"Managing Social Media Content Creation Using Monday" matching MCP servers:

A lightweight TypeScript-based MCP server that demonstrates how to build custom MCP tools by implementing a simple addition calculator. Serves as a starting point for building MCP-compatible tools.

MCP server for E2B code sandbox, enabling creation, management, and execution of code in secure sandboxes using Python and shell commands.

Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.

A Model Context Protocol server that enables interaction with PostgreSQL databases for analyzing setups, debugging issues, managing schemas, migrating data, and monitoring performance.

A starter project for rapidly developing Model Context Protocol (MCP) servers using the TypeScript SDK and Zod schema validation. It includes example implementations for tools and resources to streamline the creation of custom MCP integrations.

Enables dynamic creation and execution of custom tools/functions in multiple programming languages at runtime, exposing them to MCP clients like Claude.

A foundational project for quickly developing Model Context Protocol servers using the TypeScript SDK and Zod for schema validation. It features pre-implemented examples for tools like a calculator and greeting service, along with templates for managing dynamic resources.

Enables automation of Google Jules AI coding assistant through task creation, code review automation, repository management, and AI-powered development workflows. Supports multiple session modes including cloud deployment with persistent authentication.

A Model Context Protocol server implementation that enables secure remote command execution via SSH, with features for managing and using SSH credentials.

An MCP server that enables AI agents to interact with the Godot game engine by launching the editor, running projects, capturing debug output, and managing scenes and resources. It provides tools for project analysis, scene creation, and execution control to help agents understand and debug Godot projects in real-time.

A comprehensive Model Context Protocol server that provides advanced Node.js development tooling for automating project creation, component generation, package management, and documentation with AI-powered assistance.

Enables AI assistants to perform 3D modeling and CAD operations in FreeCAD, including geometry creation, boolean operations, and document management.

react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts

Enables AI-powered creation, configuration, and management of DevContainer environments using natural language prompts. Supports 11+ templates for popular development stacks and provides container lifecycle operations through VS Code, Cursor, or any MCP-compatible editor.

Dynamic MCP server for Node.js enabling runtime tool creation, management, and execution in isolated sandboxes (Docker or Node).

A Model Context Protocol server that connects Claude AI to QGIS, enabling direct interaction with the GIS software for project creation, layer manipulation, code execution, and processing algorithms through natural language prompts.

Connects SideFX Houdini to Claude via the Model Context Protocol, enabling node creation, modification, and code execution through natural language.

Enables pattern-based file editing operations using copy/paste functionality with text landmarks instead of exact string matching. Allows AI agents to efficiently manipulate file content by identifying code patterns and insertion points without consuming large amounts of context tokens.

A comprehensive system for managing AI-assisted agile development workflows with a modern, resource-based API using FastMCP.

Enables creation of ephemeral, polyglot development environments using Nix for on-demand execution of code with specific dependencies across Python, Node.js, Ruby, R, and Lua without cluttering the system.