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CoinStats▌

coinstatshq

by coinstatshq

Get real-time coin stock prices, track your portfolio, and view crypto coin price live with CoinStats. Access live crypt

Provides real-time cryptocurrency market data, portfolio tracking, and news through direct access to the CoinStats API for retrieving coin information, market trends, wallet balances, and exchange integrations.

github stars

★ 13

GitHubnpm
0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct CoinStats API integrationReal-time market data accessPortfolio tracking capabilities

best for

  • / Crypto traders monitoring market data
  • / Portfolio management and tracking
  • / Financial applications needing crypto data
  • / Automated crypto market analysis

capabilities

  • / Retrieve real-time cryptocurrency prices
  • / Access market trends and analytics
  • / Track portfolio balances across wallets
  • / Fetch cryptocurrency news and updates
  • / Query coin information and metadata
  • / Monitor exchange integrations

what it does

Connects to the CoinStats API to fetch real-time cryptocurrency prices, market data, portfolio information, and crypto news. Requires a CoinStats API key to access their financial data services.

about

CoinStats is an official MCP server published by coinstatshq that provides AI assistants with tools and capabilities via the Model Context Protocol. Get real-time coin stock prices, track your portfolio, and view crypto coin price live with CoinStats. Access live crypt It is categorized under finance, analytics data.

how to install

You can install CoinStats 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.

license

MIT

CoinStats is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

CoinStats MCP Server

MCP Server for the CoinStats API. Provides access to cryptocurrency market data, portfolio tracking, and news.

<a href="https://glama.ai/mcp/servers/@CoinStatsHQ/coinstats-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@CoinStatsHQ/coinstats-mcp/badge" alt="CoinStats Server MCP server" /> </a>

Setup

API Key

You need a CoinStats API key. Obtain one from the CoinStats API Dashboard. Read API docs.

Usage with MCP clients

Add the following to your client configuration:

Cursor

Install MCP Server

NPX

{
  "mcpServers": {
    "coinstats-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@coinstats/coinstats-mcp"
      ],
      "env": {
        "COINSTATS_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Replace <YOUR_API_KEY> with your actual CoinStats API key.

Docker

{
  "mcpServers": {
    "coinstats-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "COINSTATS_API_KEY",
        "coinstats/coinstats-mcp"
      ],
      "env": {
        "COINSTATS_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Replace <YOUR_API_KEY> with your actual CoinStats API key.

Build

To build the project locally:

npm run build

This command installs dependencies, compiles TypeScript to JavaScript, and sets execute permissions.

License

This MCP server is licensed under the MIT License. See the standard MIT License text for details.

FAQ

What is the CoinStats MCP server?
CoinStats 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 CoinStats?
This profile displays 62 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 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

4.8★★★★★62 reviews
  • ★★★★★Shikha Mishra· Dec 28, 2024

    CoinStats is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Naina Jain· Dec 24, 2024

    CoinStats is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Yuki Haddad· Dec 24, 2024

    According to our notes, CoinStats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Kiara Farah· Dec 12, 2024

    I recommend CoinStats for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Maya Wang· Dec 4, 2024

    Useful MCP listing: CoinStats is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Carlos Choi· Nov 23, 2024

    Strong directory entry: CoinStats surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Yuki Nasser· Nov 23, 2024

    CoinStats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Yash Thakker· Nov 19, 2024

    CoinStats is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Sophia Martinez· Nov 19, 2024

    I recommend CoinStats for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Ira Rao· Nov 15, 2024

    CoinStats is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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