"How to connect external tools or data sources to Qlik" matching MCP servers:

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

An MCP server that integrates AI agents with Figma, enabling reading and programmatic modification of designs.

MCP server with 562 tools accessing 114 government data APIs covering economic, health, education, energy, and more from federal, state, and international sources.

Provides web automation utilities, including taking Camofox browser tab screenshots and saving them directly to local files.

Enables AI agents to read Figma designs and modify them programmatically, including creating and styling elements, editing text, managing layout and components, exporting images, and working with annotations and prototype connections.

A comprehensive Model Context Protocol server providing access to 70+ IT tools for developers and system administrators, including encoding/decoding, text manipulation, hashing, and network utilities.

MCP server + TypeScript SDK for 36 U.S. government data APIs — 188 tools. Treasury, FRED, Congress, FDA, CDC, FEC, lobbying, and more. Works with VS Code Copilot, Claude Desktop, Cursor.

An MCP server that connects AI assistants to a Neo4j graph database, enabling querying of movie data through tools like graph statistics, genre-based search, and movie details, along with advanced features such as LLM sampling and completions.

Official Bright Data server for the Model Context Protocol that enables AI assistants like Claude Desktop to reference and make decisions based on real-time public web data.

Enables AI assistants to read and modify Figma designs programmatically through the Model Context Protocol.

Provides AI assistants with access to ShopSavvy's comprehensive product data, pricing information, and historical price tracking, enabling product lookup by barcode or ASIN, current offers, price history, and scheduling for automatic monitoring.

Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Enables AI assistants in MCP clients to turn long videos from YouTube, VK Video, RuTube, Dzen, Twitch, Yandex Disk, Google Drive or direct links into captioned vertical Shorts/Reels, transcripts and articles, returning links to the finished clips. It also exposes read-only modes and job quoting so clients can inspect sources and estimate credit usage before creating anything.

Enables AI assistants to search Perplexity.ai through browser automation without an API key, returning answers with cited sources.

Track how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.

Enables MCP clients to send prompts anonymously to ChatGPT and receive the markdown answer plus the web sources it consulted as structured JSON. Requires only a HasData API key, with no OpenAI account, API key, or billing needed.

Search, read, save, and update code snippets and retrieve collections from Sniptide Cloud or a self-hosted instance. Connect coding agents using the local MCP server.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

An MCP server that enables AI assistants to perform web searches on Perplexity.ai using browser automation instead of an official API. It supports persistent authenticated sessions and returns search results along with cited sources directly to the client.

Enables AI assistants to search multiple tech job boards at once, summarize what the market is asking for, and rank postings by how well they match a user's own skills.

Enables agents to open or connect to a Colab browser tab and use notebook tools, resources, prompts, and progress through a local stdio session.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Enables AI assistants to perform institutional research and due diligence by retrieving, extracting, validating, and citing data from public sources, then generating reports in markdown, HTML, or PDF.

Enables AI agents to retrieve real-time data on wallet DeFi positions, token balances, and NFT holdings across multiple blockchains. It supports hundreds of protocols and provides specialized tools for chain-specific or protocol-specific portfolio analysis.

Firecrawl, the context API for AI agents, as an MCP server. Search the web, scrape any URL, parse PDFs and documents, crawl and map sites, interact with pages in a real browser, run Agent research jobs, monitor pages for changes, and search scientific papers. Returns clean Markdown or structured JSON. Run locally with npx firecrawl-mcp or connect to https://mcp.firecrawl.dev/v2/mcp

Connect QGIS to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly control QGIS — manage layers, edit features, run processing algorithms, render maps, and more.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

An MCP server that provides AI clients with access to developer documentation via llms.txt files. Exposes tools, resources, and prompts.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.