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    A local-only MCP server that uses SQLite to store, search, and manage a personal library of AI prompts. It enables developers to organize and reuse prompts across multiple AI clients like Claude and Cursor while keeping all data on their local machine.
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    1
    MIT
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    Enables LLMs to extract content from websites using automated static and dynamic scraping engines with built-in anti-bot protections. It provides tools for web data retrieval and stores results in MongoDB with support for JSON and CSV exports.
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    A lightweight, fully local MCP server that provides AI coding tools with a shared SQLite memory store and built-in conflict arbitration, enabling structured memory sharing across tools like ZCode, Codex, Cursor, and Claude Code without external dependencies.
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    Apache 2.0
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    A Python web-scraping toolkit that exposes 22 tools for fetching structured web data (from any URL to search, finance, e-commerce, and reference sources) as validated JSON for AI agents.
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    MIT
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    Query SQL databases (SQLite, PostgreSQL, BigQuery, Databricks) in natural language through a business semantic layer — glossary, metrics, and a data dictionary grounded against your real schema. Read-only by default, with an embedded SQLite + sqlite-vec metadata store and no external infra required.
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    MIT
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    Exposes Kunobi's application data and store querying capabilities to AI assistants by bridging stdio to Kunobi's local HTTP MCP endpoint. It features dynamic tool discovery and automatic reconnection to ensure tools like query_store and app_info are always available when Kunobi is running.
    4
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    Apache 2.0
  • F
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    A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.
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    An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.
    4
    30
    MIT
  • F
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    A minimal MCP server that gives AI coding agents clean read and write access to Microsoft Dataverse environments via the Dataverse Web API v9.2. It works as a drop-in alternative to Microsoft's own MCP server, without requiring Copilot Credits or managed environments.
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    Enables AI agents to query, inspect, and manage Microsoft Dataverse records, metadata, schema, forms, views, and Power Platform environments via the Dataverse OData Web API.
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    MIT
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    Enables schema operations in Microsoft Dataverse using the Model Context Protocol, allowing users to create and manage tables, columns, relationships, and option sets through the Dataverse Web API.
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    MIT
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    A Model Context Protocol server that allows users to store, retrieve, update, and delete memories using SQLite storage.
    5
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    MIT