"A server to help LLMs with planning using an MCP framework" matching MCP servers:

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables AI assistants to analyze Fantasy Premier League data, providing tools for player search, fixture analysis, manager comparisons, and strategy prompts for transfer planning and lineup selection.

Exposes the Camptocamp.org API to LLMs, enabling querying of alpine routes, summit altitudes, and course descriptions with reliable data to avoid hallucinations.

Connects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.

Enables AI assistants to read and analyze athlete training data, including fitness summaries, activities, and profiles, to help plan training.

Enables users to interact with Komoot for managing tours, planning routes, exporting GPX/FIT, and accessing highlights and user profile.

Provides MCP-compatible LLMs with read-only access to normalized ESPN Fantasy Football league snapshots, team rosters, and free-agent data.

Exposes 50 tools that let an existing AI agent act as a fantasy basketball general manager over a local deterministic engine, covering player valuation, projections, matchup simulations, lineup and IL planning, streaming, waivers, trades, and drafts. It returns insights, recommendations, and reviewer-checked proposals for the user to approve and execute in Yahoo themselves, without ever writing to the league.

FastMCP server for Dota 2 match analysis using replay files and OpenDota API, with built-in coaching instructions for LLMs.

Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.

Enables AI agents to work with events, moments, places, and live streams through the Sporfie API, and to answer support questions from the Sporfie Help Center.

An MCP server that enables LLMs to act as World Cup forecasting agents, pulling live odds, getting model forecasts, and simulating tournament brackets via natural language.

Turns official pickleball scoring rules into callable tools for LLMs to track live matches accurately.

Provides deterministic surf-window recommendations and explanations based on stored decisions, enabling safe surf planning through tool-backed evidence.

Connects LLMs to the Fantasy Premier League API for intelligent team management, enabling natural language player research, competitor analysis, transfer decisions, and strategic planning using friendly names instead of IDs.

An MCP server that analyzes upcoming weather at alpine peaks and trailheads worldwide, ranking the best windows for climbing and ascent using high-resolution forecast models.

MCP server for Strava integration, enabling LLMs to query activities, athlete stats, segments, routes, and perform training analysis.

An MCP server that equips AI assistants with 33 tools for Fantasy Premier League analytics, including fixtures, squad management, live scores, transfers, captaincy, and price movements, using async access to official FPL endpoints with TTL caching.

An MCP server that provides real-time surf intelligence, including wave quality scoring, beach discovery, session planning, and forecast analysis across 12+ global data sources. It turns AI assistants into surf-savvy copilots for finding the perfect wave.