Build intelligent
MCP Infrastructure
without writing code.
Turn developer portals, API documentation, PDFs, and data streams into dynamic, deployment-ready Model Context Protocol servers. Instantly expand the capability index of Claude, Cursor, and custom agent teams.
Intelligent Tool Infrastructure for Agent Workforces
Everything you need to compile raw documentation, specifications, and files into structured semantic systems that AI agents can consume securely.
Deep Semantic Search & Vector Indexes
Equip AI models with pinpoint context. Instead of basic keyword matches, the system splits content into optimized vectors, matching queries against contextual concepts dynamically.
Serverless Edge Hosting
Deploy your MCP server globally onto low-latency Cloudflare Edge networks instantly. Zero server management required.
Rich File & Doc Parsing
Accept crawls, structured OpenAPI schema files, raw markdown manuals, PDF documents, or feeds.
Fine-Grained Permissions & Safe Sandboxing
Keep your sensitive credentials isolated. The generated server runtime runs inside secure, sandboxed execution scopes. Scopes limit tools to read-only configurations, prevent external injection, and rotate keys regularly.
From Docs to Live AI Tools
A robust developer experience that bridges static knowledge with real-time agentic execution.
Ingest & Extract
Provide any doc page, REST reference, or PDF files. The crawler extracts, normalizes, and strips noise from HTML pages or documents automatically.
Chunk & Vectorize
Documents are split into semantic chunks, embedded using state-of-the-art vector models, and loaded into an isolated vector storage layer for fast retrieval.
Deploy Endpoint
Deploy a global Cloudflare worker instance with standard SSE handlers. AI tools instantly detect functions like semantic search or knowledge retrieval.
{
"mcpServers": {
"my-server": {
"url": "https://mcp-worker.dev/sse"
}
}
}Connect Any AI Client
Whether you use Cursor, Claude Desktop, VS Code, or custom agent systems built with official SDKs.
Seamlessly integrate with Cursor's built-in MCP engine. Add the HTTP+SSE endpoint directly via Cursor Settings.
{
"mcpServers": {
"my-server": {
"url": "https://mcp-worker.dev/sse"
}
}
}Access the server endpoint programmatically in your favorite codebase context with standard SDK adapters.
import asyncio
from mcp.client.session import ClientSession
from mcp.client.sse import sse_client
async def main():
async with sse_client("https://mcp-worker.dev/sse") as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
print(await session.list_tools())
asyncio.run(main())pip install mcp