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.
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
The Canvas MCP server connects AI agents to Canvas LMS, enabling programmatic management of courses, submissions, grades, and student data through the Canvas API.
The server itself is free (MIT licensed), but requires a Canvas LMS instance and valid API credentials to function.
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.
You need a Canvas API token from your Canvas LMS instance, typically configured as a Bearer token in the server environment.
Yes, you can use `uvx mcparmory-canvas` to run it directly without a local installation.
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.
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:
- Parses an OpenAPI specification
- Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
- Generates a complete MCP server with auth, models, validation, and configuration
- Tests every tool against the live API using an autonomous agent
- 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> · <a href="https://mcpblacksmith.com">MCP Blacksmith</a> · <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>
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