OpenAI、Git、ファイルシステム、Prometheus 統合を備えた MCP サーバー

MCP/
├── mcp/ # Core MCP library modules
├── scripts/ # Utility scripts and test tools
├── prometheus/ # Prometheus configuration
├── docker-compose.yml # Docker configuration
├── mcp_server.py # Main server implementation
├── mcp_run # Main runner script (shortcut)
└── README.md # This file

pip install -r requirements.txt

export AZURE_OPENAI_ENDPOINT="your-azure-endpoint"
export AZURE_OPENAI_API_KEY="your-azure-api-key"
export AZURE_OPENAI_API_VERSION="2023-05-15"
export AZURE_DEPLOYMENT_NAME="your-deployment-name"

export OPENAI_API_KEY="your-openai-api-key"
# Optional: Specify which models to use
export OPENAI_CHAT_MODEL="gpt-4o-mini" # Default if not specified
export OPENAI_COMPLETION_MODEL="gpt-3.5-turbo-instruct" # Default if not specified

export PROMETHEUS_URL="http://localhost:9090" # Default if not specified

python scripts/start_mcp_server.py

python scripts/start_mcp_server.py --host 0.0.0.0 --port 8000 --debug

./mcp_run

python scripts/test_mcp_client.py

python scripts/test_git_integration.py https://github.com/username/repository

python scripts/test_git_diff.py https://github.com/username/repository [commit-sha]

python scripts/test_filesystem.py

python scripts/test_langflow_integration.py [OPTIONAL_REPO_URL]

python scripts/test_prometheus.py [prometheus_url]

python scripts/langflow_git_analyzer.py https://github.com/username/repository

python scripts/langflow_git_analyzer.py https://github.com/username/repository --search "def main"

python scripts/langflow_git_analyzer.py https://github.com/username/repository --diff

# Basic memory diagnostics with AI analysis
python scripts/ai_memory_diagnostics.py

# Interactive memory dashboard
python scripts/mcp_memory_dashboard.py

# Memory alerting system
python scripts/mcp_memory_alerting.py

python scripts/simulate_memory_pressure.py --target 85 --duration 300

docker compose up -d

docker compose up -d --build memory-stress

./scripts/container-memory-test.sh start

from langflow import MCPAIComponent

# Initialize the client
mcp = MCPAIComponent(mcp_server_url="http://localhost:8000")

# Instant query (current metric values)
result = mcp.prometheus_query("up")

# Range query (metrics over time)
result = mcp.prometheus_query_range(
 query="rate(node_cpu_seconds_total{mode='system'}[1m])",
 start="2023-03-01T00:00:00Z",
 end="2023-03-01T01:00:00Z",
 step="15s"
)

# Get all labels
labels = mcp.prometheus_get_labels()

# Get label values
values = mcp.prometheus_get_label_values("job")

# Get targets
targets = mcp.prometheus_get_targets()

# Get alerts
alerts = mcp.prometheus_get_alerts()

from langflow import MCPAIComponent

mcp = MCPAIComponent(mcp_server_url="http://localhost:8000")

# List available models
models = mcp.list_models()
print(models)

# Generate chat completion with OpenAI model
chat_response = mcp.chat(
 model_id="openai-gpt-chat",
 messages=[
 {"role": "system", "content": "You are a helpful assistant."},
 {"role": "user", "content": "Tell me a joke about programming."}
 ],
 max_tokens=100,
 temperature=0.7
)
print(chat_response)

# Generate text completion with OpenAI model
completion_response = mcp.completion(
 model_id="openai-gpt-completion",
 prompt="Write a function in Python to calculate the factorial of a number:",
 max_tokens=150,
 temperature=0.7
)
print(completion_response)

# Analyze a Git repository
repo_analysis = mcp.analyze_git_repo("https://github.com/username/repository")
print(repo_analysis)

# Search a Git repository
search_results = mcp.search_git_repo("https://github.com/username/repository", "def main")
print(search_results)

# Get the diff of the last commit
diff_info = mcp.get_git_diff("https://github.com/username/repository")
print(diff_info)

# List files in the current directory
dir_contents = mcp.list_directory()
print(dir_contents)

# Read a file
file_content = mcp.read_file("path/to/file.txt")
print(file_content)

# Write to a file
write_result = mcp.write_file("path/to/new_file.txt", "Hello, world!")
print(write_result)

# Search for files
search_result = mcp.search_files("*.py")
print(search_result)

from langflow_git_analyzer import GitCodeAnalyzer

# Initialize the analyzer
analyzer = GitCodeAnalyzer(mcp_server_url="http://localhost:8000")

# Analyze a repository
analyzer.analyze_repository("https://github.com/username/repository")

# Get a summary
summary = analyzer.get_repository_summary()
print(summary)

# Get AI recommendations
recommendations = analyzer.get_repository_recommendations()
print(recommendations)

# Analyze code patterns
pattern_analysis = analyzer.analyze_code_pattern("def process")
print(pattern_analysis)

# Get the last commit diff
diff_info = analyzer.get_last_commit_diff()
print(diff_info)

# Get a formatted summary of the diff
diff_summary = analyzer.get_formatted_diff_summary()
print(diff_summary)

# Get AI analysis of the commit changes
diff_analysis = analyzer.analyze_commit_diff()
print(diff_analysis)