cnvs-whiteboard
Allows creating and editing Mermaid diagrams on a shared whiteboard, including flowcharts, sequence/class/ER diagrams, mind maps, gantt charts, and concept maps.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cnvs-whiteboardopen a new shared canvas for diagramming"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cnvs-whiteboard-skills
Agent Skills + MCP server discovery for cnvs.app — the free, no-signup real-time collaborative whiteboard. Any AI agent can read, write, draw, diagram, and subscribe to live human edits on a shared canvas, either through the hosted MCP server or the REST fallback.
Works with Claude Code, Claude Desktop, Cursor, OpenCode / OpenAI Codex, Aider (with MCP plugin), any other MCP-speaking client, and Hermes-family agents.
MCP Server
Endpoint: https://cnvs.app/mcp (Streamable HTTP, protocol 2025-06-18, no auth — the board ID is the access key).
Registered in the official MCP Registry as app.cnvs/whiteboard.
Capabilities
Tools (25): board creation and inspection; visual previews; text, link, image, and stroke editing; movement and deletion; live-update waits; and complete kanban column, lane, task, query, and export workflows. The exact production list is published in
/.well-known/mcp.json. State-changing operations also have REST mirrors underhttps://cnvs.app/api/boards/<id>/…for runtimes that cannot speak MCP.Resources (3):
cnvs://board/{id}/state.json(full snapshot),cnvs://board/{id}/preview.svg(visual render), andcnvs://board/{id}/tasks.json(kanban state). All three are subscribable.Subscriptions:
resources/subscribesupported withnotifications/resources/updatedpushed over SSE, debounced ~3 s after activity settles.Live machine-readable manifests:
/quotas.json,/openapi.json,/llms.txt,/.well-known/mcp.json,/.well-known/mcp/server.json.
Related MCP server: Excalidraw MCP Server
Installation
Codex / ChatGPT and Cursor packages
This repository is the public source package for both marketplace integrations:
.codex-plugin/plugin.jsonand.mcp.jsondescribe the Codex / ChatGPT plugin..cursor-plugin/plugin.jsonandmcp.jsondescribe the Cursor plugin.SUBMISSION.mdandCURSOR-MARKETPLACE.mdcontain the prepared listing copy, disclosures, reviewer flows, and submission checklists.
Both packages connect only to the hosted production endpoint; there is no local server process or secret to configure.
Claude Desktop / Cursor / any MCP client
One-line config — add this to your client's mcpServers object:
{
"mcpServers": {
"cnvs": {
"type": "http",
"url": "https://cnvs.app/mcp"
}
}
}Claude Code CLI
claude mcp add --transport http cnvs https://cnvs.app/mcpREST-only (no MCP client)
# Create a board
curl -X POST https://cnvs.app/api/boards
# Add text
curl -X POST https://cnvs.app/api/boards/<id>/texts \
-H 'Content-Type: application/json' \
-d '{"x":100,"y":200,"content":"# Hello","author":"ai:myagent"}'
# Long-poll for live changes
curl "https://cnvs.app/api/boards/<id>/wait?timeout_ms=25000"Full REST reference: /llms.txt, /openapi.json.
Access model
There is no account or OAuth flow. A board URL or board ID is a bearer-style access credential: anyone who knows an unlocked board URL can open it. Boards can optionally require an 8-character lowercase alphanumeric access key for writes or for both reads and writes; legacy 6-character keys remain accepted. Pass a key only through the MCP tool's access_key argument or the X-Board-Key HTTP header.
Do not paste private board URLs or access keys into public issues, logs, or repositories.
Useful prompts
Create a fresh whiteboard for our brainstorming session and return its URL.
Open this cnvs.app board, inspect its preview, and summarize the layout.
Turn this list into a shared kanban board with priorities and owners.
