within a specific thread.

How do I get all users in the company? +

Call list_users. This tool fetches the complete roster of every user account in Beekeeper.

What does the `get_tenant_info` tool retrieve about the Beekeeper environment? +

It retrieves metadata about your entire Beekeeper account. This includes system details and tenant-specific information you need for administrative oversight.

If I use `send_message`, how do I handle conversations with a user who doesn't exist? +

The tool requires a valid User ID. If the ID is wrong, the API returns a specific error code detailing the invalid user. You'll need to use search_users first.

Can I list all communication streams using `list_streams`? +

Yes, list_streams pulls a list of all active channels. The output provides the stream name and its unique ID, which you need for posting updates.

Do I need to run `list_users` before using `search_users`? +

No. search_users operates independently and lets you search directly by name or email. It's faster than pulling the entire user list with list_users.

Can I publish an urgent announcement to a specific stream from the agent? +

Yes! Use the create_post action with the target Stream ID and your announcement text. Your agent will post it to Beekeeper instantly.

How do I find an employee's contact details quickly? +

Simply ask the agent to search_users with the person's name. It will return matching profiles including their user IDs and other public metadata.

Is it possible to send a direct message to a user via the agent? +

Yes. Use the send_message tool with the Recipient User ID and your message text to facilitate direct communication through the agent.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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