API for AI agents: CRUD operations with Beeminder data

This workflow provides AI agents with a structured HTTP API to interact with Beeminder — a goal-tracking platform. It enables programmatic management of goal progress, making it ideal for building autonomous AI assistants that rely on real-world habit and metric data.

## Who it´s for
- AI agent developers integrating Beeminder goals and metrics
- Proactive users automating habit tracking via AI
- Engineers building personal MCP servers for autonomous agents
- Beeminder users who want to manage data through chatbots or LLMs

## What the automation does
- Accepts HTTP requests from AI agents via webhook
- Determines operation type (create, delete, getAll, update) from request parameters
- Dynamically extracts data using $fromAI() expressions
- Executes corresponding API call to Beeminder
- Returns operation result back to the agent

## What´s included
- Ready-to-use workflow for n8n
- Trigger and handler logic
- Integrations with Beeminder and generic AI Agent
- Basic textual instructions for launch and adaptation

## Requirements for setup
- Beeminder account with API access
- Running n8n instance with HTTP trigger capability
- LangChain MCP server compatible with n8n
- Beeminder API key for authentication

## Benefits and outcomes
- Simplifies Beeminder integration with autonomous AI agents
- Automates routine datapoint management without manual input
- Enables natural language control over data changes
- Provides reliable interface between LLMs and external metrics
- Supports all core CRUD operations on datapoints

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.