HANAPerformanceMCP
Provides direct access to SAP HANA performance data, including query plans, execution stats, and memory usage via system views.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@HANAPerformanceMCPAnalyze query plan for SELECT count(*) FROM sales"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
[!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 |
| Captures compile-time and runtime query plans, flags bottlenecks |
| Exports query plan data as JSON for offline review |
| Top resource-heavy queries from |
| Cached execution plans from |
| Table and column-level stats for a schema/table |
| Host and per-service memory usage |
| Active connections and running statements |
Related MCP server: sap-hana-mcp
Prerequisites
Python 3.11+
A running SAP HANA instance
A database user with
MONITORINGrole (or at minimum, SELECT onSYS.M_*views)
Setup
Clone the repo and install dependencies with uv:
git clone https://git.epod.dev/erhan/HANAPerformanceMCP.git
cd HANAPerformanceMCP
uv syncCopy the example env file and fill in your HANA connection details:
cp .env.example .envHANA_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=CCQRunning
Start the server directly:
uv run hana-performance-mcpOr 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
This server cannot be deployed
Maintenance
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.
Related MCP Servers
- FlicenseBqualityNot gradedmaintenanceAn MCP server that enables AI assistants to interact with SAP systems via the ABAP Development Tools (ADT) REST API. It allows users to read ABAP source code, inspect DDIC objects, and execute SQL queries directly.66-
- AlicenseNot gradedqualityDmaintenanceAn MCP server for SAP HANA that enables listing tables, columns, running SQL queries, and looking up SAP table descriptions, all through natural language via AI assistants.MIT
- AlicenseNot gradedqualityDmaintenanceA config-driven MCP server that exposes OData and REST APIs as MCP tools, enabling AI assistants to query, manage, and monitor SAP backends through natural language.37 npm29MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that connects AI assistants to SAP systems via the ADT REST API, enabling read, write, syntax-check, and activation of ABAP code directly from the chat.3MIT