Thinking process for developing or using Cursor AI MCP servers

"Thinking process for developing or using Cursor AI" matching MCP servers:

• Todo for AI MCP Server

  todo-for-ai

  -

  security

  A

  license

  -

  quality

  Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

  Last updated 3 months ago

  28

  Apache 2.0

• Azure DevOps MCP Server for

  EreAlexandru

  -

  security

  F

  license

  -

  quality

  Enables interaction with Azure DevOps through natural language in Cursor IDE. Supports work item management, pull requests, builds, releases, test management, and guided workflows for development teams, QA testers, and release management.

  Last updated 7 months ago

  1

• kill-process-mcp

  misiektoja

  A

  security

  A

  license

  A

  quality

  An MCP server that allows users to list and kill operating system processes through natural language queries, making process management more intuitive across Windows, macOS, and Linux.

  Last updated a day ago

  2

  11

  Python

  GPL 3.0

• MCP Process Server

  Digital-Defiance

  -

  security

  A

  license

  -

  quality

  Enables AI agents to launch and manage system processes with strict security controls through executable allowlists, resource monitoring, and output capture capabilities.

  Last updated 3 days ago

  35

  1

  MIT

• n8n Manager for AI Agents

  czlonkowski

  -

  security

  A

  license

  -

  quality

  Enables AI agents to manage n8n workflow automation instances through tools for workflow CRUD operations, execution monitoring, and webhook triggering. It facilitates programmatic interaction with n8n instances via the n8n API with AI-optimized descriptions and error handling.

  Last updated 7 months ago

  49

  MIT

• Smart-Thinking

  Leghis

  A

  security

  A

  license

  A

  quality

  A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.

  Last updated 4 months ago

  1

  94

  31

  MIT