MCP integrations, tool by tool
Every integration guide here answers the same three questions in the same order: does a server actually exist for this tool, what can an agent do once it is connected, and what will bite you in production. Vendor quick-starts stop after step two.
The pattern that repeats across every platform: the setup is rarely the hard part. The hard parts are permission scope (an integration account with the narrowest role you can get away with), result-set size (a query that returns 50k rows will blow through your context window long before it blows through the API quota), and the gap between what the API exposes and what the MCP server actually wraps.
Start read-only. Every guide below tells you how to do that for its specific platform, because 'read-only' means something different in ServiceNow than it does in Postgres.
If you only change one thing after reading any guide here: give the agent its own credentials with its own role, not yours.
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Wiz MCP Server: Setup, Tools & Real Limits
Wiz MCP brings cloud-risk context into AI clients, but its gated documentation, dynamic toolsets, and sensitive data path demand a cautious rollout.
Render MCP Server: Setup, Tools & Real Limits
Render’s official MCP server is excellent for guided diagnosis, but broad credentials and a narrow write surface demand careful production controls.
Metabase MCP Server: Setup, Tools & Real Limits
Metabase now ships an official MCP endpoint, but its permission model, write tools, and result ceilings deserve more attention than the quick-start implies.
SharePoint MCP Server: Setup, Tools & Real Limits
A SharePoint MCP connection can make sites, lists, and files callable by an AI agent, but the right server depends on which SharePoint product you actually mean.
Apollo MCP Server: GraphQL Tools for Your Agent
Apollo's official server can turn a GraphQL API into controlled MCP tools, but production success depends on limiting the operations an agent may run.
Expo MCP Server: Setup, Tools & Real Limits
Expo's first-party MCP server is worth using for live Expo and EAS context, but its write tools and still-experimental local bridge demand tighter controls than the quick-start suggests.
Outlook MCP Server: Setup, Tools & Real Limits
Microsoft now offers a preview Outlook mail connection through Work IQ MCP, but its licensing, consent, and write risks make it a deliberate infrastructure choice rather than a quick inbox add-on.
Clerk MCP Server: Setup, Tools & Real Limits
Clerk’s official MCP server gives coding agents current implementation patterns, but it does not manage your Clerk instance or user data.
Sourcegraph MCP Server: Setup, Tools & Real Limits
Sourcegraph MCP gives coding agents first-party access to enterprise code search, but its value depends on disciplined scoping and realistic expectations.
Workato MCP Server: Setup, Tools & Real Limits
Workato MCP is now an official hosted platform, but its safety and usefulness depend more on tool design and API-client scope than on the connection itself.
Auth0 MCP Server: Setup, Tools & Real Limits
Auth0’s official beta MCP server is useful for bounded tenant administration, but its write tools and narrow API coverage demand deliberate limits.
Miro MCP Server: Setup, Tools & Real Limits
Miro's official remote MCP endpoint turns boards into agent-readable context and writable canvases, but its OAuth, quotas, and layout quality need careful handling.
Smartsheet MCP Server: Setup, Tools & Real Limits
Smartsheet's official MCP server gives AI clients controlled access to live work data, but safe deployment depends on narrow permissions and disciplined writes.
Statsig MCP Server: Setup, Tools & Real Limits
Statsig MCP is a useful official bridge from AI clients to Statsig project data, but write access deserves the same controls as a production deployment tool.
MuleSoft MCP Server: Setup, Tools & Real Limits
MuleSoft MCP brings Anypoint development and governance into AI clients, but its value depends on choosing the right server and tightly limiting write access.
Snyk MCP Server: Setup, Tools & Real Limits
Snyk’s official local MCP server puts code, dependency, container, and IaC scans inside an agent workflow, but it is a scanner—not a general Snyk administration API.
MCP Server for Postgres: the options
Five real MCP servers that talk to Postgres, matched to what you actually run — plus the read-only config that keeps an agent off your production data.
MCP Server for MySQL: The Options Compared
Five real MCP servers connect MySQL to your AI client — here's which to pick, the trade-offs, and the minimal config that works.
MCP Server for SQLite: The Real Options
Four servers cover almost every SQLite use case — here's which one to run and the exact config to paste.
MCP Server for MongoDB: the 4 real options
Four servers connect MongoDB to your agent. One is official, three are community, and only two guard writes properly — here's how to choose.
FAQ
Is there an MCP server for every SaaS tool?
No. Coverage is uneven: developer tools and databases are well served, while many enterprise platforms only have community servers or none at all. Each guide here states plainly what exists for that specific tool, including when the honest answer is 'use the REST API directly'.
Do I need admin rights to connect a tool over MCP?
Usually no, and you should not use them. Most integrations work with a scoped API token or an OAuth app limited to the objects you need. Create a dedicated integration account rather than reusing your own credentials, so the agent's blast radius is separate from yours.
Why does my agent time out on large queries?
Because tool results go into the model's context window. A query returning tens of thousands of rows will exhaust context or hit a transport timeout long before it hits an API limit. Every integration guide here gives the practical row/result caps for that platform.
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