YouTube to LinkedIn MCP Server

This MCP addresses the visual recognition limitations of text-based models by enabling accurate image description and identification, making it excellent for AI-assisted reference design interface analysis. It currently supports dropping links into the dialog box or placing images in the project folder for recognition. The tool can be integrated with MCP platforms like Claude Code, Cline, and Trae. Beyond programming applications, it also provides visual recognition capabilities for models that lack native image processing functionality. For visual models, users can select their preferred model from ModelScope community and replace it during MCP configuration setup. 📱 Daily Use Cases: Send screenshots to directly identify errors or issues Share image links or place screenshots in the project folder for AI-assisted layout optimization Submit product image links to generate promotional copy 该mcp可以解决文字模型图片识别的视觉的问题，可以准确识别描述图片，用来给AI看参考设计界面很nice~ 目前支持丢链接到对话框，以及把图片放到项目文件夹进行识别。 支持加入到Claude Code，Cline和Trae等mcp工具中。 除了编程外，如果你使用的模型本身不支持视觉图片识别，也可以使用~ 视觉模型可以自己去魔搭社区选一个自己喜欢的，在填写mcp配置的时候替换即可 📱 日常使用场景 - 截图发过去，直接告诉哪里出错了 - 丢过去一个图片链接或者截图放到项目文件夹内，让AI帮忙优化布局 - 发个产品图链接，让AI写推广文案

An MCP server that indexes local code into a graph database to provide context to AI assistants.

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本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

Generect MCP connects your live lead database directly to AI models like OpenAI or Claude without exports or delays. It streams enriched, up-to-date contact data (titles, firmographics, signals) straight into prompts so LLMs can personalize, score, and recommend leads automatically in real time.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

MCP Advisor & Installation - Use the right MCP server for your needs

A Model Context Protocol (MCP) server for integrating with the Tomba.io API. This server provides comprehensive email discovery, verification, and enrichment capabilities through a standardized MCP interface. Features Tools (8 available) Domain Search: Find all email addresses associated with a domain Email Finder: Generate likely email addresses from names and domains Email Verifier: Verify email deliverability and check database presence Email Enrichment: Enrich emails with additional contact data Author Finder: Discover email addresses of article authors LinkedIn Finder: Find emails from LinkedIn profile URLs Phone Finder: Search phone numbers by email, domain, or LinkedIn Phone Validator: Validate phone numbers and check carrier info Resources (5 available) tomba://api/status - API status and account info tomba://domain/{domain} - Domain information tomba://email/{email} - Email information tomba://docs/api - API documentation tomba://docs/tools - Tools documentation Prompts (7 pre-built workflows) find_contact - Find complete contact info for a person verify_email_list - Batch verify email addresses research_company - Research company contacts and structure enrich_lead - Enrich a lead with all available data find_journalists - Find journalist contacts from articles finder_phone - Find phone numbers for contacts validate_phone - Validate a phone number Transport Options stdio - Standard input/output (default, for Claude Desktop) http - HTTP server with REST endpoints Installation Prerequisites Node.js 18 or higher npm or yarn Tomba API account (Sign up here)

An MCP Server for Overleaf Projects

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Remote MCP server for Google Drive and Sheets running on Cloudflare Workers with full OAuth 2.0 support. Production Ready ✅ | 11 Tools | OAuth 2.0 | PKCE | Global Edge Network Designed to run as a remote HTTP/SSE MCP server on Cloudflare's edge network with complete OAuth 2.0 authorization server capabilities.

Generate automated semantic models using data engineering agents and built data products on demand

MCP server for interacting with Neon Management API and databases

Intugle’s GenAI-powered open-source Python library builds a semantic data model over your existing data systems. At its core, it discovers meaningful links and relationships across data assets — enriching them with profiles, classifications, and business glossaries. With this connected knowledge layer, you can enable semantic search and auto-generate queries to create unified data products, making data integration and exploration faster, more accurate, and far less manual.

与AI对话就能生成帅气的井身结构示意图！这个工具基于 MCP (Model Context Protocol) 协议，将井数据字典转化为井身结构示意图PNG高清图片。 由西南石油大学钻井所，何世明——汤明实验室团体提供技术支持。 问题反馈：1873475824@qq.com（陈春钱）

GitLab API, enabling project management

A Model Context Protocol (MCP) server that allows you to manage your daily routine TickTick tasks with LLMs!

Let your LLM find the right tool automatically – no manual setup for each tool! MCPIndex is a Model Context Protocol (MCP) server that enables LLMs to automatically discover and invoke suitable MCP tools, eliminating the need to manually find and configure suitable MCP tools for every task.

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Olostep MCP Server provides web scraping, crawling, content extraction, and search capabilities through the Olostep API. It's the most reliable and cost-effective on the market. It allows you to extract clean markdown content from web pages (with JavaScript rendering support), discover and map website URLs sorted by relevance, and retrieve structured Google search results including organic results, knowledge graphs, and related questions. The server supports country-specific routing for geo-targeted content and configurable wait times for JavaScript-heavy websites.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Agentic Long Term Memory based on a proprietary pattern engine. Faster recall than vector databases and more deterministic.

CALILl Library MCP is a remote MCP server that enables library collection searches across Japan. It provides direct access to holdings from over 7,400 libraries nationwide through a unified interface from major AI assistants such as Claude, ChatGPT, and VS Code. The MCP server provides three main tools: search_books (Library Collection Search) Cross-library search across multiple library systems (up to 15 libraries simultaneously) Supports diverse search criteria including title, author, publisher, ISBN, NDC classification, publication year, and free text AI can autonomously modify search criteria while reviewing results Enables comparison and analysis of data across multiple libraries Returns holdings information and detail page URLs search_libraries (Library Search) Search for library systems by library name or region keywords Retrieve system IDs required for collection searches Returns up to 10 library information results get_ndc_info (NDC Information Retrieval) Retrieve Nippon Decimal Classification (NDC) information View classification names, parent/child classifications, and related classifications Empty string returns root classification list ---- カーリル図書館MCPは、日本全国の図書館蔵書検索を可能にするリモートMCPサーバーです。Claude、ChatGPT、VS Codeなど主要なAIアシスタントから、統一的なインターフェースで全国7,400館以上の図書館の蔵書に直接アクセスできます。 MCPサーバーは3つの主要なツールを提供しています。 search_books（図書館蔵書検索） 複数の図書館システムを横断検索（最大15館を同時検索） 書名、著者名、出版者、ISBN、NDC分類、出版年、フリーワードなど多様な検索条件に対応 AI側が検索結果を見ながら自律的に条件を変更可能 複数の図書館のデータを比較検討できる 所蔵館情報と詳細ページURLを返却 search_libraries（図書館検索） 図書館名や地域名をキーワードに図書館システムを検索 蔵書検索に必要なシステムIDを取得 最大10件の図書館情報を返却 get_ndc_info（NDC情報取得） 日本十進分類法（NDC）の分類情報を取得 分類名称、上位・下位分類、関連分類を確認可能 空文字列でルート分類一覧を取得