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com.mcparmory/canvas MCP Server

com.mcparmory/canvas

Connect AI agents to Canvas LMS for course, submission, grade, and student data management.

What is the com.mcparmory/canvas MCP server?

The Canvas MCP server enables AI agents to manage courses, submissions, grades, and student data within Canvas LMS. It provides full API coverage for Canvas operations, generated from the official OpenAPI specification and tested against the live API.

This server exposes Canvas LMS functionality as MCP tools, allowing AI agents to programmatically interact with courses, student submissions, grades, and related educational data. Use it to automate administrative tasks, retrieve student information, manage assignments, and handle grading workflows within Canvas.

How to install com.mcparmory/canvas

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": [
        "mcparmory-canvas"
      ]
    }
  }
}

Use cases

  • Retrieve and analyze student grades and submission data
  • Automate course administration tasks like enrollment and section management
  • Query assignment submissions and provide feedback at scale
  • Generate reports on student progress and course performance
  • Integrate Canvas data with other educational or business systems

com.mcparmory/canvas MCP server FAQ

What is the Canvas MCP server?

The Canvas MCP server connects AI agents to Canvas LMS, enabling programmatic management of courses, submissions, grades, and student data through the Canvas API.

Is it free to use?

The server itself is free (MIT licensed), but requires a Canvas LMS instance and valid API credentials to function.

How do I install it in Cursor or Claude?

Install via pip (`pip install mcparmory-canvas`) or use uvx (`uvx mcparmory-canvas`), then configure your MCP client with your Canvas API token in the environment variables.

What authentication is required?

You need a Canvas API token from your Canvas LMS instance, typically configured as a Bearer token in the server environment.

Can I run it without installing?

Yes, you can use `uvx mcparmory-canvas` to run it directly without a local installation.

What Canvas operations are supported?

The server supports all operations exposed by the Canvas API, including course management, student data access, submission handling, and grade operations.

README (reference)

Source of truth, from the repository.

<p align="center"> <img src="https://wjxawmrpsfuivlicnepc.supabase.co/storage/v1/object/public/newsletter/logo-armory-no-background.png" alt="MCP Armory" height="64"> </p> <h1 align="center">MCP Armory Registry</h1> <p align="center"> Production-ready MCP servers for popular APIs, generated by <a href="https://mcpblacksmith.com">MCP Blacksmith</a>. </p> <p align="center"> <a href="https://github.com/mcparmory/registry/stargazers"><img src="https://img.shields.io/github/stars/mcparmory/registry?style=flat&color=gold" alt="GitHub Stars"></a> <a href="https://github.com/mcparmory/registry/blob/main/servers/github/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="License"></a> <img src="https://img.shields.io/badge/servers-79-8A2BE2" alt="Servers"> <img src="https://img.shields.io/badge/python-3.11+-3776AB?logo=python&logoColor=white" alt="Python 3.11+"> </p> <p align="center"> <a href="#servers">Servers</a> &middot; <a href="#install--usage">Install & Usage</a> &middot; <a href="#features">Features</a> &middot; <a href="#how-servers-are-generated">How it works</a> &middot; <a href="#license">License</a> </p>

MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.

<!-- SERVERS:BEGIN -->

Servers

🧠 AI & Machine Learning   ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

📊 Analytics   Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog

⛓️ Blockchain & Crypto   Alchemy NFT

💼 CRM & Sales   Apollo

💬 Communication   Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & Databases   Enigma · Pinecone

🛠️ Developer Tools   AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry

📄 Documents & Printing   PDF.co

🛒 E-commerce   Shopify Admin

💰 Finance   Alpha Vantage · Polygon · Ramp

👥 HR & Recruiting   BambooHR

☁️ Infrastructure   Globalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & Compliance   NetLicensing

🗺️ Maps & Location   Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding

📣 Marketing   Customer.io Journeys Track · Klaviyo

🎬 Media & Entertainment   Canva · Perigon

✅ Productivity   Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 Search   Algolia Search · Google Search

📦 Storage   Box · Files.com · Google Drive

📌 Other   Close

More servers are being added continuously.

<!-- SERVERS:END -->

Install & Usage

Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.

# With uvx (no install needed)
uvx mcparmory-github

# With pip
pip install mcparmory-github
mcparmory-github

MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):

{
  "mcpServers": {
    "github": {
      "command": "uvx",
      "args": ["mcparmory-github"],
      "env": {
        "BEARER_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Features

Every server in this registry provides:

  • Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
  • Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
  • Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
  • Pydantic validation — request parameters are validated before sending to the API
  • Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
  • Response sanitization — optional redaction of sensitive fields from API responses

How servers are generated

Servers are generated by MCP Blacksmith, an automated pipeline that:

  1. Parses an OpenAPI specification
  2. Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
  3. Generates a complete MCP server with auth, models, validation, and configuration
  4. Tests every tool against the live API using an autonomous agent
  5. Deploys passing servers to this registry

The generator targets Python 3.11+ and uses FastMCP as the MCP framework.

Contributing

Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:

  • Broken or deprecated endpoints
  • Missing or incorrect parameters
  • Authentication problems
  • Incorrect request/response models

We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.

License

Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.


<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> &middot; <a href="https://mcpblacksmith.com">MCP Blacksmith</a> &middot; <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>

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