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    Historical Polymarket order book depth — full L2 bid/ask ladders at 1-second resolution on resolved markets, plus prices, spread and liquidity. Polymarket archives no order book history, so this serves depth captured live.
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    17 npm
    MIT
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    An AI music production and mixing partner for Ableton Live via MCP. Program expressive MIDI clips, design synth parameters, shape automation curves, arrange on the timeline, and mix tracks with real-time verified feedback.
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    AGPL 3.0
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    Enables access to historical Polymarket order book depth, with full L2 bid and ask ladders at 1-second resolution and resolved outcomes, for use in MCP clients like Claude and Cursor.
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    17 npm
    MIT
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    Exposes Steam Web API tools as MCP resources for Claude Code, Claude Desktop, and Gemini CLI, enabling profile lookups, game searches, achievement tracking, and more.
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    This MCP server enables AI agents to search and retrieve exact, cited passages from a large corpus of public-domain books, including full-text search, book metadata, chapters, quotes, and 'ask book' Q&A. Payments are handled via x402 micropayments on Base.
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    26 npm
    MIT
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    Live verifiable on-chain data for the $BOBAI token on BNB Chain: price computed from pair reserves × Chainlink (no price API), liquidity depth with LP-burn proof, buyback-and-burn audit trail, and fee-on-transfer-safe trade params. 13 read-only tools + 2 guided prompts, no API key.
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    MIT
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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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    Order food on DoorDash — search stores, compare real fee-included totals from live quotes, and build carts; placing an order always requires a human approval dialog (fail closed without elicitation). Local macOS server driving DoorDash's official dd-cli.
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    MIT
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    Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.
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    Enables AI agents to access real-time market data, order book depth, positions, orders, trades, and order routing from the ATAS platform through the Model Context Protocol.
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    MCP server to query Polymarket prediction market data via The Graph subgraphs and REST APIs, enabling AI agents to search markets, get live prices, order books, on-chain analytics, and trader profiles.
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    63 npm
    MIT