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Alphio MCP brings Alphio Agent into your favorite AI workflow.
Natural-language execution Agent review before action Paper-to-live control
Alphio MCP

Turn your words into actionwith Alphio's MCP Server

Ask. Build. Analyze. Automate. Execute. All inside your favorite AI interface powered by Alphio's Agent API.

Get connected Explore the Agent
Alphio Agent x MCP
Ask

Describe the goal in plain language.

Plan

Agent calls tools and builds the flow.

Review

Review intent and control points.

Execute

Paper first, live when ready.

Agent-first design

Research and trade in one flow.

Alphio MCP keeps the Agent useful under real constraints.

Flow

Research, decide, and trade in one flow

Move from question to action in one thread.

Visibility

Full visibility into every agent action

See the plan before anything goes live.

Language

Natural-language access to market, data, and strategy

Use prompts instead of stitching tools by hand.

Guardrails

Safe by design for sensitive workflows

Built to keep your data private, without training on user data or leaking information.

Market data coverage

Core data for Alphio Agent.

01
Real-time market data

Quotes, charts, stocks, ETFs, crypto.

02
News and event flow

Company news, briefs, and events.

03
Fundamentals and estimates

Financials, valuation, estimates, ratings.

04
Signals and on-chain context

Whales, sentiment, addresses, screeners.

AI Tasks and monitoring

Tasks, alerts, and watchlists.

Research-ready outputs

Screeners, briefs, and analysis.

Private by default

No training on your data. No leaking your prompts or account context.

Tool ecosystem

Connect with the AI tools you use.

Alphio MCP works across the interfaces your team already prefers.

V

VS Code

Keep code and execution planning in one editor.

Use in VS Code
T

Mobile and Terminal

Lightweight access without losing control.

More coming soon
Getting started

Quick start, not full docs.

Enough to understand the flow. Full docs can live elsewhere.

Quick start

Three steps to get Alphio MCP running.

  1. Create an API key.
  2. Create the user and session.
  3. Stream, review, and route the workflow.
Request API access Explore integrations
Quick start example POST /v1/openapi/users 
curl https://api.alphio.ai/v1/openapi/users \
  -H "Authorization: Bearer pk_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "partner_user_ref": "u_998877",
    "display_name": "Alice"
  }'

# Then:
# 1. create the session
# 2. call chat completions over SSE
# 3. review the workflow before promoting to live
FAQ

Questions before you connect Alphio MCP.

The real question is whether the Agent stays visible and controllable when the workflow gets real.

What is Alphio MCP?

It is the layer that lets Alphio Agent work inside external AI interfaces with broker, market, and control context attached.

How does Alphio Agent use MCP?

The Agent interprets intent, calls tools, and moves through a visible review step before anything execution-aware is routed.

What tools can Alphio connect to?

It can connect across chat interfaces, developer tools, broker layers, and market data services.

Can I review every action before execution?

Yes. Review, paper mode, and workflow visibility stay central to the product model.

Can I test in paper mode first?

Yes. The intended flow is paper first, live later.

Bring Alphio Agent into the tools your team already uses.

Use MCP to keep research, review, and execution in one surface.

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