"Kong" matching MCP servers:

Enables AI assistants to search restaurants, browse menus, build a cart, and place foodpanda orders in Hong Kong (or other configured regions) on the user's behalf.

Provides a moby-like random name generator through the MCP interface for generating Docker-style random names. Integrates with Claude Desktop and VS Code Copilot Agent to enable name generation functionality.

Enables local AI assistants to control video editing workflows, including projects, media pools, timelines, Fusion graphics, Fairlight audio, color grading, and render queues, through natural language over a local stdio connection.

Enables MCP clients to inspect operational status and channels, lint human-reviewed plans, search and query ledger data, and run queue-based writes with dry-run defaults and safeguards against unverified or unapproved campaigns.

Connects LLMs to the Fantasy Premier League API for intelligent team management, enabling natural language player research, competitor analysis, transfer decisions, and strategic planning using friendly names instead of IDs.

An MCP App message bridge that connects the AI living in a ChatGPT web conversation to your own home system, so chatbots, bots, and scheduled tasks can send it messages that it sees and answers right inside the conversation. It also exposes every home MCP server (search, notes, email, and more) through the single home_tools / home_call toolbox, letting one window reach all your tools.

Enables MCP-compatible AI assistants to control Adobe Premiere Pro through natural language, automating project and media management, timeline editing, color and audio adjustments, titles and markers, and batch exports via a local bridge.

Enables agents to persist and resume long-horizon tasks using cryptographic event-sourced checkpoints, idempotency deduplication, scheduled heartbeats, pause/resume tokens, and fail-safe recovery.

Intelligently generates cost estimates and lead times for manufacturing RFPs by parsing requests, matching against historical quotes, and calculating activity-based costs with confidence scoring and human approval workflows.