A local MCP server works for one developer. A remote MCP server works for your whole organization, but only if it's deployed and secured properly. Codersarts takes your existing or new MCP server and deploys it over Streamable HTTP on your cloud. We add OAuth authentication, per-user permissions, rate limiting, logging and monitoring, so your team and customers can connect their AI assistants safely from anywhere.
Deploy & Secure a Remote MCP Server
Take your MCP server from one developer's laptop to a secure, hosted service your whole team can use, with OAuth sign-in, scoped permissions and monitoring built in.
Most MCP servers start as local experiments. They run over stdio on one machine, with credentials in a config file and no record of what the AI did. That's fine for a prototype, but it doesn't work for a team, a client rollout or a customer-facing product.
Codersarts deploys and secures your MCP server as a remote service. Every user signs in with their own identity, every tool call is authorized and logged, and the server runs reliably on your infrastructure. Your team connects from Claude, ChatGPT, Cursor or any MCP-compatible client, with nothing to install locally.
Get a Free Quote | Book a Free Consultation
Is This You?
Your MCP server works, but it isn't ready for real use:
"It only runs on one developer's machine, and everyone else has to copy the setup by hand."
"Our API keys are sitting in plain text in local config files."
"Everyone who uses the server gets the same access. We can't limit what each person can do."
"We have no idea what the AI did, when, or on whose behalf."
"We built our server on the old SSE transport and need to move to Streamable HTTP."
"We want customers to connect their AI tools to our product, but we can't expose our server without proper authentication."
"Our security team won't approve the rollout until access control and audit logs are in place."
An unsecured MCP server is an open door into your systems. Without authentication and permissions, anyone with the URL or a copied config may be able to reach your data and trigger actions. Without logs, you can't investigate what went wrong.
Why Move Your MCP Server to a Remote Deployment
MCP servers can run in two ways:
Local (stdio): the server runs on each user's computer. It's simple for one person, but each user needs their own setup, credentials are spread across machines, and you have no central control.
Remote (Streamable HTTP): the server runs once, in the cloud or on your infrastructure, and users connect over HTTPS. Access, updates and monitoring are managed in one place.
A remote deployment gives your business:
One server for everyone. Update it once and every user gets the change immediately.
No credentials on laptops. Secrets stay on the server, managed securely, never shared with end users.
Per-user identity. Each person signs in with their own account, and the server knows who is making every request.
Central access control. You decide which users and teams can use which tools.
Full visibility. Every tool call can be logged and monitored, which supports security reviews and compliance.
Access from anywhere. Users connect from desktop and web AI clients without installing or configuring anything locally.
A path to customers. A properly secured remote server can be offered to your customers as a product feature.
Our Remote MCP Deployment & Security Services
Remote MCP Server Deployment
We deploy your MCP server as a hosted service over Streamable HTTP on the platform you choose, with HTTPS, health checks, autoscaling where needed, and a repeatable deployment process.
OAuth Authentication for MCP
We implement authentication aligned with the MCP authorization specification, which is based on OAuth 2.1. Users sign in through your existing identity provider, and the server validates every access token before running a tool.
Single Sign-On (SSO) Integration
We connect your MCP server to the identity provider your organization already uses, such as Microsoft Entra ID, Okta, Google Workspace, Auth0 or Keycloak. Access then follows your existing user accounts and groups.
Role-Based Access & Tool Permissions
We add permission rules so each user or team can only use the tools and data they're allowed to. For example, support staff can look up orders, while only managers can issue refunds.
Local-to-Remote Migration
Already have a local stdio server? We convert it to a remote server, move credentials into a secure secrets store, and update your team's client setup. You keep the tools you've built.
SSE to Streamable HTTP Migration
If your server uses the older HTTP+SSE transport, we migrate it to Streamable HTTP, the current standard remote transport in the MCP specification, while keeping existing clients working during the switch.
MCP Security Audit & Hardening
We review your MCP server for common risks and fix them. These include missing or weak authentication, overly broad permissions, exposed secrets, unvalidated tool inputs, missing rate limits, unsafe session handling, and prompt injection through tool outputs.
Multi-Tenant MCP Servers for SaaS Products
We build and deploy customer-facing MCP servers where each customer's data is fully isolated. Every request is scoped to the right account, with rate limits and usage tracking per customer.
Monitoring, Logging & Audit Trails
We set up structured logs, error tracking, uptime monitoring and alerts. Tool-call audit logs show which user ran which tool, with what inputs, and what happened.
Ongoing MCP Hosting & Maintenance
After launch, we can keep your remote server patched, monitored and up to date with new MCP specification and SDK versions, and add new tools as your needs grow.
Common Use Cases
Company-wide AI assistant access: give every employee secure access to internal tools from Claude or ChatGPT, with permissions that match their role.
Customer-facing MCP for SaaS products: let your customers connect their AI assistants to your product, with each account's data isolated and protected.
Client and agency rollouts: deploy a separate, secured MCP server for each client, with their own users and data.
Regulated industries: meet internal security and compliance requirements with SSO, least-privilege access and full audit trails.
