Firefly III MCP Server
Provides integration with the Firefly III API, enabling AI agents and automation flows to interact with Firefly III data.
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., "@Firefly III MCP Servershow me my recent expenses"
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.
Firefly III MCP Server
Servidor MCP para integrar la API de Firefly III con agentes de IA y flujos de automatización.
Implementado usando el SDK oficial @modelcontextprotocol/server (v2) con transporte Streamable HTTP (stateless).
Características
🚀 SDK v2 de Model Context Protocol (Stateless, Web-standard)
🔌 Transporte HTTP Streamable
🛡️ Autenticación mediante
MCP_API_KEY(Bearer Token)📊 Paginación, limitación de tamaño y formato dual (JSON / Markdown)
🐳 Despliegue en contenedor Docker
Related MCP server: Firefly III MCP Server
Requisitos Previos
Contenedor de Firefly III corriendo en Docker.
Personal Access Token de Firefly III (En tu perfil de Firefly > OAuth > Personal Access Tokens).
Configuración y Despliegue (Local / Producción)
Configurar el entorno Copia el archivo de ejemplo para configurar tus claves:
cp firefly-mcp/.env.example firefly-mcp/.envAbre
.envy edita:FIREFLY_PAT: Tu Personal Access Token.MCP_API_KEY: Genera una clave segura.
Arrancar el entorno Agregar al docker-compose de firefly-iii
docker compose up -d
This server cannot be deployed
Maintenance
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