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"How to create and edit edge functions on Supabase" matching MCP servers:

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    PT-Edge gives AI assistants live intelligence on the AI ecosystem — 47 tools to search 11K+ GitHub repos, 18K+ HuggingFace models, 42K+ datasets, and 2,500+ public APIs, plus trend analysis, project comparison, and community discourse tracking across Hacker News and V2EX.
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    MIT
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    A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.
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    A Model Context Protocol server that integrates with Microsoft's Edit tool, allowing AI systems to perform file operations from simple reads/writes to complex code editing and refactoring.
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    Connects Supabase projects to AI assistants, enabling them to manage database tables, execute SQL queries, and deploy Edge Functions through natural language. It provides a comprehensive suite of tools for project administration, including logs access, documentation search, and environment configuration.
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    Apache 2.0
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    A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.
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    MIT
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    A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.
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    Real-time prediction market consensus data for AI agents. Aggregates probabilities from 27,000+ markets across politics, sports, and economics with 14-second updates. Tools: get_markets, get_consensus, get_movers, get_divergences, search_markets.
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    MIT
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    Provides calibrated weather probability signals for Kalshi prediction markets by combining dual-model forecasting (NWS + GFS ensemble) to identify mispriced temperature markets. Enables AI agents to access bias-corrected forecasts and edge signals for weather prediction market intelligence.
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    MIT
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    A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
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    Enables querying Supabase databases and generating TypeScript types through the Model Context Protocol interface, supporting features like schema selection, column filtering, and pagination.
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