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

Enables AI agents to access Canvas LMS academic data such as courses, assignments, grades, and events via MCP tools.

MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.

Enables fetching patents from multiple global sources by patent ID, returning PDF, Markdown, and metadata with automatic caching.

Transforms AI assistants into research-grade cognitive workspaces with systematic reasoning, evidence-based analysis, persistent memory management, and intelligent knowledge discovery.

An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables LLM agents to search, fetch, and read legal open-access scientific papers with provenance tracking through a stable MCP tool contract.

Ask a research question; in seconds get ranked companies, vetted 10-K/10-Q passages and financials.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

An MCP server for Screener.in to search Indian companies, fetch financial ratios, statements, peer comparisons, and run custom screens.

Enables Claude Code to fetch a public Dota 2 match from OpenDota and return a coaching-report-ready JSON summary covering laning, farming, deaths, itemization, objectives, teamfights, benchmark percentiles, skill build, damage sources, and rune control, with optional deep-dives on a specified player.

Enables searching live job postings, aggregating labour-market slices, and reporting how long listings have been open, with filters for titles, location, salary, and more.

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

Connects Claude to OpenReview to facilitate conference reviewer and area chair workflows through the Model Context Protocol. It enables users to manage paper assignments, read submissions and reviews, and perform write actions like submitting reviews or comments using a preview-and-confirm system.

Enables agents to fetch real-time stock data like current price, day range, and volume via yfinance, with future support for backtesting and custom trading strategies.

Enables MCP-compatible clients to browse, search, and fetch EIU economic data for about 200 countries and 320 indicator series, including history and forecasts.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.

Enables AI clients to search for academic papers, fetch metadata by DOI, retrieve open access PDF links, and extract full text from research papers using the Unpaywall API. Provides seamless access to scholarly literature for research and analysis tasks.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

MCP server for Tracetify — trace how any product actually grew, without leaving Claude Code or Cursor.

Enables AI assistants to fetch sourced, citable face measurement percentiles, face type definitions and threshold rules, methodology and citation details, and to classify a face shape from four distances using the site's seven rules in order. Read-only and takes no photo.

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.

Provides access to over 5,000 macroeconomic indicators from the Banco Central de Reserva del Perú (BCRP) statistical database. It enables AI agents to search for indicators, fetch time-series data, and generate professional economic charts.

Returns USDA-derived edible yield, refuse percent and trim waste for 305 raw fruits and vegetables, letting an assistant convert between as-purchased and edible weights. It also answers how many whole items or how much produce to buy for a recipe amount given in grams, pounds, cups or household measures.

An MCP server that integrates Scopus, Crossref, and PubMed APIs to search academic papers and fetch abstracts, usable with any MCP-compatible AI client.