A Model Context Protocol server that integrates with NeverBounce API to validate email addresses, checking if they are valid, deliverable, and safe to send to.

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.

Enables interaction with the Things app through Claude Desktop, allowing task creation, project analysis, and priority management using natural language commands.

This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.

This server provides access to the Perplexity AI API, enabling interaction through chatting, searching, and documentation retrieval within MCP-based systems.

Enables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.

Enables integration with OpenMetadata by wrapping its REST API for standardized interaction through the Model Context Protocol.

List of small useful mcp servers including:
- docx_replace: replace tag in word document
- yt-dlp: extract chaper and subtitles base on chapter
- mermaid: generate and render image using mermaidchart.com API

Enables interaction with a running Clojure nREPL instance for evaluating Clojure code, inspecting namespaces, and retrieving connection statuses, compatible with MCP clients like Claude Desktop and CLine in VSCode.

Enables interaction with Redmine projects and issues via the Cline VS Code extension, supporting project management and issue creation through the Model Context Protocol.

A MCP server for managing and storing code snippets in various programming languages, allowing users to create, list, and delete snippets via a standardized interface.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

An MCP server that provides LLMs access to other LLMs

A framework to use with AI to easily create a server for any service. Just drop the API Documentation in it and ask to create the MCP.

A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).

A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities.

Implements a Model Context Protocol (MCP) server powered by Flux API from Cephalon Cloud, enabling users to utilize advanced AI capabilities through standardized communication.

A server for managing and summarizing notes using a custom URI scheme, with tools to add notes and create styled summaries.