Flowteller API MCP Server
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Flowteller API MCP Serversearch for trips from New York to London next week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Flowteller API MCP Server
This is an MCP (Model Context Protocol) server for the Flowteller API. It allows AI clients (like Claude Desktop) to natively interact with the Flowteller backend to search for trips, find locations, and manage bookings.
Installation & Setup for Claude Desktop
Because this project is hosted publicly on GitHub, you do not need to clone it to your computer! You can run it directly using uvx.
Install
uv(if you haven't already):curl -LsSf https://astral.sh/uv/install.sh | shConfigure Claude Desktop: Open your Claude Desktop configuration file:
Mac:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Add the following configuration, inserting your actual API key:
{ "mcpServers": { "flowteller": { "command": "uv", "args": [ "--directory", "/Users/whoisladleo/Work/flowteller/mcp", "run", "flowteller-mcp" ], "env": { "FLOWTELLER_API_URL": "http://localhost:8000/api", "FLOWTELLER_MCP_API_KEY": "your_secure_mcp_api_key_here" } } } }
3. **Restart Claude Desktop.** You should now see the Flowteller tools and prompts available!
## Testing Locally (Inspector)
If you are developing or modifying the code locally, you can use the interactive MCP Inspector UI:
```bash
npx @modelcontextprotocol/inspector uv run app/server.pyThis server cannot be installed
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