iflow-mcp_fastnai_fastn

# Unified Context Layer (UCL) MCP Gateway Unified Context Layer (UCL) is a multi-tenant Model Context Protocol (MCP) server that enables AI agents, automation platforms, and applications to connect to over 1,000 SaaS tools—such as Slack, Jira, Gmail, Shopify, Notion, and more—via a single standardized /command endpoint. UCL abstracts away SDK sprawl, glue code, and complex authentication flows, allowing developers to orchestrate context-rich, cross-platform integrations without building and maintaining separate connectors for each service. ## Features - **Integrated platform support** - Use services like Slack, Notion, HubSpot, and more through the Fastn server - **Flexible authentication** - Use either API key or tenant-based authentication - **Comprehensive logging** - Detailed logs for troubleshooting - **Error handling** - Robust error management for various scenarios ## Prerequisites - Python 3.10 or higher ## Installation Options ### Option 1: Package Installation (Recommended) The easiest way to install the UCL server is using pip: ```bash pip install fastn-mcp-server ``` To find the exact path of the installed command: - On macOS/Linux: `which fastn-mcp-server` - On Windows: `where fastn-mcp-server` ## After Package Installation ```bash { "mcpServers": { "fastn": { "command": "fastn-mcp-server", "args": [ "--api_key", "YOUR_API_KEY", "--space_id", "YOUR_WORKSPACE_ID" ] } } } ``` ### Option 2: Manual Setup ```bash # Clone repository and navigate to directory git clone <your-repo-url> && cd fastn-server # macOS/Linux: Install UV, create virtual environment, and install dependencies curl -LsSf https://astral.sh/uv/install.sh | sh && uv venv && source .venv/bin/activate && uv pip install -e . # Windows (PowerShell): Install UV, create a virtual environment, and install dependencies powershell -c "irm https://astral.sh/uv/install.ps1 | iex" && u…