mcp-server

Streamline AI with mission-control

Dispatch tasks and govern AI operations from one dashboard, for founders using AI agents
intermediate1-2 hours💵 Free self-hosted
6,250 stars84 forksTypeScriptUpdated 9/20/2026100% free · open source
What it is

Manage and govern your AI agents from a central dashboard.

Real use case example

"A founder like you can use this to automate data import from Amazon to Notion by setting up an AI agent in this mission control dashboard, then create a trigger for new products, and finally have the data synced within a few minutes."

Best insideClaude DesktopCursorCodex CLI
When to use it
  • You have multiple AI models or agents that need to work together to accomplish a task
  • You want to monitor and control the cost of running AI workflows and operations
  • You need to manage complex AI workflows and want a centralized platform to do so
Ready-to-paste prompt
dispatch task 'sentiment-analysis' to agent ' transformer-model' with input '{"text": "This is a sample text"}'
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/mission-control && curl -fsSL https://workflowstacks.com/api/skills/mission-control/claude-skill -o ~/.claude/skills/mission-control/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Streamline AI with mission-control works
Codeflow
Free to inspect

Streamline AI with mission-control is a very large TypeScript project (~109k lines across 425 code files, plus 246 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~109k lines · 425 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 95%JavaScript 3%Shell 1%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    src/index.ts
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
src/Core code — the actual logic569 files
skills/Prompts, skills & agent definitions4 files
docs/Documentation24 files
wiki/Documentation2 files
examples/Examples you can copy1 files
scripts/Helper scripts29 files
messages/Folder11 files
ops/Deployment / infrastructure3 files
READMEHas testsDocumentedCI checksDocker readyExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
builderz-labs
Language
TypeScript
Category
mcp-server
Published
2/13/2026

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/mission-control.svg)](https://workflowstacks.com/skills/mission-control?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.