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    Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.
    41
    42 PyPI
    58
    MIT
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    An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.
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    1
    MIT
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    Enables LM Studio Bionic to perform multimodal image search and tagging by bridging to a local Find Images MCP server, including preview download and scratchpad registration for further editing or processing.
    2
    MIT
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    MCP server to read X (Twitter) posts, threads, replies, quotes, and search using your own logged-in session, no API key required.
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    25 PyPI
    3
    MIT
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    An MCP server for accessing the Twitter/X Api45 API, allowing users to retrieve user profiles, timelines, followers, and media. It supports searching communities, jobs, and trends, while also providing tools to monitor live broadcasts and Twitter Spaces.
    28
    MIT
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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
    1
    28 PyPI
    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    17 PyPI
    29
    Apache 2.0
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    Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.
    7
    25 npm
    MIT
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    MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.
    10
    63 npm
    Apache 2.0
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.
    3
    MIT
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    Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.
    14
    275 PyPI
    Apache 2.0
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    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    22 PyPI
    2
    MIT