"Bilibili - Chinese Video Sharing Platform" matching MCP servers:

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

Orchestrates multiple Claude Code agents across iTerm2 sessions with process-level isolation, enabling collaborative AI development workflows on multiple codebases with task-based inter-agent communication and persistent state management.

Connects AI coding agents to a shared knowledge base by allowing them to search, retrieve, and contribute coding traces. It acts as a protocol adapter for the CommonTrace API, facilitating collaborative knowledge sharing through natural language queries and tool-based interactions.

An MCP (Model Context Protocol) server that enables integration with the Simplifier Low Code Platform. This server provides tools and capabilities for creating and managing Simplifier Connectors and BusinessObjects through the platform's REST API.

A cross-platform MCP server implementing the Ralph Loop iterative development technique where a worker model does the work and a reviewer model provides cross-model review until approval.

An MCP server that enables Claude and other LLM clients to access Hanzo AI platform capabilities and provide powerful code management tools for analyzing, modifying, and understanding projects.

Enables agents to generate typed client code from OpenAPI, GraphQL, Protobuf, and SQL specs using MetaEngine's code-generation platform.

A project intelligence platform for AI coding agents that scans, audits, generates, and monitors context files (CLAUDE.md, AGENTS.md, etc.) with drift detection and repair capabilities.

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Enables any MCP-compatible client to run reusable, Markdown-defined coding agents—such as reviewers, test writers, or investigators—by executing them through a chosen coding CLI backend and returning the results to the same conversation. Supports sharing agent definitions across clients, centralized backend and model configuration, and continued sessions across multiple calls.

Enables AI agents to browse, create, and manage apps on the FreeAppStore platform, including provisioning repositories, writing code, and deploying live.

Enables running reusable Markdown-defined coding agents through any MCP-compatible client by delegating tasks to a chosen coding CLI and returning results to the same conversation. Supports sharing agent definitions across clients, continuing sessions across calls, and configuring backend, model, and permission settings.

Enables Sublime Text to integrate with Claude Code via the IDE protocol, providing in-editor diff review, selection context sharing, and @-mentions through a local WebSocket/MCP server.

The AI-native Rust backend framework + generation platform. Help agents design, generate, verify and package complete backends.

A cross-platform desktop MCP server that allows Codex and other MCP clients to execute tasks via the Claude Agent SDK, providing tools for code generation, file editing, and task management with session continuation.

An MCP server that exposes the Symbols/DOMQL v3 AI assistant capabilities to any MCP-compatible platform. Enables generating components, pages, projects, and more from natural language, as well as searching documentation and reviewing code.

It enables a primary AI assistant to delegate tasks in parallel to specialized sub-agent CLIs like Gemini, Claude, Codex, and Cursor from a single IDE prompt, sharing context and synthesizing their responses. This lets users solve complex engineering problems without manually copy-pasting between AI tools.

An MCP server that leverages Google Antigravity SDK and Gemini Enterprise Agent Platform to provide AI-driven code review and task execution via natural language.

Enables a primary AI coding assistant to delegate tasks in parallel to specialized CLI-based agents such as Gemini, Claude, Codex, and Cursor, sharing the same project context across all of them. It then aggregates and synthesizes their outputs into a single response, using existing local tools and subscriptions with no extra configuration.

Enables a primary AI assistant to delegate tasks to multiple specialized AI coding assistants in parallel from a single prompt, sharing project context and synthesizing their responses.