tradeos-mcp

tradeos-mcp

Connects TradeOS trading intelligence to MCP-compatible AI tools, enabling natural language-driven market analysis, ticker search, spread comparison, macro context, and custom trading agent management.

Category
Visit Server

README

tradeos-mcp

TradeOS MCP lets you connect TradeOS trading intelligence to MCP-compatible AI tools, so your assistant can analyze markets, search tickers, compare spreads, use macro context, and manage custom trading agents directly from natural-language prompts.

Overview

This repo publishes @tradeos/tradeos-mcp on npm: a stdio MCP bridge that proxies tools to TradeOS Streamable HTTP (mcp-call). You can connect in two ways:

Mode Best for Auth
HTTP (recommended) Cursor, Claude Code, most MCP clients Browser OAuth in the client
npm stdio Clients that only support command / stdio TRADEOS_ACCESS_TOKEN env var

Production endpoint (both modes ultimately call this):

https://ai.tradeos.xyz/api/agent/mcp/mcp-call

Product docs: TradeOS MCP integration & usage


Prerequisites

  • Node.js 18+
  • A TradeOS account with MCP API access
  • For npm stdio: ability to run a local install (see Windows notes)

Option A — HTTP (recommended)

No npm install. The client handles OAuth.

Cursor

Edit user config ~/.cursor/mcp.json (Windows: %USERPROFILE%\.cursor\mcp.json):

{
  "mcpServers": {
    "tradeos": {
      "url": "https://ai.tradeos.xyz/api/agent/mcp/mcp-call"
    }
  }
}

Save, restart Cursor (or refresh MCP in Settings → MCP), then complete OAuth when prompted.

Claude Code (plugin — recommended)

Use the bundled plugin in tradeos-skills/:

claude --plugin-dir ./tradeos-skills

Then complete OAuth and run /tradeos:analyze. Full plugin workflow (validate, community marketplace submit): tradeos-skills/README.md — aligned with Claude plugin docs.


Option B — npm stdio bridge

Use when your client requires a local process (command + stdio).

1. Install locally

Do not rely on npx inside MCP on Windows (cache/path issues). Install once to a fixed directory:

mkdir -p ~/tradeos-mcp-run   # Windows: mkdir %USERPROFILE%\Downloads\tradeos-mcp-run
cd ~/tradeos-mcp-run         # Windows: cd %USERPROFILE%\Downloads\tradeos-mcp-run
npm install @tradeos/tradeos-mcp

Pin a version if you prefer, e.g. @tradeos/tradeos-mcp@1.0.0.

2. Get TRADEOS_ACCESS_TOKEN

Run the OAuth helper (opens browser → log in on TradeOS → prints token):

# Linux / macOS
npx -y -p @tradeos/tradeos-mcp tradeos-mcp-oauth

# Or subcommand on main bin:
npx -y @tradeos/tradeos-mcp oauth

# Or, from your install directory:
node node_modules/@tradeos/tradeos-mcp/scripts/fetch-token.mjs

Windows (recommended):

cd /d %USERPROFILE%\Downloads\tradeos-mcp-run
node node_modules\@tradeos\tradeos-mcp\scripts\fetch-token.mjs

Copy the printed JWT (eyJ...). For local development of this repo, copy into .env:

cp .example.env .env
# TRADEOS_ACCESS_TOKEN=eyJ...

End users who only npm install the package do not need .env — set the token in MCP client config (mcp.json) instead.

Do not commit tokens to git.

3. Configure Cursor

{
  "mcpServers": {
    "tradeos-npm": {
      "command": "node",
      "args": [
        "C:/Users/YOU/Downloads/tradeos-mcp-run/node_modules/@tradeos/tradeos-mcp/build/index.js"
      ],
      "env": {
        "TRADEOS_ACCESS_TOKEN": "eyJ..."
      }
    }
  }
}

Replace YOU and the path with your actual install location. Use forward slashes or escaped backslashes in JSON.