Engineering teams: share one hosted MCP server for internal APIs, logs and deployment tools, instead of every developer running their own copy.
Partner integrations: give external partners controlled, revocable access to specific tools and data.
What You Get
When the project is complete, you receive:
A remote MCP server running on your chosen platform, served over HTTPS using Streamable HTTP.
OAuth-based authentication connected to your identity provider, with token validation on every request.
Role-based permissions that control which users and teams can use each tool.
Secure secrets management, with no API keys or passwords in code or on user devices.
Rate limiting and abuse protection to keep the server stable and prevent misuse.
Logging, monitoring and alerts, including a tool-call audit trail showing who did what and when.
Infrastructure as code and a deployment pipeline, so updates are repeatable and safe.
A security review report listing the risks checked, issues found and how each was resolved.
Client connection guides for Claude, ChatGPT, Cursor, VS Code and other MCP-compatible clients.
Technical documentation covering architecture, configuration, access management and operations.
A handover call with your team, plus post-delivery support for fixes.
What We Need From You
Your MCP server code, or a description of the tools you need if we're building it as well.
Your hosting preference: your own cloud account (AWS, Azure, Google Cloud, Cloudflare) or a platform we recommend.
Your identity provider details, such as Microsoft Entra ID, Okta, Google Workspace or Auth0, and an admin contact who can register the application.
Your access rules: who should be able to use which tools, and which actions are sensitive.
Any security or compliance requirements, such as data residency, retention or audit needs.
One point of contact for questions and approvals during the project.
Not sure about any of these? We'll work through them with you on the free consultation.
How It Works
Free consultation (30 minutes). We review your current server, who needs access, and your security and hosting requirements.
Security & deployment plan with a fixed quote (within 1 business day). You get a written plan covering architecture, authentication flow, permission rules, hosting and monitoring, plus a fixed price.
Hardening & authentication. We secure the server code, move secrets into a secrets manager, add OAuth and permission checks, and fix any vulnerabilities found in review.
Deployment. We set up infrastructure, HTTPS, the deployment pipeline, logging and monitoring on your chosen platform.
Security testing & verification. We test authentication, permissions, rate limits and error handling, try common attack patterns, and verify every tool from real AI clients.
Rollout & handover. We help connect your users, hand over documentation and the security report, and support you after go-live.
Security Built Into Every Deployment
Every remote MCP server we deploy includes these protections:
Authenticated access only: no tool runs without a valid, verified access token.
Token validation: the server checks that each token was issued for it and hasn't expired, and rejects tokens meant for other services.
Least-privilege permissions: users and tools get only the access they need, and read-only is the default wherever possible.
Encrypted connections: all traffic is served over HTTPS.
Secrets protection: credentials are stored in a secrets manager, rotated as needed, and never exposed to AI clients or end users.
Input validation: every tool input is checked against a strict schema before it reaches your systems.
Origin and session protection: the server validates request origins and handles sessions securely to block cross-site and session hijacking attacks.
Rate limiting: per-user and per-client limits protect your systems from runaway agents and abuse.
Prompt injection safeguards: content from external sources is treated as untrusted, and high-risk actions can require human confirmation.
Audit logging: a record of every tool call supports investigations, security reviews and compliance.
Data isolation: in multi-tenant deployments, each customer's data is strictly separated.
Hosting Options
We deploy where it suits your team, budget and compliance needs:
Cloudflare Workers: fast global edge hosting, well suited to lightweight remote MCP servers.
AWS: Lambda, ECS or App Runner, with Secrets Manager and CloudWatch.
Microsoft Azure: Container Apps or App Service, with Key Vault and Entra ID.
Google Cloud: Cloud Run, with Secret Manager and Cloud Logging.
Kubernetes: for teams with existing clusters and platform tooling.
Your own infrastructure: on-premise or private cloud, for strict data residency requirements.
How Much Does Remote MCP Deployment Cost?
Pricing depends on your starting point, your security requirements and how many users or customers will connect. Every project gets a fixed quote before work starts.
Package | Best for | Includes |
Secure Deploy | Moving an existing server to a remote deployment for your team | Streamable HTTP deployment, OAuth with one identity provider, secrets management, logging, client setup guides |
Enterprise Ready | Organization-wide rollouts with stricter controls | Everything in Secure Deploy, plus SSO, role-based tool permissions, audit trails, monitoring and alerts, security review report |
Customer-Facing | SaaS products offering MCP access to their customers | Multi-tenant isolation, per-customer rate limits and usage tracking, public documentation, hardened security |
What affects the cost: whether your server already exists or needs building, the number of tools, your identity provider and SSO setup, permission complexity, hosting platform, compliance requirements, and expected traffic.
Engagement Models
Fixed-price project: best for a defined deployment and security scope, with clear deliverables and a fixed quote.
Dedicated MCP engineer: best for ongoing AI platform work, with a Codersarts engineer working alongside your team.
Managed hosting & maintenance: best after launch. We monitor, patch and update your remote MCP server and add new tools over time.
