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erhankeseli

HANAPerformanceMCP

by erhankeseli

[!NOTE] This is a read-only mirror. Original repo and development: git.epod.dev/erhan/HANAPerformanceMCP

SAP HANA Performance MCP Server

An MCP server that gives AI assistants direct access to SAP HANA performance data — query plans, execution stats, memory usage.

Built on the Model Context Protocol with hdbcli.

Tools

Tool

What it does

analyze_query

Captures compile-time and runtime query plans, flags bottlenecks

download_planviz

Exports query plan data as JSON for offline review

get_expensive_statements

Top resource-heavy queries from M_EXPENSIVE_STATEMENTS

get_plan_cache

Cached execution plans from M_SQL_PLAN_CACHE

get_table_statistics

Table and column-level stats for a schema/table

get_memory_stats

Host and per-service memory usage

get_active_sessions

Active connections and running statements

Related MCP server: sap-hana-mcp

Prerequisites

  • Python 3.11+

  • A running SAP HANA instance

  • A database user with MONITORING role (or at minimum, SELECT on SYS.M_* views)

Setup

Clone the repo and install dependencies with uv:

git clone https://git.epod.dev/erhan/HANAPerformanceMCP.git
cd HANAPerformanceMCP
uv sync

Copy the example env file and fill in your HANA connection details:

cp .env.example .env
HANA_HOST=your-hana-host
HANA_PORT=30015
HANA_USER=DBADMIN
HANA_PASSWORD=your-password
HANA_ENCRYPT=true
HANA_SSLVALIDATECERTIFICATE=false
# Optional — set this to connect to a tenant database instead of the system DB
HANA_DATABASE_NAME=CCQ

Running

Start the server directly:

uv run hana-performance-mcp

Or configure it in your MCP client. Example for Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "hana-performance": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/HANAPerformanceMCP",
        "run", "hana-performance-mcp"
      ],
      "env": {
        "HANA_HOST": "your-hana-host",
        "HANA_PORT": "30015",
        "HANA_USER": "DBADMIN",
        "HANA_PASSWORD": "your-password",
        "HANA_ENCRYPT": "true",
        "HANA_SSLVALIDATECERTIFICATE": "false",
        "HANA_DATABASE_NAME": "your-tenant-db"
      }
    }
  }
}

For Claude Code, add the same config under mcpServers in .claude/settings.json.

How It Works

The server connects to HANA through a thread-safe connection pool (3 connections by default). Each tool runs read-only queries against system views.

analyze_query runs EXPLAIN PLAN for the compile-time plan, then optionally executes the query and pulls runtime stats from M_EXPENSIVE_STATEMENTS. It checks for full table scans, inefficient joins, memory hotspots, engine mismatches, and cost outliers.

Only SELECT/WITH statements are allowed. Row limits are enforced (max 10,000).

License

MIT

Related MCP Connectors

  • The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.

  • Cloud-hosted MCP server for secure AI access to enterprise data sources via CData Connect AI.

  • MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.

  • The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.

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