Skip to main content
Glama

Claude Skills MCP Server

by K-Dense-AI
conftest.py2.62 kB
"""Pytest configuration and fixtures.""" import tempfile from pathlib import Path from typing import Generator import pytest from src.claude_skills_mcp.skill_loader import Skill @pytest.fixture def sample_skill_md() -> str: """Sample SKILL.md content with YAML frontmatter.""" return """--- name: Test Skill description: A test skill for validation and testing purposes --- # Test Skill This is a test skill content. ## Features - Feature 1 - Feature 2 ## Usage ```python # Example code import test ``` """ @pytest.fixture def mock_skills() -> list[Skill]: """Create a list of mock skills for testing.""" return [ Skill( name="RNA Analysis", description="Analyze RNA sequencing data and identify differentially expressed genes", content="Full content for RNA analysis skill...", source="test://rna-analysis", ), Skill( name="Protein Folding", description="Predict protein structure using deep learning models", content="Full content for protein folding skill...", source="test://protein-folding", ), Skill( name="Drug Discovery", description="Screen chemical compounds for potential drug targets", content="Full content for drug discovery skill...", source="test://drug-discovery", ), ] @pytest.fixture def temp_skill_dir() -> Generator[Path, None, None]: """Create a temporary directory with test skills.""" with tempfile.TemporaryDirectory() as tmpdir: temp_path = Path(tmpdir) # Create first skill skill1_dir = temp_path / "skill-1" skill1_dir.mkdir() (skill1_dir / "SKILL.md").write_text("""--- name: Local Test Skill 1 description: First local test skill for validation --- # Local Test Skill 1 This is the first local test skill. """) # Create second skill skill2_dir = temp_path / "skill-2" skill2_dir.mkdir() (skill2_dir / "SKILL.md").write_text("""--- name: Local Test Skill 2 description: Second local test skill for validation --- # Local Test Skill 2 This is the second local test skill. """) yield temp_path @pytest.fixture def sample_config() -> dict[str, any]: """Sample configuration for testing.""" return { "skill_sources": [ { "type": "github", "url": "https://github.com/K-Dense-AI/claude-scientific-skills", } ], "embedding_model": "all-MiniLM-L6-v2", "default_top_k": 3, }

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/K-Dense-AI/claude-skills-mcp'

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