Skip to main content
Glama

Ensembl MCP Server

test-protein-features.ts4.12 kB
#!/usr/bin/env node /** * UNIT TESTS for ensembl_protein_features tool * Tests protein domain annotations and functional features */ import { EnsemblApiClient } from "../src/utils/ensembl-api"; const client = new EnsemblApiClient(); // Test framework let totalTests = 0; let passedTests = 0; let failedTests = 0; interface TestCase { run(testFunction: () => Promise<void>): Promise<void>; } function test(name: string, expectedToPass: boolean = true): TestCase { return { async run(testFunction: () => Promise<void>): Promise<void> { totalTests++; console.log(`\n📍 ${name}`); try { await testFunction(); if (expectedToPass) { passedTests++; console.log(`✅ PASS`); } else { failedTests++; console.log(`❌ FAIL - Expected this test to fail but it passed`); } } catch (error: unknown) { if (!expectedToPass) { passedTests++; console.log( `✅ PASS - Expected error: ${ error instanceof Error ? error.message : String(error) }` ); } else { failedTests++; console.log( `❌ FAIL - Unexpected error: ${ error instanceof Error ? error.message : String(error) }` ); } } }, }; } async function runProteinFeatureTests(): Promise<void> { console.log("🧬 UNIT TESTS: ensembl_protein_features tool\n"); // Positive tests await test("Get protein features for TP53").run(async () => { const result = await client.getProteinFeatures({ protein_id: "ENSP00000269305", species: "homo_sapiens", }); if (!Array.isArray(result) || result.length === 0) { throw new Error("No protein features found for TP53"); } console.log(` Found ${result.length} protein features`); }); await test("Get protein features for BRCA1").run(async () => { const result = await client.getProteinFeatures({ protein_id: "ENSP00000350283", species: "homo_sapiens", }); if (!Array.isArray(result) || result.length === 0) { throw new Error("No protein features found for BRCA1"); } console.log(` Found ${result.length} protein features`); }); await test("Get specific Pfam domains").run(async () => { const result = await client.getProteinFeatures({ protein_id: "ENSP00000269305", species: "homo_sapiens", feature_type: "Pfam", }); if (!Array.isArray(result)) { throw new Error("Expected protein features array"); } console.log(` Found ${result.length} Pfam domains`); }); // Negative tests console.log("\n🚫 Testing error conditions (these should fail):"); await test("Invalid protein ID", false).run(async () => { await client.getProteinFeatures({ protein_id: "INVALID_PROTEIN_ID", species: "homo_sapiens", }); }); await test("Missing protein ID", false).run(async () => { await client.getProteinFeatures({ species: "homo_sapiens", }); }); await test("Invalid species", false).run(async () => { await client.getProteinFeatures({ protein_id: "ENSP00000269305", species: "invalid_species", }); }); } // Run tests and exit with appropriate code async function main(): Promise<void> { try { await runProteinFeatureTests(); console.log(`\n📊 TEST SUMMARY:`); console.log(` Total tests: ${totalTests}`); console.log(` Passed: ${passedTests}`); console.log(` Failed: ${failedTests}`); console.log( ` Success rate: ${((passedTests / totalTests) * 100).toFixed(1)}%` ); if (failedTests > 0) { console.log(`\n❌ OVERALL: FAILED (${failedTests} test failures)`); process.exit(1); } else { console.log(`\n✅ OVERALL: PASSED (all tests successful)`); process.exit(0); } } catch (error: unknown) { console.error( `\n💥 TEST RUNNER ERROR: ${ error instanceof Error ? error.message : String(error) }` ); process.exit(1); } } main();

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/effieklimi/ensembl-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server