Mock, record/replay, verify and chaos-test any HTTP/REST/gRPC/LLM dependency over MCP.
Mockserver MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Mock, record/replay, verify and chaos-test any HTTP/REST/gRPC/LLM dependency over MCP.
MockServer is an HTTP(S) mock server and proxy for testing. It does three things:
Installation goes through your MCP client rather than a global install: point it at mockserver/mockserver on a container image and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Once Mockserver is connected, these are the calls the assistant has available:
OpenAPI — generate expectations directly from an OpenAPI/Swagger specificationVerification — assert which requests were received, in what order, and how many timesPostman — click the button above, or import examples/postman (guide)Version — DateDocumentation — For usage guide please see: www.mock-server.comCommunity — Discussions Issues, Bugs & Feature Requests RoadmapRequirements — The Requirements tool exposed by this serverVersions — Maven Central contains the following MockServer artifacts under the org.mock-server groupId. Every artifact ships in two forms — -no-dependenciesRuntime: MockServer 6.x requires Java 17+. The minimum was raised from Java 11 as part of the Jakarta EE 10 / Spring 7 platform modernisation — see the Java 17 / Jakarta upgrade guide. If you are still on Java 11, pin to the 5.15.x line (no longer receiving security updates). The official Docker image already bundles a Java 17 runtime.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Mockserver's toolset — OpenAPI, Verification, Postman and 5 more — is a fair guide to whether it matches your workflow. It is maintained by com.mock-server; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Mockserver's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| OpenAPI | generate expectations directly from an OpenAPI/Swagger specification. |
| Verification | assert which requests were received, in what order, and how many times. |
| Postman | click the button above, or import [examples/postman](examples/postman) ([guide](https://www.mock-server.com/where/postman.html)). |
| Version | Date |
| Documentation | For usage guide please see: [www.mock-server.com](https://www.mock-server.com/) |
| Community | <table> <tr> <td>Discussions</td> <td></td> </tr> <tr> <td>Issues, Bugs & Feature Requests</td> <td></td> </tr> <tr> <td>Roadmap</td> <td></td> </tr> <tr> <td>Security</td> <td></td> </tr> </table> |
| Requirements | The Requirements tool exposed by this server. |
| Versions | Maven Central contains the following MockServer artifacts under the org.mock-server groupId. Every artifact ships in two forms — -no-dependencies (shaded, zero transitive deps, **recommended**) and the plain form (transi |
{
"mcpServers": {
"mockserver": {
"command": "docker",
"args": ["run", "-i", "--rm", "mockserver/mockserver"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Runtime: MockServer 6.x requires Java 17+. The minimum was raised from Java 11 as part of the Jakarta EE 10 / Spring 7 platform modernisation — see the Java 17 / Jakarta upgrade guide. If you are still on Java 11, pin to the 5.15.x line (no longer receiving security updates). The official Docker image already bundles a Java 17 runtime.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.