AI agents need context, not copy-paste. Specboard connects your docs and tasks directly to any MCP-compatible agent—so they know what to build and what matters most.
Whether you're a solo dev wearing both hats, or a product person handing off to AI-augmented developers—Specboard is the coordination layer that keeps everyone (and every agent) aligned.
Requirements in Notion, tasks in Jira, specs in Google Docs. Product people write detailed specs that never reach the agent intact.
Product writes spec → Dev interprets → Dev prompts agent → Agent guesses. By the time context reaches the AI, half of it is gone.
Full products have hundreds of requirement files. Too many to dump into a prompt. No structure to know which docs matter for which task.
Plans evolve, specs update, requirements shift. The connections between sessions, plans, and requirements drift apart.
Git-backed Markdown documentation. True .md files, not proprietary blocks. Version history through Git.
Simple kanban: Ready → In Progress → Done. Drag to rank. Agents ask "what should I work on?" and get a real answer.
Tasks link to their relevant requirement docs. Agent picks up a task → gets the right context, not all context.
Native MCP server included. Works with any MCP-compatible agent. Query docs, query tasks, update progress.
Create requirements in the documentation editor. Markdown files, version-controlled, human-readable.
Create epics on the kanban board. Drag to rank what matters most. Link epics to their requirement docs.
Agent connects via MCP. Queries requirements directly. No copy-paste. No re-explaining.
Agent breaks down epics into tasks. Implements, tests, iterates. Progress visible to everyone.
Review the PR yourself, or let the agent merge and close the epic once the work is verified. You decide where the gate sits.
| What you're using | The problem | How we're different |
|---|---|---|
| Notion + Jira | AI can't read either. Two systems = scattered context. | One integrated system with native MCP. |
| Markdown in repo | Static. Gets stale. No task management. No structure. | Living docs + prioritized tasks, linked and queryable. |
| Linear / Shortcut | Great for tasks, but no MCP. Requirements live elsewhere. | Docs + tasks + MCP in one tool. |
| ChatPRD / AI PRD tools | Generate docs from AI, not for AI. No agent integration. | Built specifically for agent consumption via MCP. |
| DIY (Obsidian + Issues) | Glue code. No unified context. No MCP. | Purpose-built, zero integration work. |
They define what gets built.
They decide what matters most.
They create subtasks and submit PRs.
Nothing closes until the work is verified.
No more "that's not what I meant."
Full history, portable, no lock-in.
MCP (Model Context Protocol) is the open standard for connecting AI agents to tools and data. We didn't retrofit MCP onto an existing product—we built MCP-first from day one.
list_projects — Find the projects you can work inget_items — Read epics, tasks, and bugs with their linked specscreate_item — File an epic, task, or bugcreate_items — Break an epic into tasks in one callupdate_item — Move status, tick off checklists, log progressdelete_item — Remove work that's no longer neededWorks with any MCP-compatible agent: Claude Code, Cursor, Windsurf, and any tool that supports the protocol.
Your docs live in a git repository you control. Full version history built in.
Plain .md files, not proprietary formats. Read them anywhere, edit them with any tool.
Your docs are just markdown. Leave whenever you want. No data hostage situation.
We're rolling out to select teams. Join the waitlist.
Stop copy-pasting context. Start shipping what you actually meant.
Request Early Access