Beekeeper MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Beekeeper through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Beekeeper and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"beekeeper": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Beekeeper MCP Server
Connect your Beekeeper account to any AI agent and streamline your internal communications and frontline management through natural conversation.
Windsurf's Cascade agent chains multiple Beekeeper tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- User & Group Management — List all employees and groups to maintain an organized organizational structure.
- Stream & Post Control — Manage communication channels (streams) and publish updates to keep everyone informed.
- Direct Messaging — Send messages and retrieve conversation histories to facilitate instant communication.
- Tenant Insights — Access tenant information and system metadata for administrative oversight.
- Advanced Search — Quickly find specific users by name or email to coordinate efforts effectively.
The Beekeeper MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Beekeeper to Windsurf via MCP
Follow these steps to integrate the Beekeeper MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Beekeeper
Open Cascade and ask: "Using Beekeeper, help me...". 10 tools available
Why Use Windsurf with the Beekeeper MCP Server
Windsurf provides unique advantages when paired with Beekeeper through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Beekeeper + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Beekeeper MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Beekeeper and generate models, types, or handlers based on real API responses
Live debugging: query Beekeeper tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Beekeeper and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Beekeeper data with Cascade's code generation to scaffold entire features in minutes
Beekeeper MCP Tools for Windsurf (10)
These 10 tools become available when you connect Beekeeper to Windsurf via MCP:
create_post
Create a new post in a stream
get_tenant_info
Retrieve Beekeeper tenant information
get_user
Get details of a specific user
list_groups
List Beekeeper groups
list_messages
List messages in a conversation
list_posts
List posts in a specific stream
list_streams
List Beekeeper streams (channels)
list_users
List all Beekeeper users
search_users
Search for users by name or email
send_message
Send a direct message to a user
Example Prompts for Beekeeper in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Beekeeper immediately.
"List all active communication streams on Beekeeper."
"Post to stream str_2: 'Reminder: New safety protocols start tomorrow morning.'"
"Find the user ID for 'Sarah Miller'."
Troubleshooting Beekeeper MCP Server with Windsurf
Common issues when connecting Beekeeper to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Beekeeper + Windsurf FAQ
Common questions about integrating Beekeeper MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Beekeeper with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Beekeeper to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.