QSL World offers an AI-powered tool to visualize ham radio contacts by uploading ADIF files and generating an interactive map. The tool integrates with QRZ.com for accurate data and allows users to select QSL card designs for confirmations.
This article lists and ranks the top Model Context Protocol (MCP) servers on GitHub as of June 2025, highlighting their capabilities and emphasizing the importance of security when granting agents access to sensitive data. It positions Pomerium as a solution for enforcing policy and securing agentic access to MCP servers.
|**GitHub Repository** |**Description** |
|---------------------------------|-----------------------------------------------------------------------------|
| github/github-mcp-server | Manages GitHub issues, pull requests, discussions with identity & permissions. |
| microsoft/playwright-mcp | Triggers browser automation tasks (QA, scraping, testing). |
| awslabs/mcp | Exposes AWS documentation, billing data, and service metadata. |
| hashicorp/terraform-mcp-server | Secure access to Terraform providers and modules. |
| dbt-labs/dbt-mcp | Exposes dbt’s semantic layer and CLI commands. |
| getsentry/sentry-mcp | Access to Sentry error tracking and performance telemetry. |
| mongodb-js/mongodb-mcp-server | Interacts with MongoDB and Atlas instances securely. |
| StarRocks/mcp-server-starrocks | Brings MCP to the StarRocks SQL engine. |
| vantage-sh/vantage-mcp-server |Focuses on cloud cost visibility. |
|**GitHub Repository** |**Description** |
|---------------------------------|-----------------------------------------------------------------------------|
| github/github-mcp-server | Manages GitHub issues, pull requests, discussions with identity & permissions. |
| microsoft/playwright-mcp | Triggers browser automation tasks (QA, scraping, testing). |
| awslabs/mcp | Exposes AWS documentation, billing data, and service metadata. |
| hashicorp/terraform-mcp-server | Secure access to Terraform providers and modules. |
| dbt-labs/dbt-mcp | Exposes dbt’s semantic layer and CLI commands. |
| getsentry/sentry-mcp | Access to Sentry error tracking and performance telemetry. |
| mongodb-js/mongodb-mcp-server | Interacts with MongoDB and Atlas instances securely. |
| StarRocks/mcp-server-starrocks | Brings MCP to the StarRocks SQL engine. |
| vantage-sh/vantage-mcp-server |Focuses on cloud cost visibility. |
This guide highlights 10 open-source MCP (Model Context Protocol) servers to boost productivity in Cursor, covering tools for API work, web scraping, design integration, and document conversion.
| **Server Name** | **Primary Function** | **Key Features** |
|---|---|---|
| Apidog MCP Server | API Development | Syncs with API docs, natural language queries, local caching. |
| Browserbase MCP Server | Web Interaction & Automation | Cloud browser sessions, screenshots, JavaScript execution. |
| Magic MCP Server | Generative AI | Placeholder images, text transformation, code generation. |
| Opik MCP Server | Real-time Web Search | Web search integration, content summarization, source citations. |
| Figma Context MCP Server | Design-to-Code | Access Figma data, convert designs to code, analyze UI elements. |
| Pandoc MCP Server | Document Conversion | Converts between Markdown, PDF, HTML, DOCX, etc. |
| Excel MCP Server | Excel Data Access | Read/write Excel data, generate visualizations, automate reporting. |
| Mindmap MCP Server | Mindmap Integration | Import/interpret mindmaps, convert to outlines, collaborative planning. |
| Markdownify MCP Server | Content to Markdown | Converts HTML to Markdown, cleans documentation. |
| Tavily MCP Server | Curated Knowledge | High-quality knowledge retrieval, AI-friendly summaries, multi-source aggregation. |
| **Server Name** | **Primary Function** | **Key Features** |
|---|---|---|
| Apidog MCP Server | API Development | Syncs with API docs, natural language queries, local caching. |
| Browserbase MCP Server | Web Interaction & Automation | Cloud browser sessions, screenshots, JavaScript execution. |
| Magic MCP Server | Generative AI | Placeholder images, text transformation, code generation. |
| Opik MCP Server | Real-time Web Search | Web search integration, content summarization, source citations. |
| Figma Context MCP Server | Design-to-Code | Access Figma data, convert designs to code, analyze UI elements. |
| Pandoc MCP Server | Document Conversion | Converts between Markdown, PDF, HTML, DOCX, etc. |
| Excel MCP Server | Excel Data Access | Read/write Excel data, generate visualizations, automate reporting. |
| Mindmap MCP Server | Mindmap Integration | Import/interpret mindmaps, convert to outlines, collaborative planning. |
| Markdownify MCP Server | Content to Markdown | Converts HTML to Markdown, cleans documentation. |
| Tavily MCP Server | Curated Knowledge | High-quality knowledge retrieval, AI-friendly summaries, multi-source aggregation. |
Running GenAI models is easy. Scaling them to thousands of users, not so much. This guide details avenues for scaling AI workloads from proofs of concept to production-ready deployments, covering API integration, on-prem deployment considerations, hardware requirements, and tools like vLLM and Nvidia NIMs.
This article details a schema-grounded approach to Conversational User Interface (CUI) development using OpenCUI, focusing on declaring schemas, attaching interaction and language annotations, and leveraging statecharts for efficient dialog management. It emphasizes building CUIs around backend service APIs.
This tutorial details how to use FastAPI-MCP to convert a FastAPI endpoint (fetching US National Park alerts) into an MCP-compatible server. It covers environment setup, app creation, testing, and MCP server implementation with Cursor IDE.
This article details a comparison between Model Context Protocol (MCP) and Function Calling, two methods for integrating Large Language Models (LLMs) with external systems. It covers their architectures, security models, scalability, and suitable use cases, highlighting the strengths and weaknesses of each approach.
MCP is best suited for robust, complex applications within secure enterprise environments, while Function Calling excels in straightforward, dynamic task execution scenarios. The choice depends on the specific needs, security requirements, scalability needs, and resource availability of the project.
MCP is best suited for robust, complex applications within secure enterprise environments, while Function Calling excels in straightforward, dynamic task execution scenarios. The choice depends on the specific needs, security requirements, scalability needs, and resource availability of the project.
This article discusses using entropy and variance of entropy (VarEntropy) to detect hallucinations in LLM function calling, focusing on how structured outputs allow for identifying errors through statistical anomalies in token confidence.
Huginn is presented as a robust, open-source alternative to IFTTT, offering greater customization, privacy through self-hosting, and the ability to handle complex workflows with API integrations. While it requires more technical expertise than IFTTT, it provides significantly more power and control.
This Space demonstrates a simple method for embedding text using a LLM (Large Language Model) via the Hugging Face Inference API. It showcases how to convert text into numerical vector representations, useful for semantic search and similarity comparisons.
