Model Context Protocol

Manus MCP Server

Multi-Agent Orchestration & Universal Tooling

Securely connect to the Manus AI platform. This managed MCP server allows your agents to dispatch tasks to specialized Manus agents, query memory, and orchestrate multi-step research workflows.

Enterprise teams use Manus MCP to run autonomous departments. Your primary agent can act as a project manager, dispatching sub-tasks like 'Perform a competitive analysis' to a specialized Manus Research Agent. Manus performs the deep-web searching and data synthesis, then returns the results to your primary agent for final report drafting.

  • ✓Delegate complex research to specialized autonomous agents
  • ✓Orchestrate multi-step workflows across different AI personalities
  • ✓Access a universal library of tools via the Manus bridge
  • ✓Persistent agent memory for long-term project contexts
Deploy Managed ServerExplore Integrations
mcp-config.json
{
  "mcpServers": {
    "manus": {
      "command": "npx",
      "args": [
  "-y",
  "manus-mcp"
],
      "env": {
        "MANUS_API_KEY": "your_manus_api_key"
      }
    }
  }
}
Real-World Automation

Common Workflows

See how teams combine this MCP with other tools to automate real business processes.

Autonomous Competitive Intelligence

Scenario: A new competitor launches. AI orchestrates a full deep-dive report without human input.
Steps:
  1. AI detects the new competitor mention via X-com MCP
  2. Manus MCP dispatches a research task to the 'Web Search Agent'
  3. Manus agent performs 20+ web searches and extracts data
  4. Manus MCP returns synthesized data to the primary AI
  5. AI drafts a 5-page PDF report and uploads to Google Drive
Outcome: Team gets a comprehensive market report within 15 minutes of a competitor launch. Always stay ahead.
Protocol Definition

Available Tools — In Depth

Detailed reference for each tool exposed by this MCP server, with examples and related use cases.

⚒

dispatch_task

Sends a complex task to a specialized Manus agent

⚒

get_agent_status

Checks the progress and health of a dispatched task

⚒

collect_results

Retrieves the final output and assets from a Manus agent

⚒

query_agent_memory

Accesses historical context and research data from Manus

⚒

list_available_agents

Returns a list of specialized agents ready for tasks

Setup Guide

Configuration & Best Practices

Setup Checklist

  • ✓
    MANUS_API_KEY (required)
    Generate in your Manus AI Dashboard under Settings → API.

When to Use Manus MCP Server vs. Alternatives

Use This MCP When:

  • You need AI-native access via natural language
  • Your workflows span multiple tools (MCP composability)
  • You prefer cloud hosting over local Docker
  • You want zero-config deployment with ClawFast
  • Your use case requires LLMs to reason and act autonomously

Consider Alternatives When:

  • You need bulk data sync (use native export/import)
  • Real-time streaming is critical (use native webhooks)
  • You have strict compliance requiring direct API audit logs
  • Your integration is a one-off script (direct SDK may be simpler)
  • You need features not yet exposed by this MCP server
FAQ

Common Questions About Manus MCP Server

No additional FAQs for this MCP yet.

Technical Specifications

Protocol
SSE (Server-Sent Events)
Transport
HTTPS (TLS 1.3)
Authentication
Bearer token (Manus API Key)
Hosting
Manus Cloud / ClawFast Bridge

Why Managed MCP?

Model Context Protocol (MCP) is the new standard for AI connectivity. While you can host servers locally, ClawFast provides a production-grade managed environment.

  • 24/7 Availability: No need to keep your local machine running.
  • Secure Secrets: API keys are encrypted at rest and never exposed to logs.
  • SSE Protocol: Native Server-Sent Events (SSE) support for cloud-to-cloud connectivity.
  • Zero Config: One-click deployment with pre-configured templates.

Looking for more ways to use Manus MCP Server?

Explore our high-level integration page for Manus MCP Server to see business use cases and ready-to-use AI agent templates.

View Manus MCP Server Integrations →

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