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A sample MCP server implementation for Next.js projects that uses the Vercel MCP Adapter to handle protocol requests across different transport methods.

Enables AI agents to analyze Screaming Frog SEO Spider crawl files directly, offering SEO audits, issue summaries, custom SQL queries, and comparisons without manual exports.

This MCP server, developed by orliesaurus, provides a standardized interface for querying and retrieving data from PulseMCP, a service that collects information about MCP servers and clients. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers capabilities for listing MCP servers and available integrations. The implementation focuses on efficient pagination and filtering of server data, enabling AI models to access up-to-date information about the MCP ecosystem. By connecting AI assistants with PulseMCP's aggregated data, this server allows for sophisticated scenarios like discovering relevant MCP implementations, analyzing integration trends, and automating the selection of appropriate MCP servers for specific tasks. It's particularly useful for applications and AI systems that need to dynamically interact with or recommend MCP services based on real-time ecosystem data.

Enables interaction with the APVISO AI-powered penetration testing platform to manage targets, initiate scans, and retrieve vulnerability findings. It allows developers to integrate security testing workflows directly into MCP-compatible tools like Claude Code and Cursor.

A command-line interface MCP server that enables interactive chat with Anthropic AI models, supporting document retrieval and extensible command-based tools.

Security scanner for MCP servers - detects tool poisoning and injection

Fetches web pages and converts them to clean, readable markdown format by extracting main content while removing navigation, ads, and other non-essential elements to minimize token usage.

Enables AI cost calculation, comparison, and optimization across major providers like Anthropic, OpenAI, Google, Meta, and Mistral. Supports cost estimation, budget-aware model finding, and token estimation through a simple API and MCP integration.

Enables AI models to access and manage SSH connections through a standardized interface, allowing AI assistants to perform SSH operations like connecting to servers, executing commands, and managing files.

Provides direct access to Flowbite-Svelte component documentation through specialized tools for finding components, retrieving detailed docs, browsing available components, and performing full-text searches across the complete documentation library.

MCP server that lets LLMs fetch and read Reddit posts, comments, and subreddit listings — no API keys required

Connects to Banco BRB via Open Finance Brasil to read balances, statements, card invoices, and investments using natural language.

AI-powered social media posting across 14 platforms. Post to Twitter, Instagram, TikTok, Facebook, LinkedIn, YouTube and more with one command. AI adapts content per platform, schedules posts, and generates 30-day content calendars.

The Laws of the Game and world football's major competitions, every claim cited to primary sources

Provides hourly weather forecasts using the AccuWeather API, including current conditions and 12-hour forecast with precipitation details.

A postgresql mcp that you can run your DQL SQL though it

MCP server that exposes an Obsidian vault (search, read, create, and update notes) via Streamable HTTP.

This Obsidian MCP server, developed by cyanheads, enables AI models to interact with Obsidian vaults through a standardized interface. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides tools for file operations, content search, and metadata management within Obsidian. The implementation features atomic operations, efficient query processing, and automatic timestamp handling. It's particularly useful for AI assistants and applications needing to manage knowledge bases in Obsidian, enabling use cases like note-taking, content organization, and information retrieval without dealing directly with Obsidian's API complexities.

A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.

Provides comprehensive access to People Data Labs' data models and search capabilities, enabling enrichment of person and company profiles, multi-criteria searches, and autocomplete functionality through a Model Context Protocol interface.