Wakala

npx add-mcp 'https://mcp.wakala.dev/mcp'

What mistakes does your agent make when no one's checking?

7 tasks jumped to done bypassing review

4 issues closed with no definition of done

3 transitions before declared dependencies

2 writes after the task was already closed

Responsible agent workflows need visible project state.

wakala helps companies move from AI experiments to AI execution without losing control, auditability, or engineering trust.

Better auditability

Know what agents touched, when they touched it, and how the work moved through the workflow.

Safer automation

Guardrails stop agents from making unauthorized workflow jumps or corrupting project status.

Faster AI adoption

Give agents a focused execution layer without forcing your team to replace its entire PM system.

Wakala works with your stack.

We're not trying to replace what your team already uses. Wakala is the controlled work layer where AI agents do their part — and the project state stays exportable as CSV, so the rest of your stack keeps doing what it does.

Your existing work tracker

Whatever tracker your team already lives in. Wakala doesn't replace it — it sits next to it.

Any MCP-compatible agent

Claude Code, Cursor, OpenCode, Codex, Pi, Gemini — any agent that speaks MCP gets strict workflow guardrails for free, no custom integration code.

From agent chaos to controlled execution.

A simple workflow for teams that want AI agents to track real work safely.

1

Connect your MCP client

Point your agent at a small, deterministic issue-tracking surface.

2

Let agents create and update tasks

Agents pick up tasks with a clear definition of done, comment as they go, and progress status safely.

3

Humans review and approve

Keep human oversight in the loop with shared task history and enforced transitions.

Designed for the messy middle of human-agent work.

Use wakala wherever AI agents create, triage, update, or hand off project work.

Autonomous maintenance tasks

Track dependency upgrades, refactors, and cleanup work done by agents.

AI coding-agent bug triage

Let coding agents file issues and spawn fix tasks while humans retain review control.

QA agents reporting failures

Test agents can file structured issues with severity, reproduction notes, and status.

Support-to-engineering automation

Convert customer problems into controlled engineering tasks without losing context.

Multi-agent coordination

Give multiple agents one shared work state instead of scattered private memory.

AI governance pilots

Give business and engineering leaders visibility into how agents move work forward.

Why “wakala”?

Wakala means agency in Arabic — the office that acts on your behalf. The arrangement that lets one party delegate to another, within rules both can trust.

Your AI agents are agents in that sense, too: they act on your behalf, within the rules you set. Most agent tooling today treats them like tourists — handed a map, told to be careful. wakala is the agency that lets them do real work, with enforced guardrails both sides can see.