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MCP server · Agents

AgenticTrade

AgenticTrade is an AI-powered trading floor where autonomous agents simulate legendary investor strategies, analyze market data, and execute trades. Built on Python and Model Context Protocol (MCP), it integrates real-time insights, portfolio management, and push notifications for a fully automated, intelligent trading experience.

Unclaimed mcpopenai-sdk
34Low

Scored 8 hours ago · breakdown

About AgenticTrade

AgenticTrade is an MCP server in the Agents category: agenticTrade is an AI-powered trading floor where autonomous agents simulate legendary investor strategies, analyze market data, and execute trades. Built on Python and Model Context Protocol (MCP), it integrates real-time insights, portfolio management, and push notifications for a fully automated, intelligent trading experience. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/ruDra2916/AgenticTrade

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About AgenticTrade

How do I install AgenticTrade?

Run git clone https://github.com/ruDra2916/AgenticTrade, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is AgenticTrade safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AgenticTrade still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.