A
licenseNot graded
qualityA
maintenanceEnables AI clients to manage workspaces, projects, tasks, and AI agents through natural language, with hosted or local connection options and OpenAPI-to-MCP tool generation.
2,530 npm
MIT
Manus MCP
by nanameru
Related Servers
Alternatives to Manus MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants and IDEs to manage workspaces, projects, tasks, and AI agents through natural language, including creation, updates, completion, assignment, and automation. It also supports generating MCP tools from arbitrary OpenAPI specs for broader API integration.2,530 npmMIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to read TeamStorm tasks, comments, attachments, and links, and to perform limited write operations such as adding comments and updating task names, descriptions, or statuses through MCP.153MIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible AI clients to access and manage workspaces, projects, tasks, AI agents, automations, media, and Genesis app files through natural language.2,530 npmMIT
Anam MCP Serverofficial
AlicenseBqualityCmaintenanceEnables managing AI personas, avatars, voices, and sessions from any MCP client, for integration with Anam AI.54223 PyPI30MIT- FlicenseNot gradedqualityCmaintenanceLets AI assistants manage subscribers, trigger workflows, inspect notification events, and tune preferences across any MCP-compatible client.-
TDQS
B3.2/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: create_task handles AI task creation, create_webhook manages webhook registration, and delete_webhook handles webhook removal. There is no overlap in functionality, making tool selection straightforward for an agent.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern (create_task, create_webhook, delete_webhook) with clear, descriptive names. The naming convention is uniform throughout the set, enhancing readability and predictability.
Tool Count3/5
With only 3 tools, the set feels thin for a server named 'Manus MCP', which suggests a broader AI task management domain. While the tools are well-defined, the count is borderline low, potentially lacking operations like task retrieval, updates, or webhook listing.
Completeness2/5
The tool surface has significant gaps for AI task management: it includes create_task but no get_task, update_task, or delete_task, and for webhooks, it lacks list_webhooks. This incomplete CRUD coverage will likely cause agent failures in common workflows.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues