Deploy Secure MCP Containers Instantly
Streamable HTTP containers with tokenized access, IP restrictions, environment variables support, and instant SSL. Built for OpenAI, Claude, and beyond.
How BatMCP Works
Create or Use an MCP
Build your own MCP in Python, launch a ready-to-stream container, or explore our marketplace for plug-and-play endpoints.
Secure Access
Lock access with token authentication, restrict by IP, and inject secure environment variables for precise runtime control.
Connect & Stream
Every container includes a public SSL endpoint — instantly connect to OpenAI, Claude, Slack bots, or your production workloads.
BatMCP Dashboard
View and manage your secure MCP containers in real time — start, pause, or delete with one click.
Built for Devs. Trusted by AI.
Everything you need to deploy, secure, and scale your MCP containers — whether you're shipping to OpenAI, Claude, or your own internal stack.
Tokenized Access
Granular control with with container-specific rules.
IP Whitelisting
Restrict access to known IPs or CIDR blocks — ideal for enterprise or VPC-only setups.
Custom Env Vars
Support dynamic ENV injection — secrets, config, auth tokens — safely at boot time.
Usage-Based Billing
Instances only count for usage when containers are streaming. Transparent billing per month, no hidden fees.
Multi-Instance Scaling
Launch parallel containers on demand, isolated yet managed under one account.
Public SSL Domains
Containers are auto-issued public HTTPS domains with full cert support (Let’s Encrypt).
Designed to be easy and fast.
Stream Your First Container in 30 Seconds
No setup. No YAML. Just deploy, lock it down, and plug into your favorite LLM.
Try BatMCP Now →