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    x402 capability chassis: 170+ AI-callable, pay-per-call data tools (US/global equities, crypto/DeFi, prediction markets, gov/legal, research, infra) settled in USDC on Base mainnet via the Coinbase CDP facilitator. No API keys or accounts — the x402 payment is the auth. Remote MCP at https://the-stall.intuitek.ai/mcp.
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    MIT
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    Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe
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    MIT
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    Enables AI agents to browse, search, and retrieve papers from a local research library with read-only access, supporting multiple formats and automatic indexing.
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    MIT
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    Provides access to global rocket launch data, including upcoming and historical launches, launch details, space agencies, astronauts, events, and expeditions, enabling natural language queries about space activities.
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    MIT
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    A Cloudflare Workers-based wrapper that normalizes NYCU Library MCP server responses into Markdown and structured content, ensuring any MCP-compatible AI workspace receives complete item-level data for catalog searches and account queries.
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    Enables AI assistants to access authenticated academic databases via browser sessions, eliminating re-login and password exposure.
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    Enables querying a curated reverse engineering knowledge base covering techniques, anti-analysis bypass, mobile internals, and tools via MCP clients like Claude or Cursor.
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    Enables users to search and retrieve research datasets via natural language queries, with tools for proposing and committing tag changes. Includes robust authorization, idempotent mutations, and an audit trail.
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    Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.
    5
    MIT
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    Enables AI agents to query historical market context data from the Konseki API, returning raw JSON for analysis.
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    MIT
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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
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    MIT
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    Seven remote MCP servers exposing 51 published Apify scrapers as agent tools: company diligence, social listening, recruiting, real estate, lead generation, e-commerce and academic research. Billed per result, and a call that returns nothing is never charged.
    MIT