Mealie - A2A | AG-UI | MCP

Version: 0.2.45

Overview

Mealie MCP Server + A2A Server

It includes a Model Context Protocol (MCP) server and an out of the box Agent2Agent (A2A) agent

Manage your self-hosted Mealie instance through an MCP server!

This repository is actively maintained - Contributions are welcome!

Supports:

User & Household Management
Recipe Management (CRUD, Import, Ratings)
Meal Planning (Organizer)
Shopping Lists
System Administration
Safe search levels (where applicable)
Pagination control

MCP

MCP Tools

Category	Description	Tag(s)
`admin`	Manage administrative tasks	`admin`
`app`	Manage application settings and info	`app`
`explore`	Explore recipes and content	`explore`
`groups`	Manage recipe groups	`groups`
`households`	Manage households	`households`
`organizer`	Organize meals and plans	`organizer`
`recipe`	Manage individual recipes	`recipe`
`recipes`	Manage recipe collections	`recipes`
`shared`	Manage shared content	`shared`
`users`	Manage users	`users`
`utils`	Utility functions	`utils`

Using as an MCP Server

The MCP Server can be run in two modes: stdio (for local testing) or http (for networked access). To start the server, use the following commands:

Run in stdio mode (default):

mealie-mcp --transport "stdio"

Run in HTTP mode:

mealie-mcp --transport "http"  --host "0.0.0.0"  --port "8000"

AI Prompt:

Find a recipe for lasagna

AI Response:

Found 3 recipes for "lasagna":
1. Classic Meat Lasagna
2. Vegetable Lasagna
3. Spinach Lasagna Rolls

A2A Agent

This package also includes an A2A agent server that can be used to interact with the Mealie MCP server.

Architecture:

---
config:
  layout: dagre
---
flowchart TB
 subgraph subGraph0["Agent Capabilities"]
        C["Agent"]
        B["A2A Server - Uvicorn/FastAPI"]
        D["MCP Tools"]
        F["Agent Skills"]
  end
    C --> D & F
    A["User Query"] --> B
    B --> C
    D --> E["Platform API"]

     C:::agent
     B:::server
     A:::server
    classDef server fill:#f9f,stroke:#333
    classDef agent fill:#bbf,stroke:#333,stroke-width:2px
    style B stroke:#000000,fill:#FFD600
    style D stroke:#000000,fill:#BBDEFB
    style F fill:#BBDEFB
    style A fill:#C8E6C9
    style subGraph0 fill:#FFF9C4

Component Interaction Diagram

sequenceDiagram
    participant User
    participant Server as A2A Server
    participant Agent as Agent
    participant Skill as Agent Skills
    participant MCP as MCP Tools

    User->>Server: Send Query
    Server->>Agent: Invoke Agent
    Agent->>Skill: Analyze Skills Available
    Skill->>Agent: Provide Guidance on Next Steps
    Agent->>MCP: Invoke Tool
    MCP-->>Agent: Tool Response Returned
    Agent-->>Agent: Return Results Summarized
    Agent-->>Server: Final Response
    Server-->>User: Output

Usage

MCP CLI

Short Flag	Long Flag	Description
-h	--help	Display help information
-t	--transport	Transport method: 'stdio', 'http', or 'sse' [legacy] (default: stdio)
-s	--host	Host address for HTTP transport (default: 0.0.0.0)
-p	--port	Port number for HTTP transport (default: 8000)
	--auth-type	Authentication type: 'none', 'static', 'jwt', 'oauth-proxy', 'oidc-proxy', 'remote-oauth' (default: none)
	--token-jwks-uri	JWKS URI for JWT verification
	--token-issuer	Issuer for JWT verification
	--token-audience	Audience for JWT verification
	--oauth-upstream-auth-endpoint	Upstream authorization endpoint for OAuth Proxy
	--oauth-upstream-token-endpoint	Upstream token endpoint for OAuth Proxy
	--oauth-upstream-client-id	Upstream client ID for OAuth Proxy
	--oauth-upstream-client-secret	Upstream client secret for OAuth Proxy
	--oauth-base-url	Base URL for OAuth Proxy
	--oidc-config-url	OIDC configuration URL
	--oidc-client-id	OIDC client ID
	--oidc-client-secret	OIDC client secret
	--oidc-base-url	Base URL for OIDC Proxy
	--remote-auth-servers	Comma-separated list of authorization servers for Remote OAuth
	--remote-base-url	Base URL for Remote OAuth
	--allowed-client-redirect-uris	Comma-separated list of allowed client redirect URIs
	--eunomia-type	Eunomia authorization type: 'none', 'embedded', 'remote' (default: none)
	--eunomia-policy-file	Policy file for embedded Eunomia (default: mcp_policies.json)
	--eunomia-remote-url	URL for remote Eunomia server

