Discover and integrate MCP servers to extend Claude's capabilities
CCXT MCP Server bridges the gap between AI models and cryptocurrency trading by providing a standardized interface through the Model Context Protocol. Created to empower automated trading strategies, this tool allows AI assistants like Claude and GPT to directly interact with over 100 cryptocurrency exchanges without requiring users to write comple
MCP for the Alpaca trading API to manage stock and crypto portfolios, place trades, and access market data
Expose llms-txt to IDEs for development
An MCP server for executing token swaps on the Solana blockchain using Jupiter's new Ultra API.
An MCP server that delivers cryptocurrency sentiment analysis to AI agents.
mcp for controlling your x account through llm agents(claude desktop/cursor) expalnation vid: https://youtu.be/pAEEIVdsky8
An MCP server to read MCP logs to debug directly inside the client
An MCP server that autonomously evaluates web applications.
OpenWorkspace-o1 S3 Model Context Protocol Server.
A Model Context Protocol server that provides access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute MongoDB operations.
MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
Image generation server for Claude Desktop using EverArt's API.
Create crafted UI components inspired by the best 21st.dev design engineers.
Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).Query and analyze your Axiom logs, traces, and all other event data in natural language,
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.</br>This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand (Coming Soon). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
Contract and template management for drafting, reviewing, and sending binding contracts.
Immutable ledger database with live synchronization
Search dashboards, investigate incidents and query datasources in your Grafana instance
Tools for seamless integration of different systems and services.
Cloud infrastructure and deployment management tools.
AI-powered tools for creative design workflows across 3D and 2D mediums.
AI-powered tools for product development, design review, and performance monitoring.
Tools for monitoring, analytics, and operational efficiency.
Anthropic has recently introduced a groundbreaking update in the world of AI-powered development tools — Claude Code combined with the powerful MCP Servers. These innovations are set to redefine how developers interact with their codebases. In this article, we’ll explore a YouTube creator’s hands-on experience with Claude Code, its integration with real-world projects, and whether it could replace traditional tools like Cursor, Windsurf, and Lovable.
Discover my firsthand experience using [Claude code](https://claudecode.app) with various MCP servers for design and development. Learn how these powerful tools transformed my workflow and improved productivity across different roles.
Discover how enterprise teams, startups, and individual developers are using [Claude code](https://claudecode.app) to enhance their development processes. Learn from real-world case studies and success stories about legacy code modernization, rapid prototyping, and team productivity improvements.
Demo for the Blender MCP that lets Claude talk to Blender and manipulate it directly. In this case, we prompt “create a low poly dragon with a pot of gold”, followed by more prompting to add details like a dungeon, torches, and more detailed wings. Blender is manipulated in real-time, and since Claude can read the scene, it realises when its output is not right and self-corrects.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
