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financeanalytics-data

Investor Agent (Financial Analysis)▌

ferdousbhai

by ferdousbhai

Analyze lrcx stock in real-time with Investor Agent using yfinance and CNN data for portfolio and market sentiment insig

Provides real-time financial analysis tools leveraging market data from yfinance and CNN's Fear & Greed Index for investment research, portfolio analysis, and market sentiment evaluation.

github stars

★ 312

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Multi-layered caching for reliable data delivery10+ comprehensive financial toolsReal-time market sentiment tracking

best for

  • / Investment research and portfolio analysis
  • / Financial advisors conducting market analysis
  • / Trading strategy development
  • / Academic financial research

capabilities

  • / Analyze stock fundamentals and company metrics
  • / Track market movers and active stocks
  • / Fetch options chains with liquidity filtering
  • / Monitor market sentiment via Fear & Greed indices
  • / Retrieve financial statements and earnings data
  • / Access institutional holdings and analyst recommendations

what it does

Provides comprehensive financial analysis by fetching real-time market data, company fundamentals, options chains, and market sentiment indicators. Integrates yfinance data with CNN Fear & Greed Index and Google Trends for investment research.

about

Investor Agent (Financial Analysis) is a community-built MCP server published by ferdousbhai that provides AI assistants with tools and capabilities via the Model Context Protocol. Analyze lrcx stock in real-time with Investor Agent using yfinance and CNN data for portfolio and market sentiment insig It is categorized under finance, analytics data. This server exposes 12 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Investor Agent (Financial Analysis) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Investor Agent (Financial Analysis) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

README content is unavailable from source data for this server.

Open GitHub repository

FAQ

What is the Investor Agent (Financial Analysis) MCP server?
Investor Agent (Financial Analysis) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Investor Agent (Financial Analysis)?
This profile displays 53 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

✓

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

✓

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

✓

Complete complex tasks end-to-end without manual steps

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • ›Basic understanding of MCP architecture and capabilities
  • ›Access credentials for integrated services (if required)
  • ›Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • ⚠MCP server not loading: Check config syntax, verify installation
  • ⚠Connection errors: Check network, firewall, credentials
  • ⚠Feature not working: Read server docs, check required parameters
  • ⚠Performance issues: Monitor resource usage, check for network latency
  • ⚠Conflicts with other servers: Check port assignments, namespace collisions

Best Practices▌

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • −Don't grant overly permissive access to MCP servers
  • −Don't skip reading security considerations in docs
  • −Don't expose sensitive data without proper controls
  • −Don't run untrusted MCP servers without code review
  • −Don't ignore error messages—investigate root cause

💡 Pro Tips

  • ★Combine multiple MCP servers for powerful workflows
  • ★Create custom MCP servers for your specific needs
  • ★Share successful configurations with team
  • ★Use MCP inspector for debugging
  • ★Join MCP community for tips and troubleshooting

Technical Details▌

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This▌

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration▌

  • →Tool composition: Chain multiple MCP tools in workflows
  • →Context augmentation: Provide AI with relevant external data
  • →Action delegation: Let AI execute tasks on external systems
  • →Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.7★★★★★53 reviews
  • ★★★★★Alexander Wang· Dec 28, 2024

    According to our notes, Investor Agent (Financial Analysis) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Soo Khanna· Dec 28, 2024

    We wired Investor Agent (Financial Analysis) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Ganesh Mohane· Dec 24, 2024

    We wired Investor Agent (Financial Analysis) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Amelia Dixit· Dec 16, 2024

    Investor Agent (Financial Analysis) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Charlotte Nasser· Dec 8, 2024

    Investor Agent (Financial Analysis) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Soo Malhotra· Nov 19, 2024

    Useful MCP listing: Investor Agent (Financial Analysis) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Charlotte Kim· Nov 19, 2024

    Investor Agent (Financial Analysis) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Sakshi Patil· Nov 15, 2024

    Investor Agent (Financial Analysis) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Jin Smith· Nov 15, 2024

    I recommend Investor Agent (Financial Analysis) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Jin Harris· Nov 7, 2024

    Strong directory entry: Investor Agent (Financial Analysis) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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