An MCP server cost calculator estimates the monthly cloud infrastructure cost of self-hosting a Model Context Protocol server. Enter your expected connections, compute tier, and cloud provider to get a detailed cost breakdown and comparison across AWS, GCP, Azure, Hetzner, and Fly.io.
Usage
Each AI session = 1 connection
Logs, databases, tool data
Compute Tier
Dev / low-traffic (<1K connections/day)
Production (<10K connections/day)
High traffic (<50K connections/day)
Redundancy
Provider Comparison
Recommendations
How to Estimate MCP Server Infrastructure Costs
The Model Context Protocol (MCP) lets AI assistants connect to external tools and data sources through standardized servers. Self-hosting an MCP server gives you full control over tool availability, data privacy, and customization — but it comes with real infrastructure costs. This calculator helps you estimate those costs before you commit to a provider.
Step 1: Estimate Your Traffic
Start with your expected daily connections. Each time an AI assistant establishes a session with your MCP server counts as one connection. If you are building a personal AI assistant, you might have 10-50 connections per day. A team tool might see 100-500. A public-facing product could have thousands. Multiply connections by the average number of tool calls per session to get total tool invocations.
Step 2: Choose Your Compute Tier
MCP servers are generally not compute-intensive — they spend most time waiting for I/O (database queries, file reads, API calls). A small 2vCPU/4GB instance can comfortably handle hundreds of concurrent connections. Choose medium (4vCPU/8GB) for production workloads with consistent traffic, and large (8vCPU/16GB) only for high-traffic deployments or if your tools perform intensive processing like image manipulation or large data transformations.
Step 3: Factor in Bandwidth
The calculator estimates bandwidth from your connections, tool calls, and payload sizes. MCP messages are typically small JSON (1-10KB per tool call), but if your server returns large results — like fetching full documents, images, or large database result sets — bandwidth adds up quickly. On most cloud providers, inbound traffic is free; you pay only for outbound. Hetzner includes generous bandwidth allowances (20TB/month on most plans).
Step 4: Compare Providers
The calculator compares five providers: AWS (t3/t3a instances), GCP (e2 series), Azure (B-series), Hetzner (CX series), and Fly.io. Hetzner is typically 5-8x cheaper than major cloud providers for equivalent compute specs — ideal if you do not need tight integration with other cloud services. Fly.io is excellent for teams that want simplicity and global edge deployment without managing servers. AWS, GCP, and Azure are best when your MCP server needs to call other services in the same cloud (lower latency, no egress fees).
High Availability Considerations
For production AI tools where downtime is unacceptable, enable high availability. An HA deployment runs two instances of your MCP server behind a load balancer. If one instance fails, the other continues serving requests with no manual intervention. This roughly doubles your compute cost but provides significantly better reliability guarantees (typically 99.9%+ uptime). For development or internal tools, a single instance is usually sufficient.
FAQ
What is an MCP server?
MCP (Model Context Protocol) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external tools, data sources, and APIs. An MCP server exposes a set of tools that AI models can call — for example, a file system MCP server lets an AI read and write files, while a database MCP server lets an AI query a database. Self-hosting an MCP server gives you full control over what tools the AI can access.
What infrastructure do I need to run an MCP server?
A basic MCP server needs a compute instance (virtual machine or container), network connectivity for incoming WebSocket or HTTP connections, and storage for logs and any data the server manages. For production use, you will also want a load balancer or reverse proxy (like nginx), SSL termination, and monitoring. A small 2vCPU/4GB RAM instance is sufficient for most development and low-traffic use cases.
Which cloud provider is cheapest for hosting an MCP server?
European providers like Hetzner are significantly cheaper than AWS, GCP, or Azure for the same compute specs. A 2vCPU/4GB instance on Hetzner costs around €4-6/month versus $30-50/month on AWS. However, if your AI application already runs on AWS or GCP, co-locating the MCP server on the same provider eliminates inter-region data transfer costs and reduces latency — which may outweigh the compute price difference.
What does high availability (HA) mean for an MCP server?
High availability means running multiple redundant instances of your MCP server so that if one instance fails, the others continue serving requests. HA deployments typically run at least two instances behind a load balancer. This roughly doubles your compute cost but provides automatic failover. For production AI applications where downtime is unacceptable, HA is strongly recommended.
How much bandwidth does an MCP server use?
MCP messages are generally small JSON payloads — a typical tool call request and response is under 10KB. Bandwidth depends almost entirely on how many connections and tool invocations occur. High-frequency tool calls like file reads or database queries add up quickly. If your MCP server transfers large files or binary data, bandwidth costs can become significant — factor in your payload sizes when estimating.
Is this MCP server cost calculator free?
Yes, completely free. All calculations happen in your browser. No data is sent to any server. Estimates are based on publicly available cloud pricing as of early 2026 and are approximate — always check the latest pricing on your chosen provider's website before committing.
Can I run an MCP server on Fly.io or similar platforms?
Yes, platforms like Fly.io, Railway, and Render are excellent for running MCP servers because they handle deployment, scaling, and SSL automatically. Fly.io's free tier includes 3 shared-CPU VMs with 256MB RAM each — enough for a low-traffic MCP server. Paid plans add more CPU and memory. These platforms also offer built-in global distribution, which reduces latency for users worldwide.