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MCP server · Agents

Investment Scanner Agent

An educational example agent built with LangChain, LangGraph, a local Ollama model, and one MCP tool. It scans news and price data for a narrow scope: equities (stocks) and ETFs only. It is a news/trend summarizer, not a financial advisor -- it never recommends buying or selling anything.

34Low

Scored 3 days ago · breakdown

About Investment Scanner Agent

Investment Scanner Agent is an MCP server in the Agents category: an educational example agent built with LangChain, LangGraph, a local Ollama model, and one MCP tool. It scans news and price data for a narrow scope: equities (stocks) and ETFs only. It is a news/trend summarizer, not a financial advisor -- it never recommends buying or selling anything. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/mkgraiitr/investment-scanner-agent

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 Investment Scanner Agent

How do I install Investment Scanner Agent?

Run git clone https://github.com/mkgraiitr/investment-scanner-agent, 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 Investment Scanner Agent 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 Investment Scanner Agent still maintained?

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