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financeanalytics-data

KOSPI/KOSDAQ Stock Data▌

dragon1086

by dragon1086

Access real-time KOSPI stock index data with tools for ticker symbols, OHLCV, market cap, and trading activity via pykrx

Integrates with pykrx to provide real-time access to KOSPI and KOSDAQ stock market data, offering tools for retrieving ticker symbols, OHLCV data, market capitalization, fundamental metrics, and trading volumes.

github stars

★ 63

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Direct KRX API integration with OAuthAutomatic session managementRequires Kakao account login

best for

  • / Korean stock market analysis and research
  • / Building financial applications for KRX data
  • / Algorithmic trading with Korean equities
  • / Investment portfolio tracking

capabilities

  • / Retrieve OHLCV price data for Korean stocks
  • / Get market capitalization for individual stocks
  • / Access fundamental metrics like PER, PBR, and dividend yield
  • / Query trading volumes by investor type
  • / Load all KOSPI/KOSDAQ ticker symbols
  • / Retrieve index data for market benchmarks

what it does

Provides real-time access to Korean stock market data from KOSPI and KOSDAQ exchanges, including prices, volumes, and financial metrics.

about

KOSPI/KOSDAQ Stock Data is a community-built MCP server published by dragon1086 that provides AI assistants with tools and capabilities via the Model Context Protocol. Access real-time KOSPI stock index data with tools for ticker symbols, OHLCV, market cap, and trading activity via pykrx It is categorized under finance, analytics data. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install KOSPI/KOSDAQ Stock Data 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

KOSPI/KOSDAQ Stock Data 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.

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FAQ

What is the KOSPI/KOSDAQ Stock Data MCP server?
KOSPI/KOSDAQ Stock Data 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 KOSPI/KOSDAQ Stock Data?
This profile displays 32 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 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

4.5★★★★★32 reviews
  • ★★★★★Omar Malhotra· Dec 20, 2024

    KOSPI/KOSDAQ Stock Data is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Dhruvi Jain· Dec 8, 2024

    We evaluated KOSPI/KOSDAQ Stock Data against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Oshnikdeep· Nov 27, 2024

    KOSPI/KOSDAQ Stock Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Noor Park· Nov 11, 2024

    Useful MCP listing: KOSPI/KOSDAQ Stock Data is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Ganesh Mohane· Oct 18, 2024

    According to our notes, KOSPI/KOSDAQ Stock Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Naina Ghosh· Oct 2, 2024

    KOSPI/KOSDAQ Stock Data reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Maya Yang· Sep 21, 2024

    KOSPI/KOSDAQ Stock Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★William Khanna· Sep 9, 2024

    We evaluated KOSPI/KOSDAQ Stock Data against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Daniel Bansal· Aug 28, 2024

    KOSPI/KOSDAQ Stock Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Aarav Chawla· Aug 12, 2024

    We evaluated KOSPI/KOSDAQ Stock Data against two servers with overlapping tools; this profile had the clearer scope statement.

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