"Using local LLMs for code writing, reviewing, and rule generation" matching MCP servers:

Enables read-only search and lookup of US youth sports clubs and local sports stores, including registration windows, fees, tryouts, contacts, addresses, and brands, plus link generation for claiming or correcting listings.

Provides 28 MCP tools to query KBO baseball data, including player stats, pitch arsenal, zone charts, usage patterns, and trend reports using a SQLite database.

Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Provides access to French Roller Derby rules documentation, enabling search across sections, retrieval of specific rule sections (game parameters, scoring, penalties, officiating), and browsing the complete rulebook.

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 discovering public sports events without sign-in and, after OAuth consent, reviewing athlete activity, operating events, and analyzing box demand, occupancy, attendance, training load, and reports through Antigravity or Gemini CLI.

Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.

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

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

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.

Enables users to query WHOOP recovery, sleep, HRV, strain, workouts, and personal health analytics in natural language through MCP clients such as Claude, Codex, and GitHub Copilot. It also provides read-only tools, resources, prompts, and local performance dashboards for reviewing trends and readiness evidence.

Enables Claude, Codex, and GitHub Copilot to query WHOOP recovery, sleep, HRV, strain, and workout data read-only, with personal baselines, trends, and HYROX/triathlon race analysis tools. Also provides a local chart-first dashboard for reviewing sessions, readiness, and audit corrections.

Enables Claude Desktop, Claude Code, and Codex to answer natural-language questions about EA FC esports match history, including head-to-heads, market hit rates, player form, custom rule back-tests, and CSV exports.

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

Bridges local stdio MCP clients like Codex and OpenCode to Strava's official MCP endpoint, enabling Strava data access via imported OAuth credentials from Claude Code without a developer app.

Read-only MCP server for reviewing completed public Lichess games, providing tools to fetch a game or list recent completed games with strict safety and cost boundaries.

Enables MCP clients to search, retrieve, and list citable sections of the official NBA rulebook, so natural-language questions can be answered with grounded rule citations.