The Problem
AI agents are only as powerful as the tools they can access. Every production system — databases, CMSes, analytics platforms, social media APIs — has its own authentication, data format, and error handling. Without a unified interface, agents spend more time negotiating with APIs than solving problems.
What This Server Does
This is a production Model Context Protocol (MCP) server deployed on Cloudflare Workers with 350+ tools across 20+ platform integrations. It gives any MCP-compatible AI client (Claude, ChatGPT, Gemini, VS Code) instant access to databases, content pipelines, social media APIs, web research, media management, and project management — all through a single, standardized protocol.
The server handles tool discovery, input validation, authentication, rate limiting, and error handling. AI agents just describe what they need and the right tool gets called with the right parameters. It's the connective tissue between AI models and real-world production systems.
Why Cloudflare Workers
MCP servers need to be fast, reliable, and always available. Cloudflare Workers give us sub-100ms cold starts, global edge deployment across 300+ data centers, and KV storage for session management. The server handles thousands of tool calls per day with zero infrastructure management.
Architecture
Built for reliability at the edge. Not another API wrapper.
MCP Protocol Compliant
Full JSON-RPC 2.0 implementation with Streamable HTTP transport. Compatible with Claude, ChatGPT, Gemini, VS Code, and any MCP client.
Edge-First Architecture
Runs on Cloudflare Workers with KV storage for session management. Sub-100ms cold starts with global edge deployment across 300+ data centers.
Modular Tool Registry
Each integration is a self-contained module with its own handler, input schema validation, and error handling. Add new tools without touching existing code.
Multi-Platform Integration
20+ platform integrations including Supabase, WordPress, Tavily, Apify, Cloudinary, Linear, Langfuse, Trigger.dev, and social media APIs.
Content Intelligence
Web crawling, content extraction, deep research with AI-powered analysis, and structured output generation for editorial workflows.
Production Hardened
Structured error types, input validation on every tool call, graceful degradation, and comprehensive logging. Built for 24/7 unattended operation.
Core Integrations
Supabase Integration
Full CRUD operations on 8+ tables, schema introspection, read-only SQL queries, and real-time data access for content pipeline management.
Content Intelligence
Cross-platform content monitoring across Instagram, TikTok, YouTube, Twitter, Threads, and LinkedIn. Automated trend detection, engagement analysis, and content ingestion into a unified schema.
AI Content Generation
Research and draft articles via Tavily deep search, repurpose content across platforms, generate social captions, blog drafts, video scripts, and SEO meta.
WordPress Publishing
Article creation and management through the WordPress REST API. Full CMS integration for multi-vertical content publishing.
Tech Stack
By the Numbers
350+
Production Tools
20+
Integrations
300+
Edge Locations
<100ms
Cold Start