coincap-mcp is a server that allows users to query cryptocurrency information from the Coincap public API without requiring API keys or registration. It provides tools for fetching crypto prices, listing available assets, and retrieving market cap data.
coincap-mcp simplifies access to cryptocurrency data by providing a ready-to-use interface to the Coincap API. It is especially useful for developers integrating crypto-related features into their applications, like querying Bitcoin prices or Ethereum's market cap, with minimal setup.
Developers working on projects involving cryptocurrency data, such as price tracking tools, dashboards, or financial applications, can benefit from coincap-mcp. Additionally, users of Claude Desktop who need quick access to crypto information via configured prompts can leverage this tool.
coincap-mcp can be integrated into local development environments or deployed within applications using Node.js 18+. It works seamlessly with Claude Desktop when configured properly in its settings file (e.g., MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json).
coincap-mcp should be used whenever you need real-time cryptocurrency data without managing API keys. It is ideal for rapid prototyping, building crypto-focused tools, or enabling custom queries in applications like Claude Desktop.
You can install coincap-mcp manually by cloning the repository and running `npm install` followed by `npm run build`. Alternatively, you can use Smithery CLI with the command: `npx -y @smithery/cli install coincap-mcp --client claude`.
To run coincap-mcp, you need Node.js version 18 or higher and npx installed on your system. Additionally, ensure that your environment supports TypeScript compilation if modifying the source code.
Yes, you can develop and test coincap-mcp locally. Use `npm run watch` for auto-rebuilding during development, and update your Claude Desktop configuration to point to the local build path (e.g., `/path/to/coincap-mcp/build/index.js`).
coincap-mcp offers several tools, including a Bitcoin Price Tool for fetching Bitcoin's price, a Get Crypto Price Tool for any cryptocurrency, and a List Assets tool to retrieve all available crypto assets from the Coincap API.
Yes, coincap-mcp is open-source and licensed under the MIT License. You can view the source code and contribute to the project on GitHub at QuantGeekDev/coincap-mcp.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.