Agentic Control Framework (ACF)
Related Servers
Alternatives to Agentic Control Framework (ACF)
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides 300+ MCP tools for orchestrating AI agents — including swarm coordination, self-learning memory, and task management — enabling MCP clients like Claude Code and Cursor to spawn, coordinate, and learn from specialist agents across sessions.13,918 npm1MIT
- AlicenseAqualityCmaintenanceA task-based AI orchestrator that bridges AI models (Gemini, Claude, OpenAI) with local environments, operating as an interactive CLI and an MCP server for structured autonomous development.218 npmMIT
- AlicenseNot gradedqualityAmaintenanceEquips AI assistants and MCP clients with software development tooling for deep research, codebase mapping, PRD and user story generation, project scaffolding, and multi-step workflow execution. It also provides AI-native task management and context curation, usable through an MCP server, a natural-language CLI, or an interactive REPL.18 npmMIT
- AlicenseNot gradedqualityBmaintenanceA cross-platform local AI-agent runtime and MCP gateway that exposes 279 tool definitions (267 advertised by default) for local files, Git, processes, Windows automation, WSL, browser control, Office semantic automation, and extensibility. It enables durable goal continuation, Engineering Harness workflows, context capsules, indexing, and resource-aware concurrent agent tasks through a single governed MCP connection.MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP-native agentic platform orchestrating planner/executor/critic agents over hybrid RAG with three-tier memory, budget enforcement, safety guardrails, and full observability. It exposes all capabilities as MCP tools, enabling natural-language control of document ingestion, retrieval-augmented generation, and multi-step AI workflows.MIT
- AlicenseNot gradedqualityAmaintenanceEquips AI assistants and MCP-compatible clients with software development tools for deep research, requirements and PRD generation, user stories, task lists, codebase mapping, context curation, and full-stack project scaffolding. It also runs multi-step workflows and AI-native task management over stdio or SSE transports.18 npmMIT
TDQS
Scored across 69 tools
Tools are generally distinct in purpose but there is overlap between similar task priority tools (bump, defer, prioritize, deprioritize) and execution tools (execute_command vs applescript_execute). The numerous browser tools are well-distinguished by action.
Naming conventions are mixed: some use snake_case (browser_navigate, read_file), others use camelCase (addTask, getContext), and a few are inconsistent (parsePrd, updateTask). This lack of pattern reduces predictability.
69 tools is too many for a single MCP server, resulting in an overly broad surface. While the framework covers many domains (browser, file system, tasks, processes), the count suggests inadequate modularization.
The tool set covers CRUD for files and tasks, comprehensive browser interactions, process management, and configuration. Minor gaps exist (e.g., no browser scroll), but overall it's thorough for the intended scope.