DevvyBoard
About
Connect AI coding tools (Cursor, Claude Code, Codex CLI) to your DevvyBoard Kanban workspace. List projects, read boards, and create, update, move, or delete cards — all from inside your editor via a local stdio server.
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- Categories
- Productivity, Project Management
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Connect AI coding tools to your DevvyBoard projects. With the Model Context Protocol integration, Cursor, Claude Code, and Codex CLI can read boards, create and move cards, triage ideas, post in chat (and summon @devvy), publish roadmaps, and read or draw your project Blueprint — without leaving your editor.
New to MCP? Follow these steps in order. The whole setup usually takes about five minutes.
Click your profile picture in the top-right corner and chooseConnectivity. You can also openConnectivityfrom the mobile menu.
ClickCreate API key, name it (for example,Cursor on laptop), pick the projects to share, and choose read or read-and-write access. Copy the key when shown — it starts withdbk_live_and appears only once.
Add the DevvyBoard MCP server to your AI tool using the config in theCursor,Claude Code, orCodexsection below. Paste your API key where it saysdbk_live_YOUR_KEY_HERE.
Restart or reload MCP in your tool, then ask the AI to“list my DevvyBoard projects”to confirm everything works.
The MCP package runs with one command — no clone or build step:npx -y devvyboard-mcp(published asdevvyboard-mcpon npm).
DevvyBoard exposes aModel Context Protocol(MCP) server that AI assistants can call as tools. Once configured, your AI assistant can:
- List all projects your API key is authorised for
- Read the full Kanban board — columns, card groups, and cards — for any project
- Create, update, move, and delete cards (write scope required)
- Triage the ideas backlog and promote ideas onto the board
- Post in project chat — mentioning @devvy summons the AI teammate
- Publish or unpublish the public roadmap (owner only)
- Read the project Blueprint as a compact outline or full node-graph doc
- Draw on the Blueprint: create or extend the canvas and link nodes to cards — no coordinates needed, layout is automatic
The MCP package is published asdevvyboard-mcpon npm. It runs as a local stdio server withnpx -y devvyboard-mcp— no additional service or infrastructure is required on your machine.
DevvyBoard account (Free or Pro).Free includes MCP with daily API limits; Pro raises limits for heavy automation.
Node.js 20 or laterinstalled on the machine running your AI tool. The MCP server is distributed as an npm package and executed withnpx.
An API keygenerated fromConnectivity(profile menu → Connectivity). See the next section.
API keys are scoped to specific projects and carry either read or read-and-write permissions. You can create and revoke keys at any time.
Give the key a name (for example,Cursor MCP), select the projects to grant access to, and choose whether the key should havereadorread and writescope.
ClickCreate. Copy the key shown — it begins withdbk_live_and is displayedonly once.
Store the key in your OS keychain or password manager. If you lose it, revoke the key from the Connectivity page and create a new one.
Add the DevvyBoard MCP server to your Cursor configuration. Cursor reads MCP servers from~/.cursor/mcp.json(global) or a.cursor/mcp.jsonfile at the root of any project (project-scoped).
{ "mcpServers": { "devvyboard": { "command": "npx", "args": ["-y", "devvyboard-mcp"], "env": { "DEVVYBOARD_API_KEY": "dbk_live_YOUR_KEY_HERE" } } } }
Open or create the file at~/.cursor/mcp.json(on Windows:%USERPROFILE%\.cursor\mcp.json).
Paste the configuration above, replacingdbk_live_YOUR_KEY_HEREwith your actual API key from Connectivity.
In Cursor, open the Command Palette (Ctrl+Shift+P on Windows/Linux, Cmd+Shift+P on Mac) and runMCP: Restart all servers.
Thedevvyboardserver and its tools should appear in the MCP panel. Ask the AI agent to“list my DevvyBoard projects”to confirm connectivity.
Claude Code uses aclaude_desktop_config.jsonfile for MCP configuration. Add the DevvyBoard server under themcpServerskey.
- macOS / Linux:~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:%APPDATA%\Claude\claude_desktop_config.json
{ "mcpServers": { "devvyboard": { "command": "npx", "args": ["-y", "devvyboard-mcp"], "env": { "DEVVYBOARD_API_KEY": "dbk_live_YOUR_KEY_HERE" } } } }
Open or create the config file at the path above for your platform.
Add thedevvyboardentry undermcpServers, replacing the placeholder key.
Restart Claude Code. The DevvyBoard tools will appear in the tools panel.
Codex CLI supports MCP servers via acodex.jsonconfiguration file in your project root or home directory.
{ "mcpServers": { "devvyboard": { "command": "npx", "args": ["-y", "devvyboard-mcp"], "env": { "DEVVYBOARD_API_KEY": "dbk_live_YOUR_KEY_HERE" } } } }
Alternatively, export the key as an environment variable before running Codex:
export DEVVYBOARD_API_KEY=dbk_live_YOUR_KEY_HERE codex
Refer to theCodex CLI documentationfor the exact config file path on your version.
The MCP server exposes the following tools. Each tool call targets the DevvyBoard REST API on your behalf using the API key supplied in your configuration.
The Blueprint tools (_wireframe,link_node_to_card) work on projects whose organisation is onDevvyBoard Pro. Every Blueprint write automatically saves a restore point first, so anything an agent draws is one click away from undone.
Every API key carries one of two scope levels. You choose the scope when creating the key fromConnectivity.
The key can list projects, read boards, and fetch individual cards. It cannot make any changes.
Suitable for AI assistants that summarise work or answer questions about tasks.
The key can read everything plus create, update, move, and delete cards.
Suitable for AI agents that manage your board on your behalf.
Preferread-onlykeys when an AI tool only needs to look up tasks. Limit write access to agents you fully trust to modify your board.
Each HTTP call under/api/integrations/v1/counts toward your quota (MCP tools map one-to-one). Exceeding a limit returnsHTTP 429with rate-limit headers — not a silent throttle.
Pro is for higher headroom, not exclusive MCP access. Upgrade from billing in the mobile app when you need more daily requests.
My AI tool returns a 401 error — what should I check?
Verify that the API key is copied correctly and has not been revoked from Connectivity. Ensure the key prefix is dbk_live_ and the full value is passed as the DEVVYBOARD_API_KEY environment variable.
Can I use one key for multiple projects?
Yes. When creating a key, select all the projects you want it to access. The list_projects tool will return only those projects.
Can I scope a key to read-only to prevent accidental changes?
Yes. Select read-only scope when generating the key. Any tool that requires write access will return a permission error, leaving your board unchanged.
Open Connectivity from your profile menu, revoke the old key, then create a new one. Update your MCP configuration with the new key and restart your AI tool.
Yes. Free accounts get 300 API requests per day (50 writes) and a per-minute burst cap. Pro raises those limits. When exceeded, the API returns HTTP 429 and your MCP client shows an error. See API limits above or upgrade to Pro for heavier automation.
No. Free accounts can create API keys from Connectivity and use all MCP tools with read and write scopes, subject to daily limits. Pro is optional for higher quotas.
Does the MCP server persist any data locally?
No. The MCP package is a stateless stdio server. All data lives in your DevvyBoard workspace and is fetched or written in real time through the API.
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