"How to upload a local file to a website" 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.

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.

Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.

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

Student-focused Canvas LMS MCP server with 209 tools: what-if grades, the score you need on the final, deadlines and missing work across every course, submissions with confirm-before-send, discussions and inbox. Runs locally with npx, nothing exposed to the internet.

Enables local AI agents to generate and edit Figma designs via the Plugin API through a WebSocket relay, with no rate limits and all communication remaining local.

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

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.

Enables fast literal and regex search over local workspaces using a sparse n-gram index for candidate pruning, with deterministic verification against file contents.

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.

Enables listing top-level frames in a Figma file and fetching a selected frame's rendered PNG, node JSON, and image-fill map into a local output directory.

A MCP server for querying the VirusTotal API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports.

Enables AI assistants to turn local git history into answers about recent activity, file hotspots, change coupling, stale or already-merged branches, contributors, ref comparisons, and drafted release notes. It runs locally over stdio with a git subcommand allowlist, so it is read-only, works offline and without shell access, and is safe to auto-approve.

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.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

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 MCP clients to drive Open Reality OS end-to-end: upload scans, follow reconstruction jobs, sync scenes as context, run measurements and path planning, execute scene agents, and export robot-training data to disk.

A local MCP server that connects to SAP ABAP systems via ADT HTTP API, enabling AI assistants to search, read, and manage ABAP objects securely without SAP GUI.

Enables ChatGPT Web to securely control a trusted local computer through an OpenAI Secure MCP Tunnel, letting it perform file, process, Git, and other system operations on Windows, macOS, and Linux.

Enables file-based knowledge management with ranked keyword and semantic hybrid search, allowing AI agents to learn from documents and recall relevant knowledge as a persistent memory tool.

A local bridge that lets MCP clients inspect, export, and modify Figma files through a development Figma plugin.

Enables AI assistants to interact with the EduBase educational platform to create quizzes, upload questions, schedule exams, manage educational content, and analyze user results through natural language.

Enables writing to Figma from MCP clients like Claude Code without a Figma Dev seat, using a local WebSocket relay and a Figma dev plugin.

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

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

Deterministic encode, decode, hash and convert for agents, on the same pipeline engine as the String Utility Belt web app, CLI and editor extensions: a pipeline built and checked in the browser runs unchanged from its share link. Base64/hex/URL, JWT, hashes, JSON/YAML/CSV/XML, dates and regex; tools to search, describe and run utilities or whole pipelines, and to detect input formats. Runs locally

Enables AI agents to prepare, preview, quote, and send approved faxes, track delivery and evidence, read inbound faxes, extract data, and request human approvals through a fax API.