FastMCP builds MCP servers fast. But it struggles running them at org scale — multiple teams, multiple data sources, access controls, audit trails, and infrastructure you don’t want to own. Most platform teams shop for FastMCP alternatives after hitting these limits.
Underneath all that, FastMCP works as a framework, not a platform. Everything beyond the server logic itself (hosting, auth enforcement, audit logging, multi-server orchestration) falls on your team to build and maintain. Ship one server for one team and it’s fine. Own MCP as shared infrastructure across an org and the overhead compounds fast.
Where FastMCP requires more from your team
Hosting and scaling are entirely on you
Getting a FastMCP server into production means packaging it, deploying it to a cloud provider, managing uptime, configuring HTTPS, and maintaining the infrastructure indefinitely. The FastMCP deployment docs list your options: Cloud VMs (EC2, GCE, Azure), container platforms (Cloud Run, ECS), or Kubernetes. Each requires an exposed HTTP port and the full operational overhead of any self-managed service.
Horizontal scaling adds another wrinkle. By default, Streamable HTTP transport stores session state in memory per server instance. Run multiple instances behind a load balancer and client requests can route to different instances, breaking session continuity mid-conversation. The fix is either stateless HTTP mode (which drops server-side sessions) or external state management via Redis. Both require additional engineering.
For a single-team deployment, manageable. For a platform team running MCP as shared infrastructure, it compounds into ongoing operational debt.
Auth is powerful but fully DIY
FastMCP 3.0 ships a capable auth stack: per-component authorization, an OAuth proxy with built-in providers (GitHub, Google, Azure Entra ID, Auth0, WorkOS), and native OpenTelemetry instrumentation. The building blocks are there.
But building blocks still need assembly. Every access policy requires writing authorization callables in Python, per component, per server. No admin UI, no org-wide policy management, no centralized enforcement across servers. Need team A to access tool set X and team B to access tool set Y across multiple servers? You’re building and maintaining that system yourself.
Worth noting: FastMCP’s auth documentation flags that stdio transport bypasses all auth checks entirely. In a multi-user production environment, transport selection is a security decision, not just a configuration detail.
No built-in audit logging
FastMCP 3.0 added native OpenTelemetry instrumentation. With your own OTEL backend configured, every tool call, resource read, and prompt render is traced. Useful, but you supply and operate the backend yourself.
No default audit logging to a managed store, no compliance-ready output out of the box. For platform teams in regulated industries that need answers like “which agent accessed what data, when, and what did it do?” — that’s all custom development you’d have to build and maintain.
Multi-server management has no control plane
FastMCP can proxy and compose multiple servers via its provider/transform architecture. What it can’t do is give you a unified view across them. No dashboard, no centralized tool discovery, no org-wide namespace management. Each server is its own deployed service with its own configuration.
Ten teams, ten data sources: ten separate deployments, ten auth configurations, ten logging pipelines. Revoking access or debugging a broken tool means touching each server individually.
Non-Python integrations are each their own project
FastMCP runs on Python. Connecting to an existing REST API requires generating from an OpenAPI spec (available since 2.0, but still code to configure and deploy) or writing a custom server from scratch. Connecting to file storage like S3 requires a custom resource provider. For orgs with existing APIs, SaaS tools, and file storage, each integration becomes its own development project.
The alternative: a managed MCP gateway
A managed gateway shifts the work from building and deploying servers to configuring connections. Use existing OpenAPI specs, connect remote MCP servers, set access policies through a UI. Infrastructure, uptime, scaling, and MCP spec updates are handled for you.
Vendia’s MCP gateway connects enterprise APIs, SaaS applications, remote MCP servers, and S3 buckets behind a single gateway URL. Here’s what that looks like in practice:
Multi-user access management without code
Add and manage users directly in the gateway UI. API connections support per-catalog headers for configuring different credentials or scopes per team. Storage connections support per-resource access policies — give analytics teams read-only access while backend services get read and write. No authorization callables to write, no per-server policy logic to maintain.
Complete audit trail out of the box
Every AI interaction gets logged to an immutable ledger, with read and write receipts tracking which agent accessed what, with full timestamps. Receipts cover file access, API calls, and all other agent operations, all viewable directly in the Vendia console.
For platform teams in regulated environments, this means compliance-ready visibility into agent behavior without building or operating a separate logging pipeline. No OTEL backend to configure or operate.
Pre-built integrations, no spec required
Beyond OpenAPI uploads, Vendia ships ready-to-use connections for popular services including Notion, Atlassian, Sentry, Neon, and Fireflies. Connect them directly through the gateway UI. No custom server to write, no spec to find and maintain. For everything else, any OpenAPI/Swagger spec works.
One endpoint, everything connected
Enterprise APIs, SaaS applications, remote MCP servers, and S3 buckets — all accessible through a single gateway URL. When you add a new connection, every agent pointed at the gateway picks it up immediately. Enable or disable individual connections without client reconfiguration or redeployment.
FastMCP and Vendia aren’t mutually exclusive either. Vendia can proxy FastMCP servers, so teams with custom FastMCP servers for bespoke logic can expose them through the gateway alongside enterprise APIs, SaaS applications, and S3 buckets, getting unified governance across everything without re-platforming.
FastMCP vs. Vendia MCP Gateway
|
Capability |
FastMCP |
Vendia MCP Gateway |
|
Infrastructure |
Self-hosted, you manage servers |
Fully managed, no servers |
|
Time to first connection |
Hours (code + deploy + test) |
Minutes (UI config) |
|
Authentication |
Code your own; OAuth providers available |
Built-in OAuth, configured via UI |
|
Resource access control |
Per-component auth callables |
Field-level ACLs, per-agent/user policies, RBAC |
|
Audit logging |
BYO OTEL backend |
Automatic, immutable ledger |
|
API integrations |
OpenAPI spec supported; requires code + deploy |
OpenAPI/Swagger spec upload via UI |
|
Multi-server management |
Separate deployments, no control plane |
Single gateway URL, unified dashboard |
|
Horizontal scaling |
Requires stateless mode or Redis |
Managed automatically |
|
MCP spec updates |
Manual |
Automatic |
|
S3 connectivity |
Custom resource provider required |
Bucket name + IAM config via UI |
Which one is right for you?
Use FastMCP when you need custom MCP servers with bespoke Python logic: tools that query internal systems, run computations, or implement domain-specific workflows that require code.
Choose a managed gateway when the job is connecting existing systems to AI agents rather than building new servers; and when org-wide governance, audit trails, and controlled access across teams matter more than code-level flexibility.
For most platform teams, the answer ends up being both: FastMCP for custom server development, Vendia as the control plane that exposes everything through a single, governed endpoint.
Ready to see the difference? Try Vendia MCP Gateway for free or explore the full comparison.