mcp-mock-client
Create mock MCP client for server testing with request/response simulation.
Best use case
mcp-mock-client is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create mock MCP client for server testing with request/response simulation.
Teams using mcp-mock-client should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mcp-mock-client/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mcp-mock-client Compares
| Feature / Agent | mcp-mock-client | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create mock MCP client for server testing with request/response simulation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# MCP Mock Client
Create mock MCP client for server testing.
## Generated Patterns
```typescript
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';
import { spawn } from 'child_process';
export async function createTestClient(serverCmd: string, args: string[]) {
const proc = spawn(serverCmd, args, { stdio: ['pipe', 'pipe', 'inherit'] });
const transport = new StdioClientTransport({ reader: proc.stdout!, writer: proc.stdin! });
const client = new Client({ name: 'test-client', version: '1.0.0' }, { capabilities: {} });
await client.connect(transport);
return { client, close: () => proc.kill() };
}
export async function testTool(client: Client, name: string, args: Record<string, unknown>) {
const result = await client.callTool({ name, arguments: args });
return result;
}
```
## Target Processes
- mcp-server-testing-suite
- mcp-tool-implementationRelated Skills
mock-spec-extractor
Extracts design specifications from mock images including colors, typography, spacing, and component details
api-mock-server
Generate and run mock API servers from OpenAPI specifications
sdk-mock-generator
Generate mock servers and clients for SDK testing
client-server
Client-server architecture skill for authority models and validation.
electron-mock-factory
Generate mocks for Electron APIs (ipcMain, ipcRenderer, dialog, etc.) for unit testing
cli-mock-stdin
Create mock stdin utilities for interactive CLI testing.
codeforces-api-client
Interface with Codeforces API for contest data, problem sets, and submissions
atcoder-client
Interface with AtCoder for Japanese competitive programming contests
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.