"Jass Card Game Information" matching MCP servers:

Predicts video game scores (0-100 scale, similar to Metacritic ratings) using machine learning based on game characteristics like price, release month, tags, genres, and platforms, trained on Steam game data.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.

Provides AI agents with direct access to KingsPlaybook's sports data including confirmed lineups, player projections, game lines, and pick history via native MCP tools.

Enables querying YouTube gaming opportunity rankings to answer 'what should I record?' by providing tools for top games, game breakdowns with AI video ideas, and live topic checks.

Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.

Enables AI agents to audit Steam store pages for algorithmic health, forecast sales cones with P10/P50/P90 scenarios, and retrieve genre benchmarks for indie game market analysis.

Cross-game market intelligence and currency conversion across six MMOs, enabling unified searches, portfolio tracking, and farming optimization via MCP.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Enables users to search and retrieve detailed pharmaceutical drug information from the Korea Pharmaceutical Information Center (KPIC) API. Supports drug name searches and detailed lookups by drug code including ingredients, usage, precautions, and storage information.

Enables local, offline ledger and replay operations for alpha research via five typed stdio tools, allowing status checks, report retrieval, method-card listing, replay execution, and run stopping without exposing live or submission capabilities.

A Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.

Enables analysis of American Express credit card statements with vendor unmasking, subscription detection, and fraud detection through natural language interaction via Claude Desktop.

CarVector is a Model Context Protocol server that gives AI agents real vehicle data — specifications and representative images, federal recall campaigns, and OBD-II DTC reference — instead of hallucinating them. Open-source client (npx -y carvector-mcp), authenticated with your own key; free tier, no credit card. Four tools: search_vehicles, get_vehicle, get_recalls, lookup_dtc.

Enables querying live cross-platform gaming market data — Steam players, Twitch/YouTube viewership, prices, discounts, hype, and the aggro metric — through 8 read-only tools for summaries, rankings, genre rollups, game details, and search.

Connects AI tools to Remapdb vehicle tuning data, enabling search and retrieval of manufacturers, models, engines, and tuning information.

Enables querying the gnomAD genome aggregation database for variant, gene, and region information.

Automated information about the v-sum community, events, and demos.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

MCP server for Interactive Brokers TWS API that enables AI assistants to retrieve portfolio, account information, and real-time market prices.

Portfolio & trading-strategy stress diagnostics for AI agents: multi-asset stress with hedge-break detection, a daily preregistered regime outlook and deflated-Sharpe backtest-integrity checks. Remote streamable-HTTP endpoint with a free tier (no key); this repo is the public server card.