Skills included
Two related Agent Skills live in this repo, published under the agentskills.io open standard so they work in any compatible runtime. Install them into ~/.claude/skills/ to teach the agent how to use the MCP server well (preview-before-JSON, REST-over-MCP for writes, author-tag conventions, subscription-then-react loop).
cnvs-whiteboard/ — PRIMARY
Teaches an AI agent how to collaborate on a cnvs.app board in real time:
Read the shared canvas state
Draw / diagram / flowchart / annotate — add, update, move, and delete text, links, sticky notes, strokes, images, and Mermaid diagrams (flowcharts, sequence / class / ER diagrams, mind maps, gantt charts, concept maps)
Render the SVG preview when the board contains drawings
Subscribe to live human edits via MCP, react via REST
Activates on any cnvs.app board reference (URL https://cnvs.app/#<id>, cnvs://board/<id>/..., or a bare board ID) or phrases like "collaborate on / draw / diagram / annotate / watch a shared whiteboard or canvas."
mcp-listen/ — HELPER (v0.3.0)
Push-to-model pump for Streamable-HTTP MCP servers with capabilities.resources.subscribe: true. Opens a session, subscribes to the resource URIs the caller hands over, and emits one JSON line per notifications/resources/updated event on stdout — designed to be wrapped by Claude Code's Monitor tool so every server push becomes an in-chat notification (no polling, no log tailing).
Helper-only activation since v0.3. Triggers only when the caller — a user or another skill — has supplied both an MCP server URL and at least one resource URI. Does NOT auto-activate from generic phrasing like "watch this file" or "stay in the loop". cnvs-whiteboard is the canonical caller and delegates its push channel here.
Output split since v0.3. Only the actionable resource_updated event reaches stdout by default. Connection / subscription / heartbeat / transient-error events go to stderr so a wrapping Monitor doesn't fire on the listener's own bookkeeping. Pass --verbose (or -v) to merge everything onto stdout for debugging or single-channel logging (legacy v0.2 behavior).
Registry status. Intentionally not listed in centralised skill registries yet. Current registry pipelines (e.g. majiayu000/claude-skill-registry-core as of 2026-05-03) archive only SKILL.md + generated metadata; they do not mirror bundled scripts/** or package.json, so an entry for mcp-listen would publish a broken skill. It will be (re-)submitted once core registries support directory-style skill archival with bundled-file mirroring and security scanning — see PR majiayu000/claude-skill-registry-core#40 for the directory-archive primitive that just landed and the open question on bundled-script scanning. Until then, install it via curl from cnvs.app (below) or git clone this repo.
Install the skills
# cnvs-whiteboard (SKILL.md only — no deps)
mkdir -p ~/.claude/skills/cnvs-whiteboard && cd ~/.claude/skills/cnvs-whiteboard
curl -O https://cnvs.app/cnvs-whiteboard/SKILL.md
# mcp-listen (SKILL.md + scripts/ + npm install)
mkdir -p ~/.claude/skills/mcp-listen && cd ~/.claude/skills/mcp-listen
curl -O https://cnvs.app/mcp-listen/SKILL.md \
-O https://cnvs.app/mcp-listen/package.json \
--create-dirs -o scripts/listen.mjs https://cnvs.app/mcp-listen/scripts/listen.mjs
npm installAlternatively git clone this repo and cp -r .claude/skills/* ~/.claude/skills/ — the .claude/skills/ directory contains symlinks into cnvs-whiteboard/ and mcp-listen/ for Claude Code's expected layout.
Spec compliance
Both skills follow the agentskills.io spec:
namematches the containing directory namedescriptionunder 1024 characters, imperative phrasing, explicit trigger keywordsscripts/subdirectory for bundled code (mcp-listen)license: MIT,compatibilityfield declared, cross-references in each skill's "Related skills" section to prevent activation overlap
Why two skills
Earlier versions had a single page (/skill-cnvs.md on cnvs.app — now a legacy redirect). Splitting into two coherent units follows the spec's "design coherent units" best practice:
cnvs-whiteboardowns the cnvs.app-specific workflow (read / write / render / gotchas).mcp-listenowns the generic push-to-model pattern (usable against any MCP server).
Cross-references keep them pairing cleanly: cnvs-whiteboard mentions mcp-listen as its delegated push channel; mcp-listen mentions cnvs-whiteboard as the companion for cnvs-specific work. No activation overlap in practice.
