Quick takeaways
- Start with one server, verify permissions, and test before adding more.
- Prefer read-only access for databases and customer-facing systems.
- Build your own server when no official server matches your internal tools.
MCP servers and tools
Fireship covers the growing ecosystem of MCP servers and how they extend AI assistants.
How to use this list
This list focuses on servers that are stable enough to evaluate and useful for common workflows. I have organized them by the type of system they connect to. Setup links point to our guides when available and to official repositories otherwise.
Before installing any server, decide what the assistant should be allowed to read or change. A server is only as safe as the credentials and permissions you give it.
Databases
Developer tools
Productivity
Business systems
Security checklist
- Use a dedicated credential for each server, never your personal admin account.
- Start with read-only scopes and add writes only after the workflow is predictable.
- Restrict access to specific workspaces, repositories, channels, or databases.
- Store tokens in environment variables or a protected config file, not in chat.
- Review audit logs and rotate credentials on a schedule.
Without AI vs. with AI
| Task | Without AI | With AI |
|---|---|---|
| Discovery | Teams build custom integrations from scratch for every tool. | A directory of MCP servers shows which systems already have connectors. |
| Evaluation | Integrations are chosen by popularity without checking permissions or maintenance. | Teams review server scope, activity, documentation, and security before installing. |
| Scope | Every integration gets full access because partial access is harder to configure. | Servers are scoped to specific workspaces, databases, channels, or repositories. |
| Maintenance | Custom scripts break silently when APIs change. | Community or official servers are updated as protocols and APIs evolve. |
| Safety | Servers are installed without reading what data they can access. | Teams audit permissions and prefer read-only access for first deployments. |
FAQ
Which MCP server should I install first?
Start with the system you already use daily and where read-only access is safe. GitHub or Postgres are common first choices.
Are community servers safe to use?
Review the code, check permissions, and prefer servers with active maintenance and clear documentation.
Can I run multiple MCP servers at once?
Yes. Claude Desktop can connect to many servers. Add them one at a time and verify each works before adding the next.
What if there is no server for my tool?
Build one. The build MCP server tutorial shows how to expose your first tool in TypeScript or Python.
Should I connect customer data systems?
Only after legal, security, and privacy review. Start with internal analytics or sanitized data.
Are all MCP servers safe to install?
No. Review the code, permissions, and maintainer activity. Prefer official or well-maintained servers.
How do I find an MCP server for my tool?
Check the official MCP server list, GitHub, and community directories. If none exists, consider building one.
Can I run multiple MCP servers together?
Yes. Hosts like Claude Desktop can connect many servers. Add them one at a time and verify each.
What should I do if a server has too many permissions?
Fork it and reduce scope, or build a minimal server that exposes only the tools you need.
How do I contribute an MCP server?
Publish it with clear documentation, example config, permission notes, and a license. List it in community directories.