MCP Servers

Memphis – Self‑Evolving AI Agent Runtime

Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents

Modular AI-powered resume and job analysis platform using CrewAI and MCP servers. Features include resume parsing, job description analysis, ATS optimization, real-time feedback, scoring, bulk compari

This repository contains an Electron-based desktop application that interacts with the Rijksmuseum MCP server, enabling AI-powered exploration of the Rijksmuseum's art collection through a chat interface. This repository contains an

Instant SEO, performance, and security audits for any URL — an MCP server for AI agents

The Verodat MCP Server repository provides a Model Context Protocol implementation for integrating Verodat's data management with AI systems like Claude Desktop, enabling account, workspace, and dataset operations.

This repository provides the MCP Server, enabling AI assistants to safely utilize external tools like Python and web access. It enhances data processing and error handling, empowering bots to solve problems effectively.

This repository provides a Model Context Protocol (MCP) server for interacting with fal.ai models, enabling listing, searching, schema retrieval, content generation, queue management, and file uploads. This repository provides a

Hypergraphic-FMOps is a tool that leverages the power of advanced AI models (OpenAI's GPT-4 and Anthropic's Claude-2) to analyze software architecture descriptions. Simply provide a description of you

This repository demonstrates Spring AI's integration with the Model Context Protocol (MCP) using Spring Boot, showcasing both server and client implementations for services like geocoding and timezone retrieval, enabling LLM interaction.

Find and verify business emails with an open-source MCP server using DNS, SMTP checks, and web scraping without paid API subscriptions.

Hyper-mcp is a fast, secure MCP server that enhances applications with AI capabilities through WebAssembly plugins. It allows developers to write plugins in any language and distribute them via OCI registries.

Turn MCP servers, OpenAPI specs, or GraphQL endpoints into efficient CLIs at runtime with zero code generation and minimal token use.

Scan AI artifacts like agent skills and config files for security risks, privacy issues, and instruction-level attacks with a Python CLI tool.

Mount MCP servers as filesystems to access reads via standard file commands and perform writes through a CLI tool.