Tech Stack
Transport & protocol: MCP over Streamable HTTP, SSE-to-Streamable-HTTP migration, official MCP Python and TypeScript SDKs, FastMCP.
Authentication & identity: OAuth 2.1, Microsoft Entra ID, Okta, Auth0, Google Workspace, Keycloak, Cloudflare Access.
Hosting: Cloudflare Workers, AWS (Lambda, ECS, App Runner), Azure (Container Apps, App Service), Google Cloud Run, Kubernetes, Docker.
Secrets & security: AWS Secrets Manager, Azure Key Vault, Google Secret Manager, HashiCorp Vault, API gateways, web application firewalls.
Monitoring & logging: OpenTelemetry, CloudWatch, Azure Monitor, Google Cloud Logging, Datadog, Grafana, Sentry.
Infrastructure & delivery: Terraform, GitHub Actions, GitLab CI.
AI clients supported: Claude (desktop and web), Claude Code, ChatGPT, Cursor, VS Code and other MCP-compatible clients.
Why Choose Codersarts
Security first: authentication, permissions and audit logging are part of the core design, not optional extras.
MCP specialists: we work with the MCP specification, its transports and its authorization model every day, so you avoid common pitfalls.
Your cloud, your control: we deploy into your own accounts, so you keep ownership of infrastructure, data and credentials.
Production-grade operations: monitoring, alerts, infrastructure as code and repeatable deployments come as standard.
Clear documentation: your team gets everything it needs to operate, extend and audit the server.
Fixed, transparent pricing: you know the full cost before work begins.
Where This Fits in Your AI Project
Remote deployment and security take an MCP integration from prototype to production. Related Codersarts services:
Build a Custom MCP Server: don't have a server yet? We'll design and build one around your systems, then deploy it securely.
Connect an AI Agent to Your Database or APIs: give your AI safe, structured access to live business data.
Fix AI Agent Tool Calling: if your AI picks the wrong tools or sends bad inputs, we'll diagnose and fix it.
Make an AI Agent Production-Ready: add guardrails, approval steps and cost limits to your AI agents.
Set Up LLM Observability & Tracing: get full visibility into how your AI applications behave in production.
Frequently Asked Questions
What is the difference between a local and a remote MCP server?
A local MCP server runs on each user's computer and communicates over stdio. A remote MCP server runs once on a hosted platform, and users connect to it over HTTPS using Streamable HTTP. Remote servers allow central access control, per-user sign-in, monitoring and instant updates for everyone.
How much does it cost to deploy and secure a remote MCP server?
Cost depends on whether you already have a server, your identity provider setup, the complexity of your permission rules, your hosting platform and any compliance requirements. We provide a fixed quote after a free consultation, so you know the full price upfront.
How long does the project take?
Deploying an existing server with standard OAuth is the quickest scope. Projects that include SSO, role-based permissions, multi-tenant isolation or a full security audit take longer. We confirm the exact timeline in your quote.
How does authentication work for a remote MCP server?
We implement authentication aligned with the MCP authorization specification, which uses OAuth 2.1. When a user connects from their AI client, they sign in through your identity provider. The server then validates their access token on every request before running any tool.
Can users sign in with our existing company accounts?
Yes. We integrate with your existing identity provider, such as Microsoft Entra ID, Okta, Google Workspace or Auth0, so access follows your current user accounts, groups and offboarding process.
Can we limit which tools each user can access?
Yes. We set up role-based permissions so each user or team can only use approved tools. Sensitive actions can also require extra confirmation.
Can you secure an MCP server we already built?
Yes. We audit your existing server, fix security gaps, add authentication and permissions, and deploy it remotely, keeping the tools you've already built.
Our server uses the older SSE transport. Can you migrate it?
Yes. We migrate servers from HTTP+SSE to Streamable HTTP, the current standard remote transport in the MCP specification, and keep your clients working throughout the switch.
Where will our server be hosted?
Wherever suits you: your own AWS, Azure, Google Cloud or Cloudflare account, a Kubernetes cluster, or on-premise infrastructure. We usually deploy into your accounts so you keep full ownership and control.
Can our customers connect to our MCP server?
Yes. We build multi-tenant, customer-facing MCP servers with strict data isolation, per-customer rate limits and usage tracking, so you can offer AI connectivity as a product feature.
Will we know what the AI is doing on our systems?
Yes. We set up audit logging that records which user ran which tool, with what inputs and what result, plus monitoring and alerts for errors and unusual activity.
Who owns the code and infrastructure?
You do. All code, infrastructure configuration and documentation are delivered to you, and deployments run in accounts you control.
What happens after go-live?
Every project includes a post-delivery support period for fixes. After that, you can choose a managed hosting and maintenance plan, or contact us as needed.
Want to set it up yourself?
Read our community guide: How to deploy a remote MCP server with OAuth →
Make Your MCP Server Secure, Shared and Production-Ready
Tell us about your MCP server and who needs access, and we'll send a security and deployment plan with a fixed quote within one business day.
Get a Free Quote | Book a Free 15-Minute Review