ZenHub MCP Server for Windsurf 8 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect ZenHub 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 ZenHub and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"zenhub": {
"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 ZenHub MCP Server
Connect your ZenHub account to any AI agent to streamline your agile project management on GitHub. This MCP server enables your agent to interact with pipelines, issues, estimates, and epics directly from natural language.
Windsurf's Cascade agent chains multiple ZenHub tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Board Visibility — List all pipelines and issues for specific GitHub repositories or ZenHub workspaces
- Agile Status Management — Move issues between pipelines to update their workflow status instantly
- Precision Estimating — Set and retrieve story point estimates for any GitHub issue
- Epic Oversight — List and inspect ZenHub epics and their constituent issues
- Release Tracking — Access release reports and progress metadata for your projects
The ZenHub MCP Server exposes 8 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 ZenHub to Windsurf via MCP
Follow these steps to integrate the ZenHub 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 ZenHub
Open Cascade and ask: "Using ZenHub, help me...". 8 tools available
Why Use Windsurf with the ZenHub MCP Server
Windsurf provides unique advantages when paired with ZenHub 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 8 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
ZenHub + Windsurf Use Cases
Practical scenarios where Windsurf combined with the ZenHub MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from ZenHub and generate models, types, or handlers based on real API responses
Live debugging: query ZenHub tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from ZenHub and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine ZenHub data with Cascade's code generation to scaffold entire features in minutes
ZenHub MCP Tools for Windsurf (8)
These 8 tools become available when you connect ZenHub to Windsurf via MCP:
get_epic_data
Get details for a specific epic
get_repo_board
Get the ZenHub board for a repository
get_workspace_board
Get the ZenHub board for a specific workspace and repository
get_zenhub_issue_data
Get ZenHub-specific metadata for a GitHub issue
list_release_reports
List release reports for a repository
list_repo_epics
List all ZenHub epics for a repository
move_issue_between_pipelines
Move an issue to a different pipeline
set_issue_estimate
Set the story point estimate for an issue
Example Prompts for ZenHub in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with ZenHub immediately.
"Show me the ZenHub board for repository ID '12345678'."
"Move issue #45 in repo '12345678' to the 'In Progress' pipeline (ID: '56789') in workspace '98765'."
"What are the estimates for all issues in the current epic?"
Troubleshooting ZenHub MCP Server with Windsurf
Common issues when connecting ZenHub to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
ZenHub + Windsurf FAQ
Common questions about integrating ZenHub 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 ZenHub 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 ZenHub to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