Canonical sources
Skills are also served live at:
The cnvs.app URLs are the canonical install targets for curl-based installers; this GitHub repo is the reference for aggregators that crawl public sources (skills.sh, etc.) and for users who prefer git clone.
Discovery surfaces
Live
Official MCP Registry:
app.cnvs/whiteboard— browsecnvs.app
/.well-known/mcp.json— links both skillscnvs.app
/.well-known/mcp/server.json— MCP Registry entry with publisher-provided_meta.skills[]cnvs.app
/llms.txt— LLM-friendly full referencemajiayu000/claude-skill-registry-core—cnvs-whiteboardlisted (PR #31 merged 2026-05-04).mcp-listenintentionally held back; see Registry status on themcp-listen/section above.Lobehub (used by Hermes agent) — both skills imported; MCP server submitted
Planned / under consideration
Notes for future expansion of distribution. Not active yet — kept here so the next maintenance window doesn't have to re-discover the landscape.
majiayu000/claude-skill-registry-core— re-submitmcp-listenas a separate PR now that PR #40 (directory archives + bundled-script security scanning) is merged.scripts/listen.mjsis even hardcoded into their test assertions, so the pipeline already exercises our exact case.daymade/claude-code-skills(vendored model) — fork, copycnvs-whiteboard/andmcp-listen/directly into their tree (their layout already expectsscripts//references//assets/), updatemarketplace.json, single PR for both skills. No bundled-files concern because the files are copied in.VoltAgent/awesome-agent-skills(curated awesome-list, 20k ⭐) — markdown link, ≤10-word description. Their CONTRIBUTING explicitly excludes brand-new skills ("give your skill time to mature and gain users before submitting"); revisit once there's documented external usage.sickn33/antigravity-awesome-skills(36k ⭐) — manual path: fork, addskills/<name>/SKILL.md, runnpm run validate. Their<!-- registry-sync: ... -->header in README suggests automated pull from upstream registries, so a successful entry onmajiayu000/claude-skill-registry-coremay propagate here without a separate PR — confirm before submitting twice.agentskills/agentskills(17.8k ⭐, the spec org behind agentskills.io) — investigate whether they accept reference implementations;mcp-listenas a worked example of MCPresources/subscribeconsumption could fit there.vercel-labs/agent-skills/vercel-labs/skills— almost certainly curated, but read CONTRIBUTING before ruling out.
Skipped intentionally: anthropics/skills (curated, no community PRs); personal collections under ~100 ⭐; language-specific lists unless a relevant audience emerges.
License
MIT. See LICENSE.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
This server cannot be installed
Maintenance
Related MCP Connectors
Create, read and live-edit visual boards, Kanban plans, Gantt timelines and diagrams with AI agents.
Persistent docs and memory for AI agents — read, write, organize & search a shared workspace.
Create and improve live, shared interactive documents with your agent.
Create and edit architecture diagrams from your AI agent; get an SVG and a live editable canvas.
Related MCP Servers
- AlicenseNot gradedqualityFmaintenanceEnables AI agents to programmatically control a live Excalidraw canvas through element-level CRUD operations and real-time synchronization. It allows agents to iteratively build, inspect, and refine diagrams while providing visual feedback via screenshots and scene descriptions.1,972MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to programmatically control a live Excalidraw canvas with element-level CRUD operations and real-time synchronization. It supports iterative diagramming through scene descriptions, screenshots, and advanced layout tools for collaborative AI-human workflows.1,9722MIT
- AlicenseNot gradedqualityDmaintenanceA shared whiteboard for you and your AI agent I wanted my AI agent and me to be able to point at the same thing. Any MCP-capable agent can read the canvas, draw on it, drop thought bubbles, animate elements, and react when you sketch something.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to create and manipulate live visual diagrams on an Excalidraw canvas in real-time via MCP tools.2,90814BSD 3-Clause
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/lksrz/cnvs-whiteboard-skills'
If you have feedback or need assistance with the MCP directory API, please join our Discord server