"Rider" matching MCP servers:

Provides professional cycling data from ProCyclingStats, enabling race discovery, stage results, rider profiles, startlists, and free-text search through MCP tools.

The VanMoof MCP Server implements the MCP specification to create a seamless connection between AI agents and key VanMoof services like VanMoof customer data, including bike details, VanMoof rider cities, rider preferences and weekly rides.

Read-only MCP server for 1mg's logistics platform (Loki/Thor), enabling order, task, rider, hub, and day-tracking queries via the Thor API.

Compute and analyze bus route lateness using trip data, with drill-down and cross-referencing against rider complaints and operational logs.

Provides a local stdio server with tools for searching places, checking ride history and active ride status, listing payment methods, getting quotes, booking rides, and canceling active rides through a reverse-engineered Waymo rider API.

Enables agents to search places, get live fares and route previews, list payment methods, book rides, monitor ride and vehicle status, preview and confirm cancellations, and retrieve ride history for Tesla Robotaxi rider accounts.

Enables interaction with Fider customer feedback platforms, supporting post management, commenting, tagging, and status updates through natural language commands.

Allows Claude Code to offload AI coding tasks to Aider, reducing costs and enabling more control over which models handle specific coding tasks.

A Model Context Protocol server that connects Claude and other MCP clients to Aider, enabling AI assistants to efficiently edit files, create new files, and interact with git repositories through natural language.

Exposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.

Read-only MCP server providing 5 tools for hybrid search, clause retrieval, policy versioning, code lookup, and plan rider override queries over a synthetic medical-policy corpus.