manus-mcp-server
A remote MCP server that wraps the Manus API to expose a generate_image tool, enabling Claude to request image generation via Manus.
README
manus-mcp-server
A Remote MCP server that wraps the Manus API and exposes a generate_image
tool, so Claude (web/app) can request images and have Manus generate them.
How it works
Manus's API is a general task API, not a dedicated image endpoint. This server:
- Receives a
generate_imagetool call from Claude (prompt, optional style/aspect ratio). - Creates a Manus task asking the agent to produce an image and return it as a file.
- Polls the task until it completes (or times out after 4 minutes).
- Returns the resulting file URL(s) back to Claude as the tool result.
1. Deploy on Railway
- Push this repo to GitHub.
- In Railway: New Project → Deploy from GitHub repo → select this repo.
- Railway will detect
railway.jsonand use Nixpacks to runnpm install && npm run build, thennpm start. - In the Railway project, go to Variables and set:
MANUS_API_KEY— your Manus API key.MANUS_API_BASE_URL— defaults tohttps://api.manus.im/v1; check your Manus API docs/dashboard and adjust if different.MCP_SERVER_TOKEN— make up a long random string (e.g.openssl rand -hex 32). This protects your server from being called by strangers.PORT— Railway sets this automatically; no action needed.
- Once deployed, go to Settings → Networking → Generate Domain to get a public HTTPS URL, e.g.
https://manus-mcp-server-production.up.railway.app. - Confirm it's alive: visit
https://<your-domain>/health— should return{"status":"ok"}.
2. Verify the Manus API endpoint shape
The exact paths (/tasks, response field names like task_id vs id) can
vary by account/API version. Before relying on this in production:
- Check
https://manus.im/docs/integrations/manus-api(or your account's API reference) for the current create-task and get-task endpoints and response fields. - If they differ from what's in
src/manusClient.ts, adjust the constants at the top of that file (CREATE_TASK_PATH,GET_TASK_PATH, and the field names read increateImageTask/getTask) and redeploy. - Easiest way to check without guessing: make one manual
curlcall to create a task and print the raw JSON, then match the field names.
3. Connect it to Claude
In Claude (web or app): Settings → Connectors → Add custom connector (the exact label may read "Remote MCP server" or similar).
- URL:
https://<your-railway-domain>/mcp - Auth: if Claude's UI supports a custom header/bearer token field, set
it to
Bearer <your MCP_SERVER_TOKEN>. If it only supports OAuth, you'll need to either leaveMCP_SERVER_TOKENunset (open server — only do this if you're comfortable with that) or add an OAuth layer in front (out of scope here, ask if you want this built).
Once connected, you can just ask Claude for an image and it will call the
generate_image tool automatically.
Local development
npm install
cp .env.example .env # fill in your real values
npm run dev
Server runs at http://localhost:3000/mcp.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.