{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_h5fa8ysfdb92","handle":"iflow-mcp-ahnopologetic-canvas-lms-mcp","url":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-ahnopologetic-canvas-lms-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-ahnopologetic-canvas-lms-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_ahnopologetic_canvas-lms-mcp","summary":"Minimal Canvas LMS MCP server for easy access to education","description":"# Canvas LMS MCP Server\n\n[![smithery badge](https://smithery.ai/badge/@ahnopologetic/canvas-lms-mcp)](https://smithery.ai/server/@ahnopologetic/canvas-lms-mcp)\nA minimal Canvas LMS MCP (Machine Conversation Protocol) server for easy access to education data through your Canvas LMS instance. This server provides a bridge between AI systems (like Cursor) and Canvas Learning Management System.\n\n## Features\n\n- List planner items (assignments, quizzes, etc.)\n- Get and list assignments\n- Get and list quizzes\n- Get and list courses\n- Get course syllabus\n- Get course modules\n- List files\n\n## Installation\n\n### Installing via Smithery\n\nTo install Canvas LMS Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@ahnopologetic/canvas-lms-mcp):\n\n```bash\nnpx -y @smithery/cli install @ahnopologetic/canvas-lms-mcp --client claude\n```\n\n### Prerequisites\n\n- Python 3.13+\n- Canvas LMS API token\n- `uv` package manager (recommended)\n\n### Installation Methods\n\n#### Option 1: Install with uvx (Recommended)\n\nThe easiest way to install and run canvas-lms-mcp is using uvx:\n\n```bash\nuvx canvas-lms-mcp\n```\n\nThis will run the server in an isolated environment without installing it permanently.\n\nTo install the tool permanently:\n\n```bash\nuv tool install canvas-lms-mcp\n```\n\n#### Option 2: Install from Source\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/yourusername/canvas-lms-mcp.git\n   cd canvas-lms-mcp\n   ```\n\n2. Install with uv:\n   ```bash\n   # Install uv if you don't have it yet\n   curl -LsSf https://astral.sh/uv/install.sh | sh\n\n   # Create a virtual environment and install dependencies\n   uv venv\n   uv pip install -e .\n   ```\n\n   Alternatively, use traditional methods:\n   ```bash\n   python -m venv .venv\n   source .venv/bin/activate  # On Windows: .venv\\Scripts\\activate\n   pip install -e .\n   ```\n\n## Configuration\n\nSet the following environment variables:\n\n```bash\nexport CANVAS_API_TOKEN=\"your_canvas_api_token\"\nexport CANVAS_BASE_URL=\"https:…","publisher":null,"homepage":"https://github.com/ahnopologetic/canvas-lms-mcp#readme","repository":"https://github.com/ahnopologetic/canvas-lms-mcp/issues","version":"0.1.2","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_ahnopologetic_canvas-lms-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.859,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_ahnopologetic_canvas-lms-mcp","registry":"pypi","observedAt":"2026-11-09T07:25:17.835Z","publishedAt":"2026-01-29T09:42:54.934576Z","latestVersion":"0.1.2"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_ahnopologetic_canvas-lms-mcp","url":"https://pypi.org/project/iflow-mcp_ahnopologetic_canvas-lms-mcp/","firstSeenAt":"2026-09-09T17:22:14.644Z","fetchedAt":"2026-11-09T07:23:53.593Z","normalizedAt":"2026-11-09T07:23:53.593Z"}]},"firstSeenAt":"2026-09-09T17:22:14.644Z","updatedAt":"2026-11-09T07:25:17.835Z"}