Provide implementations of advanced data structures
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Set up MCP Inspector for debugging and testing MCP servers with request logging, response inspection, and protocol validation.
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See how to installReview the instructions the agent will receive before you install.
Set up MCP Inspector for debugging and testing MCP servers.
Invoke this skill when you need to:
| Parameter | Type | Required | Description |
|---|---|---|---|
| serverPath | string | Yes | Path to MCP server entry |
| transport | string | No | Transport type (stdio, sse) |
| logging | boolean | No | Enable verbose logging |
{
"mcpServers": {
"my-server": {
"command": "node",
"args": ["dist/index.js"],
"env": {
"DEBUG": "mcp:*",
"NODE_ENV": "development"
}
}
}
}
#!/usr/bin/env node
import { createServer } from './server';
// Enable debug logging
process.env.DEBUG = 'mcp:*';
// Log all stdin/stdout for debugging
const originalWrite = process.stdout.write.bind(process.stdout);
process.stdout.write = (chunk: any, ...args: any[]) => {
if (process.env.MCP_DEBUG_LOG) {
const fs = require('fs');
fs.appendFileSync(
process.env.MCP_DEBUG_LOG,
`[OUT] ${new Date().toISOString()} ${chunk}\n`
);
}
return originalWrite(chunk, ...args);
};
process.stdin.on('data', (chunk) => {
if (process.env.MCP_DEBUG_LOG) {
const fs = require('fs');
fs.appendFileSync(
process.env.MCP_DEBUG_LOG,
`[IN] ${new Date().toISOString()} ${chunk}\n`
);
}
});
// Start server
createServer();
{
"scripts": {
"dev": "tsx watch src/index.ts",
"debug": "MCP_DEBUG_LOG=./debug.log tsx src/index.ts",
"inspect": "npx @anthropic/mcp-inspector node dist/index.js",
"test:mcp": "npx @anthropic/mcp-inspector --test node dist/index.js"
}
}
// tests/mcp-scenarios.ts
export const testScenarios = [
{
name: 'List Tools',
request: {
jsonrpc: '2.0',
method: 'tools/list',
id: 1,
},
validate: (response: any) => {
return response.result?.tools?.length > 0;
},
},
{
name: 'Call Tool - search_files',
request: {
jsonrpc: '2.0',
method: 'tools/call',
params: {
name: 'search_files',
arguments: { pattern: '*.ts', path: './src' },
},
id: 2,
},
validate: (response: any) => {
return !response.error && response.result?.content;
},
},
{
name: 'List Resources',
request: {
jsonrpc: '2.0',
method: 'resources/list',
id: 3,
},
validate: (response: any) => {
return Array.isArray(response.result?.resources);
},
},
];
// Run test scenarios
export async function runScenarios(
send: (msg: any) => Promise<any>
): Promise<void> {
for (const scenario of testScenarios) {
console.log(`Testing: ${scenario.name}`);
const response = await send(scenario.request);
const passed = scenario.validate(response);
console.log(` ${passed ? '✓ PASS' : '✗ FAIL'}`);
if (!passed) {
console.log(' Response:', JSON.stringify(response, null, 2));
}
}
}
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Provide implementations of advanced data structures
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Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
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WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
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Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
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Generate visual representations of algorithm execution
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Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
The English summary is being prepared. Showing the original description.