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    Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency.
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    Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.
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    Customer lists of B2B software: every company using a technology (HubSpot, Stripe, Zendesk and 4,000+ more), with the evidence and date for each detection, and the new customers every week. Hosted remote server at https://mcp.useagentdata.com/mcp; it connects with your AgentData account (sign in, or paste an API key). Website: https://useagentdata.com
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    Native C# Model Context Protocol (MCP) server for Godot Engine. Connects AI coding assistants (Claude, Cursor, Copilot, VS Code, etc.) directly to your running Godot editor.
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    A high-performance persistent memory layer for AI agents with multi-modal support, 47 retrieval channels, and 50-tier guardian chains, integrating 12+ memory approaches into a unified architecture.
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    A time MCP server that provides real current time and recency checks to prevent AI temporal hallucinations.
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    Enables AI agents to create, retrieve, update, delete, and export CVs as PDFs through MCP, sharing documents with the web editor.
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    A demonstration server for ModelContextProtocol that provides weather tools and prompts for Claude AI, allowing LLMs to access external data without manual copying.
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    MIT
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    Enables football data access through API-Football, including fixtures, live scores, standings, team and player statistics, lineups, events, transfers, injuries, odds, predictions, and public football news, with caching and rate-limit controls using a user-supplied API-Football key.
    MIT
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    A serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.
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    An MCP server that provides agentic vision capabilities for visual regression testing by capturing and comparing screenshots using Gemini Flash. It enables users to detect UI changes and conduct conversational investigations to distinguish between intended and unintended visual modifications.
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