I built Trade MCP.
GitHub: https://github.com/AmaLS367/TradeMcp
And no, this is not another “AI trading bot that will make you rich while you sleep” thing.
That stuff sounds cool until you remember one small detail:
letting an AI agent freely touch your exchange account is insane.
So I built Trade MCP around a different idea:
AI should research, compare and prepare.
Humans should approve dangerous actions.
Simple. Safer. Actually usable.
🧠 What is Trade MCP?
Trade MCP is a remote MCP server and dashboard for crypto workflows.
It connects AI clients to:
- exchange data
- market data providers
- encrypted API key storage
- Earn comparison tools
- portfolio context
- human-approved trading workflows
- a dashboard for managing everything
The goal is not to replace your brain.
The goal is to give your AI assistant real tools without turning it into a financial gremlin with API keys.
⚠️ The problem
MCP is powerful.
But when crypto gets involved, things become dangerous very quickly.
A normal AI crypto setup usually looks like one of these:
- ChatGPT with no live data
- A local script with messy
.envfiles - An agent with too much access
- A trading bot that can act before you even understand what happened
That is not good enough.
If money is involved, the system needs:
- encrypted credentials
- auth
- policies
- logs
- dashboard visibility
- human approval
- clean tool boundaries
So I started building that.
🔥 What Trade MCP supports
🔐 Encrypted exchange connections
Trade MCP is built for exchange connections like:
- Binance
- Bybit
API keys are not supposed to just sit in random config files.
They are encrypted with AES-256-GCM before storage.
Because “just put your exchange key in plain text” is not a security strategy. It is a cry for help.
📊 Market data providers
AI models do not magically know live market data.
So Trade MCP supports external provider connections for market context.
Examples:
- CoinGecko
- CryptoPanic
- TAAPI.IO
- Twelve Data
- OANDA
- NewsAPI
- Messari
This lets AI answer using actual data instead of confident nonsense.
And confident nonsense in trading is expensive.
💰 Earn comparison
Crypto Earn products are annoying to compare manually.
Different platforms.
Different APY.
Different assets.
Different lock periods.
Different conditions.
Trade MCP is built to help aggregate and compare those opportunities so an AI client can give a more useful answer.
Not just:
“Maybe staking is good.”
But actual structured comparison.
🌐 Remote MCP endpoint
Local MCP is cool for small scripts.
But for a real tool, remote MCP feels much better.
Trade MCP gives you a remote MCP server approach:
- one server
- one endpoint
- centralized auth
- centralized tool management
- dashboard-based setup
- easier deployment
- cleaner multi-client usage
This makes the project feel less like a hacky local experiment and more like infrastructure.
🖥️ Dashboard
Trade MCP also has a React dashboard.
Because editing everything through config files gets old fast.
The dashboard is meant for:
- managing exchange connections
- managing providers
- checking configuration
- controlling workflows
- making the server usable by humans, not only terminal goblins
A tool can be powerful, but if the UX is painful, people will not use it.
🧩 Tech stack
The project uses:
- TypeScript
- Node.js
- Express
- React
- Vite
- Firebase Auth
- Firestore
- CCXT
- MCP SDK
- Docker
- Vitest
- Zod
So it is not just a lonely script in a folder named final-final-real-version.
It has a real app structure, backend, frontend, docs, tests and deployment setup.
🛡️ My philosophy for AI trading tools
I do not think AI agents should instantly execute trades with full freedom.
That sounds impressive in a demo.
In real life, it is how you speedrun regret.
A better workflow is:
🤖 AI should:
- research
- compare data
- check market context
- summarize balances
- find Earn opportunities
- prepare structured proposals
- explain possible risks
👤 Human should:
- review
- approve
- reject
- adjust
- decide
That is the core idea behind Trade MCP.
Let AI prepare.
Let humans approve.
⚙️ Example workflow
Imagine this:
- You connect Binance or Bybit
- You add market data providers
- You connect your AI client to Trade MCP
- You ask something like:
Compare my USDT Earn options and find better available opportunities.
Or:
Analyze BTC market context and prepare a possible trade plan, but do not execute anything.
The AI can use MCP tools to gather context.
Then it can prepare an answer or proposal.
You stay in control.
That is the important part.
🧨 Why this is useful
Because AI agents are becoming more capable.
But more capability without more control is not automatically good.
Especially in crypto.
Trade MCP tries to give the agent useful abilities while still keeping the dangerous parts behind proper structure.
That means:
- no blind autopilot trading
- no raw key chaos
- no random local config soup
- no “trust the model bro” energy
Just a cleaner foundation for AI-assisted crypto workflows.
🚧 Current status
Trade MCP is still evolving.
Things I want to improve:
- better AI client connection guides
- more provider integrations
- stronger policy profiles
- better trade proposal flow
- clearer risk summaries
- audit logs
- dashboard polish
- more tests
- better examples
So no, this is not “finished forever”.
But it is already a serious foundation.
✅ TL;DR
I built Trade MCP.
It is a remote MCP server and dashboard for crypto workflows.
It supports:
- exchange connections
- encrypted API keys
- market data providers
- Earn comparison
- remote MCP access
- dashboard management
- human-approved trading workflows
The goal is simple:
AI researches and prepares. Humans approve.
GitHub: https://github.com/AmaLS367/TradeMcp
If you are into MCP, AI agents, crypto tools, secure automation or trading infrastructure, check it out.
