CCM
/MCP
SkillsMCPMarketplacesDigestLearnAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Learn
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

TradeOS

tradeos-ai/tradeos-mcp
authSTDIO, HTTPregistry active
Summary

Bridges TradeOS trading intelligence into Claude and other MCP clients via stdio or HTTP. Exposes ticker search, chart technical analysis, macro news feeds, and a custom agent interface that lets you build and query trading strategies from natural language. OAuth flow handled client-side for HTTP mode, or you can run the npm package locally with a bearer token. Built for traders who want to pull live market data, compare spreads, and run TA directly in their AI chat without switching to a terminal or web dashboard. Ships with a Claude Code plugin and detailed Cursor config examples. Proxy architecture means all the heavy lifting happens on TradeOS servers, you just get the MCP transport layer.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Put your SEO on autopilot
Put your SEO on autopilot
An agent that runs the SEO playbooks that move rankings and ships PRs you control.
Get founding access →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Put your SEO on autopilot
Put your SEO on autopilot
An agent that runs the SEO playbooks that move rankings and ships PRs you control.
Get founding access →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Put your SEO on autopilot
Put your SEO on autopilot
An agent that runs the SEO playbooks that move rankings and ships PRs you control.
Get founding access →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →

Configuration

TRADEOS_ACCESS_TOKEN*secret

OAuth Bearer for mcp-call. Run: npx -y @tradeos/tradeos-mcp oauth, then paste the printed token.

Categories
AI & LLM ToolsSearch & Web Crawling
Registryactive
Package@tradeos/tradeos-mcp
TransportSTDIO, HTTP
AuthRequired
UpdatedJun 3, 2026
View on GitHub

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:

ModeBest forAuth
HTTP (recommended)Cursor, Claude Code, most MCP clientsBrowser OAuth in the client
npm stdioClients that only support command / stdioTRADEOS_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

ItemValue
Package@tradeos/tradeos-mcp
MCP Registry nameio.github.TradeOS-AI/tradeos-mcp
Bin: MCP bridgetradeos-mcp
Bin: OAuth tokentradeos-mcp-oauth
OAuth subcommandoauth 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
ScriptPurpose
npm run buildCompile stdio bridge to build/
npm run oauth:tokenBrowser OAuth → print token
npm run registry:verifyPre-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

SymptomLikely causeFix
TRADEOS_ACCESS_TOKEN is requiredToken not set in env / mcp.jsonRun oauth helper; set env in MCP config
unauthorized on connectExpired or invalid tokenRe-run oauth; paste fresh JWT (no Bearer prefix)
EPERM / node_cachenpm cache under Program Filesnpm config set cache "%USERPROFILE%\.npm-cache"
TAR_ENTRY_ERROR / 'tradeos-mcp' is not recognizednpx failed on WindowsLocal install + node path in mcp.json
MODULE_NOT_FOUND for node_modules/...Ran script from wrong directorycd to install dir or use absolute path
Token works in terminal, not in Cursormcp.json path or token mismatchMatch paths; restart Cursor / refresh MCP
MCP connects but no toolsWrong server enabledDisable broken localhost entries; use production HTTP URL or working tradeos-npm

Related

  • tradeos-skills/ — Claude Code plugin + analyze skill
  • server.json — MCP Registry manifest
  • TradeOS MCP FAQ (GitBook)

Related AI & LLM Tools MCP Servers

View all →
SkillFM LLM Cost Optimizer

io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage

LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
1
Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f