"LinkedIn company profile pages" matching MCP servers:

MCP server for the Concept2 Logbook API, enabling user profile management, workout result operations, and challenge queries.

Integrates iRacing with the Model Context Protocol to retrieve profile statistics and iRating charts for any category.

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

MCP server exposing ProCyclingStats teams, riders, and races data by scraping site pages, enabling custom rankings and historical result analysis.

Four utilities in one server: PDF text, ruled tables and OCR from a URL as pages, documents or RAG chunks; YouTube thumbnail URLs and files with per-size availability; sports scores, schedules and standings across 33 leagues; and ATP/WTA tennis with per-set scores and draws.

A read-only local MCP server for querying your own Strava data from Codex, providing tools for activities, athlete profile, stats, gear, and more.

Enables AI assistants to answer tennis tactical questions using shot-by-shot charted match data, producing game plans, serve and return tendencies, scouting reports, match forecasts, and explanations of why a match turned. Exposes read-only tools for player reports, head-to-head game plans, match breakdowns, and tactical leaderboards, each with confidence margins and links to full pages.

Enables AI agents and terminal users to search players and tournaments, read tournament pages as structured data, and retrieve Austrian championship leagues without login. Also supports checking and, after confirmation, entering team match reports against club rosters and the public results site.

Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.

A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.

Enables AI assistants like Claude to read a single user's own Strava account through its API: profile and totals, activities with laps, splits, zones and per-second streams, plus segments, routes, gear and clubs. It is strictly read-only, using the user's own Strava API application and OAuth tokens stored locally, and returns model-friendly, context-sized data.

Provides read-only access to an Abler account's profile, groups, and sports schedules through MCP tools, including per-child schedule reports and individual event lookups. Uses a portable, reusable session credential so it can run headlessly on a remote machine after a one-time browser sign-in.

Connects Claude to the Codeforces public API, enabling retrieval of user submissions, profile info, rating history, contest standings, contest status, and contest lists through natural language.