A2A CLI

Endpoints

Web UI: http://localhost:8000/ (if enabled)
A2A: http://localhost:8000/a2a (Discovery: /a2a/.well-known/agent.json)
AG-UI: http://localhost:8000/ag-ui (POST)

Short Flag	Long Flag	Description
-h	--help	Display help information
	--host	Host to bind the server to (default: 0.0.0.0)
	--port	Port to bind the server to (default: 9000)
	--reload	Enable auto-reload
	--provider	LLM Provider: 'openai', 'anthropic', 'google', 'huggingface'
	--model-id	LLM Model ID (default: nvidia/nemotron-3-super)
	--base-url	LLM Base URL (for OpenAI compatible providers)
	--api-key	LLM API Key
	--mcp-url	MCP Server URL (default: http://localhost:8000/mcp)
	--web	Enable Pydantic AI Web UI

Using as an MCP Server

The MCP Server can be run in two modes: stdio (for local testing) or http (for networked access). To start the server, use the following commands:

Run in stdio mode (default):

mealie-mcp --transport "stdio"

Run in HTTP mode:

mealie-mcp --transport "http"  --host "0.0.0.0"  --port "8000"

AI Prompt:

Find a recipe for lasagna

AI Response:

Found 3 recipes for "lasagna":
1. Classic Meat Lasagna
2. Vegetable Lasagna
3. Spinach Lasagna Rolls

Agentic AI

mealie-mcp is designed to be used by Agentic AI systems. It provides a set of tools that allow agents to interact with Mealie.

Agent-to-Agent (A2A)

This package also includes an A2A agent server that can be used to interact with the Mealie MCP server.

CLI

Argument	Description	Default
`--host`	Host to bind the server to	`0.0.0.0`
`--port`	Port to bind the server to	`9000`
`--reload`	Enable auto-reload	`False`
`--provider`	LLM Provider (openai, anthropic, google, huggingface)	`openai`
`--model-id`	LLM Model ID	`nvidia/nemotron-3-super`
`--base-url`	LLM Base URL (for OpenAI compatible providers)	`http://ollama.arpa/v1`
`--api-key`	LLM API Key	`ollama`
`--mcp-url`	MCP Server URL	`http://mealie-mcp:8000/mcp`
`--allowed-tools`	List of allowed MCP tools	`web_search`

Examples

Run A2A Server

mealie-agent --provider openai --model-id gpt-4 --api-key sk-... --mcp-url http://localhost:8000/mcp

Run with Docker

docker run -e CMD=mealie-agent -p 8000:8000 mealie-mcp

Docker

Build

docker build -t mealie-mcp .

Run MCP Server

docker run -p 8000:8000 mealie-mcp

Run A2A Server

docker run -e CMD=mealie-agent -p 8001:8001 mealie-mcp

Deploy MCP Server as a Service

The Mealie MCP server can be deployed using Docker, with configurable authentication, middleware, and Eunomia authorization.

Using Docker Run

docker pull knucklessg1/mealie-mcp:latest

docker run -d \
  --name mealie-mcp \
  -p 8004:8004 \
  -e HOST=0.0.0.0 \
  -e PORT=8004 \
  -e TRANSPORT=http \
  -e AUTH_TYPE=none \
  -e EUNOMIA_TYPE=none \
  -e MEALIE_BASE_URL=https://mealie.example.com \
  -e MEALIE_TOKEN=your-token \
  -e MEALIE_VERIFY=true \
  knucklessg1/mealie-mcp:latest

