The MCP ecosystem has a predictable shape: many servers that read data, fewer that write, and a handful that can change infrastructure. The reading ones are where an agent earns trust, because a diagnosis in the editor saves a tab switch and carries no risk.
That framing decides the order. This page is about the infrastructure side of the directory — Vercel, Netlify, Docker, BigQuery, and Databricks — and why read access should come first.
The short answer
Connect the servers that answer questions before the ones that take actions. A deploy or database server with read-only credentials removes most of the friction and almost all of the risk; the write path is a separate decision that deserves its own review.
Start with the diagnosis loop
The highest-value integration for most teams is not a data source; it is the place where failures are reported. Build logs, deployment status, and error traces are exactly the context an agent needs to help, and exactly the context that is annoying to fetch by hand.
Vercel and Netlify both do this well: recent deploys, build logs, environment variable names, and preview URLs. Neither needs write access for the loop to be useful, which makes them low-risk first connections.
The local socket is a different risk class
Docker is the clearest example of a server that is genuinely useful and genuinely dangerous. Inspecting containers and reading logs is a development convenience; exposing the Docker socket to an agent is equivalent to giving it root on the machine.
That does not mean skip it. It means decide deliberately: a local development machine with disposable state is a different proposition from a production host, and the same MCP config can point at either.
Databases: ask for a row limit
BigQuery and Databricks expose a workspace's analytics data, which is where the temptation to hand over broad credentials is strongest. A query that looks cheap can scan an expensive table, and the bill arrives later.
Two rules keep it sane: a read-only service account scoped to the datasets in question, and a prompt-level requirement that every query includes a limit and names the table it touches. The second rule is not a security control; it is what makes the output reviewable.
What to compare in an infrastructure server
| Question | Why it decides |
|---|---|
| Read or write? | Writes need approval, reads do not |
| Token scope | Account-wide credentials turn a convenience into an incident |
| What it logs | The diagnosis path is the point |
| Cost surface | Queries and builds can cost money without looking like actions |
| Transport | Local stdio servers run with your credentials; hosted ones do not |
The second row is the one teams get wrong. A server installed with the token a developer already had is not a scoped integration; it is the developer's access, delegated to a model.
The order we would use
First, a repository server like GitHub for issues and pull requests. Second, a deploy server for logs and status. Third, a database server with read-only scope. Fourth, and only after the first three have been used for a week, anything that writes.
That ordering is not about capability; it is about observation. Each week of read-only use tells you whether the agent's questions are actually answered by this server before you give it the ability to change something.
The audit trail
Infrastructure servers are the ones where a record matters. Log tool name, arguments, and result outside the transcript, and keep the record longer than the chat history. If something changed and nobody knows why, the tool call is the evidence.
When not to connect something
If the action is irreversible and customer-visible — a production deploy, an order refund, a schema migration — the right pattern is a draft or a pull request, not a tool call. The agent can prepare the change; a person completes it.
Frequently asked questions
Do I need an MCP server for deploys? No. It saves context switching, and the CLI already works. The server matters when an agent is doing the diagnosis without a person in the loop.
Can I use one token for everything? You can, and it is the most common way to turn a small integration into a large incident. Scope per server.
What about local Docker? Treat the socket as root access. Fine on a laptop with disposable state, not fine on a host that matters. See MCP servers and guardrails.
Last checked: 10 November 2026.
Related: MCP servers for search, server evaluation, and MCP servers.
