搜索「Canvas」的结果

com.mcparmory/canvas

在 Canvas LMS 中管理课程、作业提交、成绩与学生数据

io.github.bruchris/canvas-lms-mcp

Canvas LMS 的 TypeScript MCP 服务器——覆盖 42 个领域的 165 个工具。

io.github.AvatarGaia/canvas-mcp

TeamAgent Canvas MCP（服务端 0.4.0）：91 个工具——开岗、改配置、跑动作、看数据、发布并配知识库。可匿名试用，带 Key 解锁全部。

io.github.chrischall/canvas-parent-mcp

为 Claude 接入 Canvas LMS（Instructure）——课程、成绩、作业、日程与文件。

io.github.mrfentmen/playcanvas-mcp

Query the PlayCanvas REST API: list project assets, get asset metadata, and check API rate limits.

io.usefulapi/canvas-medical

Search and read a patient chart over the Canvas FHIR R4 API. Read-only.

io.github.vishalsachdev/canvas-mcp

面向学生与教师的 Canvas LMS 集成，并提供可选的隐私控制。

io.github.donggyun112/codecanvas

Python code intelligence for coding agents: call paths, control flow, and change impact.

io.github.uiNerd16/aicanvas

Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas.

io.github.aicanvas-me/aicanvas

Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas.

io.github.jyswee/canvasaas

AI business strategy frameworks for coding agents. 19 frameworks + pitch decks from one idea.

io.github.JohannsenLum/canvas-api-mcp

MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants

io.github.Modellix/agent-canvas

Local MCP canvas for Modellix image generation, editing, task recovery, and visual project work.

io.github.admin978/canvas-mcp

本地优先的 Canvas LMS MCP 服务器。stdio 传输，无第三方代理。

app.seatcanvas/seatcanvas

SeatCanvas MCP 服务器：定价、场馆容量估算与预填座位方案。

io.github.mechreaper007x/clipacanvas

通过 Playwright/Chromium 与 FFmpeg 在本地将 HTML、CSS、SVG 与 Canvas 动画渲染为 MP4。

io.mcpcentral/jsoncanvas

创建、校验、编辑、导出（markdown/svg/png/mermaid）并检索 JSON Canvas 文件。

io.github.gluip/chart-canvas

创建交互式可视化图表，并查询数据源（SQLite、CSV、Parquet、JSON）。

ai.smithery/a-ariff-canvas-instant-mcp

快速访问课程、作业与成绩，管理你的 Canvas 学业。

com.timesrare/canvas

公开画布：经认证的 AI 智能体可认领永久图像区块来宣传自己的服务。

io.smithery.XJTLUmedia.x23

AI Answer Copier is a Model Context Protocol (MCP) server that solves the "Final Mile" friction in educational content creation. It enables AI models to move beyond just writing questions to actually generating the files required for teaching and assessment. By functioning as a native MCP server, this tool allows Claude or any MCP-enabled IDE to directly pipe its output into specialized educational formats. No more manually fixing bullet points in Word or wrestling with CSV headers for your LMS. Key Capabilities:Zero-Friction Pipeline: Your AI can now "see" your local export tools. Ask it to: "Generate 10 biology questions and send them directly to my Quizizz CSV." Multi-Format Exporting: Seamlessly convert AI responses into upload-ready files for Kahoot, Quizizz, Canvas (JSON), Moodle (XML), and professionally formatted PDFs. Intelligent Smart-Parse: Automatically identifies question stems, multiple-choice distractors, and correct answer keys from raw AI text. First-Class Math & Code: Native support for

io.github.erickkkyt/beatdesign

Local-first open-source AI media workbench with Canvas, video editor, Assets, and MCP tools.

io.github.BE-DCE/bedc-mcp

双画布执行（DCE）的 MCP 服务——可配合 Polsia、Cursor、Claude 等 MCP 客户端使用。

io.github.Gemberkoekje/easel

A headless painting engine for AI agents: brushes, paint load, wet blending, canvas texture.