"Deploying a Website Using BaoTa (BT) Panel" matching MCP servers:

MCP server for Panel Todo — lets AI assistants manage your tasks, issues, and sprints directly in VS Code.

A platform that integrates and manages APIs from ByteDance's Ocean Engine (巨量引擎) advertising platform, providing unified access interfaces for e-commerce traffic acquisition scenarios.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Enables AI-powered task management with Google Gemini integration, providing CRUD operations, task analytics, CSV export, and natural language interaction for comprehensive project management.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

MCP server that connects AI assistants to Leapd, enabling them to launch and manage an AI-run business by creating tasks, deploying sites, and accessing business documents.

Enables Claude to interact with Jira, Salesforce, and n8n through MCP tools, allowing automated reading of Jira stories, deploying Salesforce metadata, and triggering n8n workflows.

Connects AI coding assistants to a team prototype hub for deploying, sharing, and gathering feedback on prototypes, with context sync across sessions.

Enables AI assistants to manage website feedback from Feedbucket, including listing, filtering, commenting on, and resolving feedback items through natural language interactions.

Enables AI coding agents to read, search, triage, and fix website and asset feedback from Simple Commenter, including commenting, replying, exporting, and project management via MCP.

A unified FastAPI web panel and single MCP gateway that aggregates knowledge base, cloud drive, kanban, memory, and ops agent capabilities for the Brain product family.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

A project state control plane for multiple AI agent sessions to share structured conclusions such as tasks, checkpoints, code maps, decisions, and handoffs. It enables agents to read and write persistent project state via MCP tools while humans track progress through a lightweight panel.

A simple MCP server that provides access to Jira issues from Cursor AI, allowing users to reference and query Jira tickets directly in the chat panel.

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.

Provides a self-hosted shared work queue for AI agents via MCP, using a local SQLite database for task management.