Resources · Agent integrations
MCP server examples
Reference implementations showing how AI applications can connect to tools, services and useful data sources.
What it is
A useful starting point—not another unexplained bookmark.
MCP servers expose tools or data through a shared protocol so compatible AI applications can use them. The official examples help developers understand server structure, tool definitions and the security boundary around external actions.
Useful for
When to use it
- Connecting an agent to an internal service
- Learning the MCP server structure
- Designing safe, reusable AI tools
What you will find
Inside the resource
- Reference server implementations
- Examples of tools and resources
- SDK and protocol patterns
- Links to community-maintained integrations
Quick start
How I would use it
- 01
Start with one safe capability
Expose a read-only search or lookup before adding actions that change external data.
- 02
Choose the closest example
Use a server with a similar data source or tool shape to understand the moving parts.
- 03
Define strict inputs
Give every tool a clear purpose, validated parameters and a minimal permission scope.
- 04
Add approval and logs
Require human confirmation for consequential actions and retain a record of what the agent did.
Ready?
Continue to GitHub · Model Context Protocol
Keep exploring
Where to go next
Next step
Want to use one of these in a real product?
Tell me the user problem. I will help you choose the resource and the safest first integration.