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"Steam" matching MCP servers:

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    MCP server for Valve's Steam that enables querying game libraries, player profiles, achievements, friends, store listings, Workshop items, and current player counts. Provides 14 tools across 5 categories with a React dashboard and REST bridge.
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    MIT
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    A read-only Model Context Protocol server for Valve's public Steam Web API and storefront. Ask about your friends and games, playtime and achievements, plus account-independent things like sales, reviews, live player counts, Steam Deck compatibility, discovery, and recommendations — bring your own free Steam API key.
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    Model Context Protocol server for Steam Launch Forecaster, exposing calibrated revenue cones (P10–P90) and other tools to AI agents for Steam game revenue forecasting and analysis.
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    MIT
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    Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
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    MIT
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    MCP server for bottle-cap CAD workflow, providing tools for generating precise caps, filling holes, repairing meshes, and generating visual meshes via CadQuery, PyMeshLab, and the Meshy API.
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    MCP server for M-Team that enables seed search, detail viewing, and .torrent file download through standard stdio MCP, designed for Hermes Agent.
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    MIT
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    Enables privacy-respecting web searches through SearXNG metasearch engine with customizable parameters like language, time range, categories, and engines. Supports safe search levels, pagination control, and basic authentication for secure search operations.
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    Connects AI developer tools to the Glitch Agent service for game marketing tasks such as Steam analysis, influencer outreach, PR planning, and approval workflows.
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    A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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    Enables users to leverage a team of specialized AI agent personas like Business Analysts and Product Managers through a unified interface across multiple LLM providers. It streamlines agile development workflows by providing tools for model discovery, unified prompt delivery, and role-specific decision making.
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    MIT