For advanced authentication (e.g., JWT, OAuth Proxy, OIDC Proxy, Remote OAuth) or Eunomia, add the relevant environment variables:

docker run -d \
  --name mealie-mcp \
  -p 8004:8004 \
  -e HOST=0.0.0.0 \
  -e PORT=8004 \
  -e TRANSPORT=http \
  -e AUTH_TYPE=oidc-proxy \
  -e OIDC_CONFIG_URL=https://provider.com/.well-known/openid-configuration \
  -e OIDC_CLIENT_ID=your-client-id \
  -e OIDC_CLIENT_SECRET=your-client-secret \
  -e OIDC_BASE_URL=https://your-server.com \
  -e ALLOWED_CLIENT_REDIRECT_URIS=http://localhost:*,https://*.example.com/* \
  -e EUNOMIA_TYPE=embedded \
  -e EUNOMIA_POLICY_FILE=/app/mcp_policies.json \
  -e MEALIE_BASE_URL=https://mealie.example.com \
  -e MEALIE_TOKEN=your-token \
  -e MEALIE_VERIFY=true \
  knucklessg1/mealie-mcp:latest

Using Docker Compose

Create a docker-compose.yml file:

services:
  mealie-mcp:
    image: knucklessg1/mealie-mcp:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8004
      - TRANSPORT=http
      - AUTH_TYPE=none
      - EUNOMIA_TYPE=none
      - MEALIE_BASE_URL=https://mealie.example.com
      - MEALIE_TOKEN=your-token
      - MEALIE_VERIFY=true
    ports:
      - 8004:8004

For advanced setups with authentication and Eunomia:

services:
  mealie-mcp:
    image: knucklessg1/mealie-mcp:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8004
      - TRANSPORT=http
      - AUTH_TYPE=oidc-proxy
      - OIDC_CONFIG_URL=https://provider.com/.well-known/openid-configuration
      - OIDC_CLIENT_ID=your-client-id
      - OIDC_CLIENT_SECRET=your-client-secret
      - OIDC_BASE_URL=https://your-server.com
      - ALLOWED_CLIENT_REDIRECT_URIS=http://localhost:*,https://*.example.com/*
      - EUNOMIA_TYPE=embedded
      - EUNOMIA_POLICY_FILE=/app/mcp_policies.json
      - MEALIE_BASE_URL=https://mealie.example.com
      - MEALIE_TOKEN=your-token
      - MEALIE_VERIFY=true
    ports:
      - 8004:8004
    volumes:
      - ./mcp_policies.json:/app/mcp_policies.json

Run the service:

docker-compose up -d

Configure `mcp.json` for AI Integration

{
  "mcpServers": {
    "mealie": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mealie-mcp",
        "mealie-mcp"
      ],
      "env": {
        "MEALIE_BASE_URL": "https://mealie.example.com",
        "MEALIE_TOKEN": "your-token",
        "MEALIE_VERIFY": "true"
      },
      "timeout": 300000
    }
  }
}

Install Python Package

python -m pip install mealie-mcp

uv pip install mealie-mcp

Name		Name	Last commit message	Last commit date
Latest commit History 75 Commits
.github/workflows		.github/workflows
mealie_mcp		mealie_mcp
scripts		scripts
.bumpversion.cfg		.bumpversion.cfg
.dockerignore		.dockerignore
.gitattributes		.gitattributes
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
AGENTS.md		AGENTS.md
Dockerfile		Dockerfile
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
README.md		README.md
compose.yml		compose.yml
debug.Dockerfile		debug.Dockerfile
mcp.compose.yml		mcp.compose.yml
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt

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Mealie - A2A | AG-UI | MCP

Overview

Supports:

MCP

MCP Tools

Using as an MCP Server

Run in stdio mode (default):

Run in HTTP mode:

A2A Agent

Architecture:

Component Interaction Diagram

Usage

MCP CLI

A2A CLI

Endpoints

Using as an MCP Server

Run in stdio mode (default):

Run in HTTP mode:

Agentic AI

Agent-to-Agent (A2A)

CLI

Examples

Run A2A Server

Run with Docker

Docker

Build

Run MCP Server

Run A2A Server

Deploy MCP Server as a Service

Using Docker Run

Using Docker Compose

Configure mcp.json for AI Integration

Install Python Package

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Configure `mcp.json` for AI Integration

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