If Cursor cannot find node, set the full path:

"command": "C:/nvm4w/nodejs/node.exe"

Enable tradeos-npm in Settings → MCP. Status should show connected with tools listed.

4. Verify in terminal (optional)

Environment variables in mcp.json do not apply to your shell. Set the token in the same terminal session:

REM Windows CMD
set TRADEOS_ACCESS_TOKEN=eyJ...
node C:\Users\YOU\Downloads\tradeos-mcp-run\node_modules\@tradeos\tradeos-mcp\build\index.js
# Linux / macOS
export TRADEOS_ACCESS_TOKEN=eyJ...
node ~/tradeos-mcp-run/node_modules/@tradeos/tradeos-mcp/build/index.js

Success:

[tradeos-mcp] remote: https://ai.tradeos.xyz/api/agent/mcp/mcp-call
[tradeos-mcp] stdio bridge ready

Press Ctrl+C to stop. Cursor starts its own process; you do not need to keep this terminal open.


Windows notes

  1. Use local node + install path in mcp.json, not npx, for MCP.
  2. If npm cache errors mention C:\Program Files\nodejs\node_cache, run once:
    npm config set cache "%USERPROFILE%\.npm-cache"
    
  3. npx @pkg tradeos-mcp-oauth may run the wrong bin on Windows. Prefer:
    npx -y -p @tradeos/tradeos-mcp tradeos-mcp-oauth
    
    or node .../scripts/fetch-token.mjs from your install directory.
  4. Clear a broken npx cache (quit Cursor first):
    rmdir /s /q "%USERPROFILE%\.npm-cache\_npx"
    

npm package reference

Item Value
Package @tradeos/tradeos-mcp
MCP Registry name io.github.TradeOS-AI/tradeos-mcp
Bin: MCP bridge tradeos-mcp
Bin: OAuth token tradeos-mcp-oauth
OAuth subcommand oauth on bin tradeos-mcp

Install:

npm install @tradeos/tradeos-mcp

Development (this repo)

git clone https://github.com/TradeOS-AI/tradeos-mcp.git
cd tradeos-mcp
npm ci
npm run build
npm run oauth:token    # browser OAuth → prints token (copy into .env if needed)
npm run registry:verify
Script Purpose
npm run build Compile stdio bridge to build/
npm run oauth:token Browser OAuth → print token
npm run registry:verify Pre-publish checks (package.json ↔ server.json)
npm run registry:sync-version <ver> Sync version from release tag

Publishing (maintainers)

Push a version tag to trigger .github/workflows/publish-mcp.yml:

git tag v1.0.0
git push origin v1.0.0
  • Stable tags (v1.0.0) publish to npm latest and the MCP Registry.
  • Pre-release tags (v1.0.0-beta.1) publish with an npm dist-tag matching the prerelease label (e.g. beta).
  • Requires GitHub Actions secret NPM_TOKEN (Classic Automation token for @tradeos).

Verify on the registry API:

curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.TradeOS-AI/tradeos-mcp"

Troubleshooting

Symptom Likely cause Fix
TRADEOS_ACCESS_TOKEN is required Token not set in env / mcp.json Run oauth helper; set env in MCP config
unauthorized on connect Expired or invalid token Re-run oauth; paste fresh JWT (no Bearer prefix)
EPERM / node_cache npm cache under Program Files npm config set cache "%USERPROFILE%\.npm-cache"
TAR_ENTRY_ERROR / 'tradeos-mcp' is not recognized npx failed on Windows Local install + node path in mcp.json
MODULE_NOT_FOUND for node_modules/... Ran script from wrong directory cd to install dir or use absolute path
Token works in terminal, not in Cursor mcp.json path or token mismatch Match paths; restart Cursor / refresh MCP
MCP connects but no tools Wrong server enabled Disable broken localhost entries; use production HTTP URL or working tradeos-npm

Related

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured