Flow MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"flow": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Flow MCP Server
Connect your Flow account to any AI agent and automate your project management and team collaboration through the Model Context Protocol (MCP). Flow (getflow.com) provides a clean and powerful platform for organizing work, tracking task progress, and facilitating team discussions. Now, you can manage your workspaces, projects, and individual tasks directly through natural conversation.
GitHub Copilot Agent mode brings Flow data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Project Coordination — List all projects within your workspaces and retrieve detailed metadata, including ownership and due dates.
- Task Management — Create, update, and list tasks across workspaces, projects, or specific task lists. Change statuses (incomplete/completed) instantly.
- Organized Lists — Access and list task groups (Lists) within projects to maintain a clear hierarchy of work.
- Team Interaction — List all workspace members and teams, and participate in task discussions by reading or adding comments.
- Workspace Oversight — Get a high-level view of all the top-level workspaces you belong to.
- Real-time Updates — Fetch specific task details or metadata to keep your team informed and your projects on track.
The Flow MCP Server exposes 12 tools through the Vinkius. Connect it to VS Code Copilot 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 Flow to VS Code Copilot via MCP
Follow these steps to integrate the Flow MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Flow
Ask Copilot: "Using Flow, help me..." — 12 tools available
Why Use VS Code Copilot with the Flow MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Flow through the Model Context Protocol.
VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Flow + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Flow MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Flow MCP Tools for VS Code Copilot (12)
These 12 tools become available when you connect Flow to VS Code Copilot via MCP:
add_task_comment
Post a comment
create_task
Create a new task
get_project
Get project details
get_task
Get task details
list_projects
List projects in workspace
list_task_comments
List task discussions
list_task_lists
List lists in project
list_tasks
List tasks
list_workspace_members
List team members
list_workspace_teams
List workspace teams
list_workspaces
List top-level workspaces
update_task
). Update an existing task
Example Prompts for Flow in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Flow immediately.
"List all my Flow projects in the 'Marketing' workspace."
"Create a new task: 'Review final design mockup' in the 'Design' list."
"Add a comment to task 'task_123': 'Design looks great, proceed to coding'."
Troubleshooting Flow MCP Server with VS Code Copilot
Common issues when connecting Flow to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Flow + VS Code Copilot FAQ
Common questions about integrating Flow MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect Flow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Flow to VS Code Copilot
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
