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netanelavr/trading-mcp

by Various

The MCP server that will help you trade smarter (or at least try)

MCP

netanelavr/trading-mcp

Added 16 Sept 2026

#cursor #finance #mcp #model-context-protocol #stock-analysis #stocks #trading #typescript

Overview

A TypeScript-based MCP server for trading that provides trading-related tools through the Model Context Protocol. It aims to let AI assistants interact with trading data and operations, though its actual capabilities and maintenance are not fully documented. The project has a small community footprint with 75 stars.

Best for

Best for
Developers experimenting with MCP-based trading integrations

Use cases

  • Connecting MCP-compatible clients to trading capabilities
  • Prototyping trading workflows with AI agents
  • Exposing trading functions as MCP tools

How to use

Tested with

Cursor, ChatGPT

Example client config

{\n  "mcpServers": {\n    "trading-mcp": {\n      "command": "node",\n      "args": ["/path/to/trading-mcp/dist/server.js"],\n      "env": {\n        "OPENAI_API_KEY": "sk-your-openai-api-key-here",\n        "REDDIT_CLIENT_ID": "your-reddit-client-id",\n        "REDDIT_CLIENT_SECRET": "your-reddit-client-secret",\n        "REDDIT_USERNAME": "your-reddit-username",\n        "REDDIT_PASSWORD": "your-reddit-password"\n      }\n    }\n  }\n}

Notes

A TypeScript-based MCP server for trading that provides trading-related tools through the Model Context Protocol. It aims to let AI assistants interact with trading data and operations, though its actual capabilities and maintenance are not fully documented. The project has a small community footprint with 75 stars.

75 stars on GitHub. Last updated 2025-07-30. Licensed MIT.

Use cases

  • Connecting MCP-compatible clients to trading capabilities
  • Prototyping trading workflows with AI agents
  • Exposing trading functions as MCP tools

Pros

  • Small, focused codebase
  • Written in TypeScript
  • Follows the MCP server pattern

Cons

  • Low star count indicates limited adoption and validation
  • Feature set and documentation are not detailed in available facts
  • Maintenance status and long-term support are unclear

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Small, focused codebase
  • Written in TypeScript
  • Follows the MCP server pattern

Cons

  • Low star count indicates limited adoption and validation
  • Feature set and documentation are not detailed in available facts
  • Maintenance status and long-term support are unclear
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