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116,578 servers. Updated
20 Best Vector Database MCP Servers: compared and ranked, November 2026Ranked from 1,822 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables searching and scraping job postings from supported sites via Playwright, extracting details, registering them to a Notion database with deduplication, and sending tiered collection summaries to Discord.
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    Enables MCP clients such as Claude Code to run real-time web searches and fetch public web pages as Markdown through DeepSeek's official search and fetch APIs, with result pagination and response caching. Runs over stdio and only requires a DeepSeek API key, needing no browser, Docker, or database.
    2
    877 npm
    1
    MIT
  • A
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    Enables coding agents to work inside a live WordPress Elementor editor tab: reading the canvas skeleton and element settings, creating/updating/moving/deleting elements through Elementor's own command API as single undo steps, taking pixel-accurate screenshots, running design lint, and receiving prompts the user types in the editor with Alt+Space. A ghost cursor and overlay let you follow along, and nothing touches the database directly.
    14
    MIT
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    A portable MCP server that scrapes SPA/JS-rendered webpages and extracts structured API endpoint data. It uses headless Chromium to render JavaScript and provides tools for scraping, endpoint extraction, screenshots, and database seeding.
    4
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    Enables AI clients to drive a UI-testing toolbox with 35 tools, including a headless Playwright runner, live Chromium browser with screenshots, test management, and read-only database queries, all through the Model Context Protocol.
    35
    15 npm
    MIT
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    Enables agents to crawl and read websites politely, learning per host which reader, URL rewrite, or detail path actually reaches good information, and reusing those wins across runs or a shared database. Failures come back as coded errors with concrete next steps, so blocked or empty pages point to an honest alternative instead of endless retries.
    13
    MIT
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    Enables Claude Code and Gemini CLI to see your macOS screen, answering questions about the file, error, UI, database table, or web page you're looking at. Captures screenshots, reads database schemas, and controls Chrome/Brave, presenting answers as on-screen highlights or spoken bubbles above your cursor.
    31
    MIT
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    Enables AI agents to perform web research in one tool call by searching, fetching and cleaning full pages, and ranking cited passages. Provides web_research, web_fetch, web_search, and status tools for MCP clients.
    1
    MIT
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    An MCP server that equips AI agents with real-world tools including file operations, read-only MySQL queries, web summarization, safe calculations, and system info. It uses stdio transport and enforces safety guardrails like SELECT-only database access and AST-based math evaluation.
    MIT
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    Gives AI agents and MCP clients direct control over native desktop apps, Chrome/Electron browsers, and Android devices with screenshots, OCR, accessibility-based element lookup, input simulation, window management, CDP, and ADB in one local server.
    141
    MIT
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    Enables MCP clients to list and compare saved Naver shopping products, update personal notes with revision checks, and retrieve saved product images, all through a local SQLite database without a cloud backend.
    MIT
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    A comprehensive operations platform providing browser automation, web search/crawling, database operations, deployment tools, secrets management, and analytics capabilities for full-stack software engineering workflows. Features AI-driven automation, real-time monitoring dashboard, and cross-platform service management.
    1
    MIT
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    Enables AI agents to drive a remote headless Chromium browser through Playwright on Vercel serverless functions, supporting navigation, snapshots, clicking, form filling, key presses, scrolling, text extraction, screenshots, and JavaScript evaluation. Browser state is carried in an encrypted client-side session token, so no database or third-party browser service is required.
    MIT
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    Enables AI assistants like Claude to drive a logged-in BOSS 直聘 recruiter dashboard through the Chrome DevTools Protocol, batch-searching candidates across many keywords, capturing resume screenshots and share links, deduplicating into a persistent local database, scoring and filtering candidates against YAML criteria, and exporting Markdown reports. It also supports sending greetings and tracking pipeline progress with resume-after-interruption.
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    Enables AI assistants to automate a recruiter's BOSS 直聘 workflow by driving an already-logged-in Chrome browser through the Model Context Protocol, so they can batch-search and deduplicate candidates, capture Canvas-rendered resumes as screenshots and extract permanent share links, filter and score candidates from YAML criteria, greet them, and export Markdown reports while persisting everything to a resumable local database.
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  • F
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    Enables AI assistants to automate a logged-in recruiter console over Chrome DevTools Protocol, running multi-keyword candidate searches, capturing and de-duplicating profiles into a local database, extracting share links, scoring and shortlisting applicants against YAML criteria, exporting Markdown reports, and sending greetings. A resumable pipeline keeps results across interruptions so work can continue where it left off.
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  • F
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    Enables AI assistants to drive a logged-in recruiter account through Chrome DevTools Protocol to batch-search candidates across multiple keywords, screenshot Canvas-rendered resumes, extract share links, filter and score applicants, and export Markdown reports. Results are persisted to a local candidate database with deduplication and resumable pipelines.
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    Enables AI assistants to drive a logged-in BOSS Zhipin recruiter account through the Model Context Protocol, running multi-keyword candidate searches, capturing Canvas-rendered resume screenshots, extracting permanent share links, auto-filtering and scoring candidates, sending greetings, and exporting Markdown reports. Results persist in a local database so interrupted pipelines can resume without losing data.
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  • F
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    Enables LLMs to read, query, search, and manipulate a live schematic or PCB canvas in the browser, including retrieving the active document, searching the LCSC parts database, and placing components, drawing wires, and updating net names. Bridges an MCP client to the editor via a WebSocket extension so changes appear in real time.
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  • F
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    Lets AI assistants such as Claude drive an already-logged-in BOSS 直聘 recruiter console through Chrome, running multi-keyword candidate searches, capturing Canvas resume screenshots, extracting permanent share links, and saving results to a resumable local database. It also filters and scores candidates against YAML criteria and exports Markdown reports, plus sends greetings to selected candidates.
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  • F
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    Enables AI assistants to automate recruiting on the BOSS Zhipin job platform by driving a logged-in Chrome session — batch-searching candidates across many keywords, screenshotting Canvas-rendered resumes, extracting permanent share links, auto-scoring and filtering applicants against YAML criteria, and exporting Markdown reports. Results persist to a local candidate database with deduplication and resume support, so interrupted hiring pipelines can continue where they left off.
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  • F
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    Enables AI assistants to drive a logged-in BOSS Zhipin recruiter account through Chrome, batch-searching candidates across multiple keywords, capturing Canvas-rendered resumes as screenshots, extracting permanent share links, greeting candidates, and filtering/scoring them from a local database. It also exports Markdown candidate reports and supports resumable pipelines via YAML-configured criteria.
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  • F
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    Enables AI assistants such as Claude to automate recruiter workflows on the BOSS Zhipin hiring platform, including multi-keyword candidate searches, resume screenshot capture for OCR, deduplication, filtering and scoring, Markdown report export, and one-click greeting outreach. It drives an already-logged-in Chrome browser over the DevTools Protocol and persists results to a local JSON database so interrupted pipelines can be resumed.
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