home_mcp_gateway
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@home_mcp_gatewayGenerate an image of a futuristic city"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
home_mcp_gateway
home_mcp_gateway is a local HTTP/SSE MCP gateway for ZeroClaw and other MCP clients. It centralizes tool calls, policy checks, artifact storage, jobs, and audit records behind one local MCP endpoint.
Normal users edit YAML under config/. The committed config/config.main.yaml is the application baseline, and the ignored config/config.yaml is your local runtime config.
Quick Start
Requirements:
Docker with Docker Compose
PowerShell on Windows for the helper scripts
Edit config/config.yaml and set at least callers.host_assistant.token, callers.role_default.token, and artifacts.signed_url_secret.
Build and run with Docker Compose:
docker compose up -d --buildThe default endpoint is http://127.0.0.1:8787.
Check health:
Invoke-RestMethod http://127.0.0.1:8787/healthz
Invoke-RestMethod http://127.0.0.1:8787/readyzRelated MCP server: jgkme/kilo-image-gen-mcp
MCP Client
Use the SSE transport URL:
[[mcp.servers]]
name = "home"
transport = "sse"
url = "http://127.0.0.1:8787/mcp"
deferred_loading = trueWhen another Docker Compose service connects to this gateway on the same Docker network, use:
[[mcp.servers]]
name = "home"
transport = "sse"
url = "http://home-mcp:8787/mcp"
deferred_loading = trueLocal Python Development
python -m pip install -e .
python -m app.mainThe default path is Docker Compose. Use local Python runs for development only.
Agents
Manage agents in the WebUI or edit config/config.yaml and config/agent/config.agent.<name>.yaml directly.
Tests
.\tests\run_tests.ps1Documentation
Documentation index: docs/README.md
User guide: docs/user/README.md
Current developer docs: docs/developer/README.md
Original development docs: docs/original/README.md
Chinese quick start: README.zh-cn.md
This server cannot be deployed
Maintenance
Related MCP Connectors
Multi-model AI image and video generator. 14 models behind one OAuth-secured MCP endpoint.
Zero-setup MCP gateway securely connecting AI to your tools with authentication and workflows
- gatewayOAuthai.sealgate
MCP gateway with runtime security policy, tool-call-level control, and audit of agent actions.
MCP server for Qwen Image 3 AI image generation
Related MCP Servers
- AlicenseAqualityDmaintenanceMCP server for multi-provider AI image generation (AWS Bedrock, OpenAI, Google Gemini) enabling image generation, transformation, and editing through a unified interface.41MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for generating, editing, and processing images via multiple providers including Kilo, OpenRouter, OpenAI, and Gemini, with local tools for background removal, resizing, and cropping.182MIT
- AlicenseNot gradedqualityCmaintenanceA secure MCP gateway for enterprise AI tool execution, enabling governed invocation of business tools with authentication, RBAC, audit logging, PII redaction, and async processing.Apache 2.0
- AlicenseAqualityDmaintenanceMCP server that provides image generation, captioning, and tagging via ComfyUI API, configurable for agent tools.43MIT