Airfocus MCP Server
Pricing
Pay per usage
Airfocus MCP Server
Connect your AI assistant to Airfocus - the modular product management platform. This MCP server enables AI tools to read, search, and manage items across your Airfocus workspaces.
Pricing
Pay per usage
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Filip Cicvárek
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17 days ago
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Connect your AI assistant to Airfocus - the modular product management platform. This MCP server enables AI tools to read, search, and manage items across your Airfocus workspaces.
Why Use This?
For Product Managers:
- Ask your AI to summarize items across workspaces
- Quickly search for features, feedback, or opportunities using natural language
- Create and update items without leaving your AI chat
- Get instant answers about your product backlog
For Teams:
- Automate routine product management tasks
- Generate reports and insights from your Airfocus data
- Streamline workflows between AI tools and Airfocus
Use Cases
| Use Case | Example Prompt |
|---|---|
| Backlog overview | "List all items in the Solutions workspace" |
| Search & filter | "Find all items created this month with status 'In Development'" |
| Quick capture | "Create a new feedback item titled 'Mobile app crashes on login'" |
| Status updates | "Update item X to status 'Done'" |
| Cross-workspace search | "Search for anything related to 'authentication' across all workspaces" |
Available Tools
| Tool | Description |
|---|---|
list_workspaces | List all accessible Airfocus workspaces |
get_workspace | Get details of a specific workspace |
get_item | Get a single item by ID |
list_items | List items in a workspace with pagination |
search_items | Advanced search with filters, sorting, and pagination |
create_item | Create a new item (title, description, status) |
update_item | Update an existing item |
delete_item | Delete an item |
Search Capabilities
The search_items tool supports:
- Text search: Search in item title and description
- Status filter: Filter by status name
- Date filters:
createdAfter,createdBefore,updatedAfter,updatedBefore - Sorting: Sort by
createdAt,updatedAt, ortitle - Pagination:
limit(1-100) andoffsetparameters
Setup
1. Get Your Airfocus API Key
- Open Airfocus and go to Account Settings > API keys
- Click Add API key
- Select required scopes and copy the key
2. Get Your Apify API Token
- Sign up at Apify
- Go to Settings > Integrations > API tokens
- Copy your API token
3. Configure Your AI Tool
Claude Desktop
Config file location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Claude Desktop requires the mcp-remote bridge for HTTP-based MCP servers. Add this configuration:
{"mcpServers": {"airfocus": {"command": "npx","args": ["mcp-remote","https://filip-cicvarek--airfocus-mcp-server.apify.actor/mcp","--header","Authorization: Bearer YOUR_APIFY_API_TOKEN","--header","x-airfocus-api-key: YOUR_AIRFOCUS_API_KEY"]}}}
After saving, restart Claude Desktop for changes to take effect.
Cursor
Config file location:
- macOS/Linux:
~/.cursor/mcp.json - Windows:
%USERPROFILE%\.cursor\mcp.json
Create the file if it doesn't exist and add:
{"mcpServers": {"airfocus": {"command": "npx","args": ["mcp-remote","https://filip-cicvarek--airfocus-mcp-server.apify.actor/mcp","--header","Authorization: Bearer YOUR_APIFY_API_TOKEN","--header","x-airfocus-api-key: YOUR_AIRFOCUS_API_KEY"]}}}
Restart Cursor after saving the configuration.
Windsurf
Config file location:
- macOS/Linux:
~/.codeium/windsurf/mcp_config.json - Windows:
%USERPROFILE%\.codeium\windsurf\mcp_config.json
Windsurf supports HTTP transport natively, so no bridge is required:
{"mcpServers": {"airfocus": {"serverUrl": "https://filip-cicvarek--airfocus-mcp-server.apify.actor/mcp","headers": {"Authorization": "Bearer YOUR_APIFY_API_TOKEN","x-airfocus-api-key": "YOUR_AIRFOCUS_API_KEY"}}}}
VS Code (GitHub Copilot)
Option 1: Workspace settings (.vscode/mcp.json in your project):
{"servers": {"airfocus": {"type": "http","url": "https://filip-cicvarek--airfocus-mcp-server.apify.actor/mcp","headers": {"Authorization": "Bearer YOUR_APIFY_API_TOKEN","x-airfocus-api-key": "YOUR_AIRFOCUS_API_KEY"}}}}
Option 2: User settings (via Command Palette > "Preferences: Open User Settings (JSON)"):
{"mcp": {"servers": {"airfocus": {"type": "http","url": "https://filip-cicvarek--airfocus-mcp-server.apify.actor/mcp","headers": {"Authorization": "Bearer YOUR_APIFY_API_TOKEN","x-airfocus-api-key": "YOUR_AIRFOCUS_API_KEY"}}}}}
Note: MCP support in VS Code requires GitHub Copilot with MCP enabled.
Other MCP-Compatible Tools
For any tool that supports the Model Context Protocol, use these connection details:
| Setting | Value |
|---|---|
| URL | https://filip-cicvarek--airfocus-mcp-server.apify.actor/mcp |
| Transport | Streamable HTTP |
| Headers | Authorization: Bearer YOUR_APIFY_TOKEN |
x-airfocus-api-key: YOUR_AIRFOCUS_KEY |
If your tool doesn't support HTTP transport directly, use the mcp-remote npm package as a bridge (see Claude Desktop/Cursor examples above).


