"How to fetch assignments from Canvas" matching MCP servers:

A local stdio MCP server for visual AI work, offering an Excalidraw infinite canvas, image generation and editing, HTML drafts, presentations, and durable task recovery within a project workspace.

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

Enables AI assistants to fetch public data from 120+ sources via natural language and save it locally as Excel, GeoJSON, or KML files.

This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.

Enables agents to create, read, edit, typecheck, compile, and version local React canvas artifacts through MCP, with inline interactive previews in supporting chat clients.

Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.

Lets coding agents fetch real social media and web data from platforms like TikTok, Instagram, YouTube, and more, directly inside editors like Cursor and VS Code.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

Lightweight project management for teams and AI agents.

An MCP server that lets you schedule AI phone calls and manage Leximo assignments directly from Claude Desktop or Claude Code.

MCP Server to fetch costs and usage data from your Vantage account.

Enables AI systems to fetch machine learning inferences and prediction market data from the Allora Network through the Model Context Protocol.

Enables AI agents to fetch real-time quotes, token information, and trade transaction data from Monorail's aggregation of 11 exchanges and 7000+ tokens.

Provides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.

Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.

Provides web access tools (fetch, search, sitemap crawl) through String AI's API, automatically handling anti-bot bypass, CAPTCHA, and JavaScript rendering.