Best of mcp — August 2025

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    Article
    Avatar of thomasthorntonThomas Thornton·35w

    Docker MCP Toolkit: Hassle-Free Local Agentic AI with MCP Servers

    Docker MCP Toolkit simplifies running Model Context Protocol servers locally, enabling AI agents to interact with APIs, cloud services, and tools without complex configuration. The toolkit provides a Docker Desktop extension with a searchable catalog of MCP servers for GitHub, Jira, Terraform, and more. It offers secure containerized environments, instant connections to AI tools like GitHub Copilot and Claude, and eliminates manual setup overhead for developers building agentic AI workflows.

  2. 2
    Article
    Avatar of dockerDocker·34w

    Docker MCP for AI Agents: Real-World Developer Setup

    A comprehensive guide to building AI agents using Docker MCP Toolkit, demonstrating how to create a GitHub repository question-answering agent. The setup uses Docker containers for isolation, MCP Gateway for tool integration, and Docker Compose for orchestration. The approach eliminates environment drift, simplifies scaling, and provides a production-ready development pattern that works consistently from local development to CI/CD pipelines.

  3. 3
    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·33w

    Build a 100% local MCP Server and Client

    Learn to build a completely local Model Context Protocol (MCP) server and client setup for enterprise-grade AI applications. The tutorial covers creating MCP servers using FastMCP, building secure local clients with mcp-use library, and integrating with Stagehand for browser automation. This approach keeps data on your own servers while enabling AI agents to perform tasks like web scraping and form filling through natural language commands.

  4. 4
    Article
    Avatar of huggingfaceHugging Face·34w

    MCP for Research: How to Connect AI to Research Tools

    Model Context Protocol (MCP) enables AI systems to automate academic research discovery by connecting to tools that search across platforms like arXiv, GitHub, and Hugging Face. The approach progresses through three abstraction layers: manual research, scripted automation, and AI-orchestrated natural language workflows. MCP allows researchers to use natural language requests to gather comprehensive information about papers, implementations, and related resources, though it requires human oversight for quality control.

  5. 5
    Article
    Avatar of gettingstartedaiGetting started with AI·34w

    AutoGen and MCP

    Learn how to enhance AutoGen agents by connecting them to MCP (Model Context Protocol) servers, giving them access to external tools and capabilities. The tutorial demonstrates setting up a Python application with three agents that can communicate with both local and remote MCP servers, including a web fetching server and a custom C# server. Using the autogen-ext[mcp] extension, developers can easily integrate any MCP-compliant server to expand their agents' functionality beyond basic chat interactions.

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    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·33w

    Build Production-grade MCP Servers

    Postman's MCP Generator enables developers to build production-grade Model Context Protocol (MCP) servers in under a minute without writing code. The tool allows selection from 100k+ APIs in Postman's public network, automatically generates server code, and provides easy integration with MCP clients like Claude Desktop. The process involves selecting APIs, downloading generated code, configuring environment variables, and adding the server to your MCP client configuration.

  7. 7
    Article
    Avatar of Marmelabmarmelab·34w

    Bring MCP Support To Your Shadcn Registry

    Marmelab demonstrates how to integrate MCP (Model Context Protocol) support with their Shadcn Admin Kit registry, enabling AI-powered IDEs like Cursor to automatically install and configure React admin components. The implementation involves setting up an MCP server configuration, creating Cursor rules files for better AI guidance, and using the shadcn CLI's canary features to build MCP-compatible registries. The tutorial shows how developers can bootstrap complete admin applications with just a few prompts, including automatic component installation, configuration setup, and even custom icon integration.

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    Article
    Avatar of phProduct Hunt·32w

    Technical SEO MCP: Run technical SEO in Claude, Claude Code, Amp, LM Studio …

    Technical SEO MCP is a tool that integrates with Claude Desktop, Claude Code, Amp, and LM Studio to automate technical SEO audits. It performs crawlability checks for search engines and AI assistants, runs PageSpeed Insights and Core Web Vitals analysis, and can process multiple websites simultaneously. The tool aims to reduce manual copy-paste work for SEO consultants and agencies when prospecting clients or auditing websites.

  9. 9
    Article
    Avatar of mitsuhikoArmin Ronacher·34w

    Your MCP Doesn’t Need 30 Tools: It Needs Code

    MCP servers can be more effective with a single code execution tool rather than multiple specialized tools. The author demonstrates how a Python interpreter with pexpect can handle complex debugging tasks through stateful sessions, allowing AI agents to write and execute code directly. This approach reduces tool complexity from 30+ tools to one while maintaining state between calls and enabling script generation for reuse.

  10. 10
    Video
    Avatar of bytegradByteGrad·35w

    Automate Your Blog With n8n AI-Agent + WordPress MCP

    Learn how to automate WordPress blog management using n8n workflows and AI agents powered by the WordPress MCP (Model Context Protocol). The setup allows AI agents to autonomously create, update, and manage WordPress posts without manual dashboard access. The workflow involves connecting an AI agent in n8n to WordPress through MCP, which exposes WordPress functionalities as tools the agent can use. This enables hands-off content management where you can provide natural language prompts and the AI decides which actions to take, making blog automation more sophisticated and easier to implement than traditional deterministic workflows.

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    Article
    Avatar of bartwullemsThe Art of Simplicity·34w

    View your installed MCP servers in VSCode

    VS Code now provides a centralized management interface for Model Context Protocol (MCP) servers through the Extensions tab. This unified view displays all installed MCP servers regardless of their configuration source, shows server status, and offers right-click context menu options for server lifecycle management, debugging, configuration viewing, and resource browsing. The interface addresses the complexity of managing MCP servers across multiple configuration points including workspace settings, user settings, automatic discovery, and command-line options.

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