Affected: pab1it0 adx-mcp-server

Azure Data Explorer MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to execute KQL queries and explore Azure Data Explorer (ADX/Kusto) databases through standardized interfaces. Versions up to and including 0.1.1 contain KQL (Kusto Query Language) injection vulnerabilities in three MCP tool handlers: `get_table_schema`, `sample_table_data`, and `get_table_details`. The `table_name` parameter is interpolated directly into KQL queries via f-strings without any validation or sanitization, allowing an attacker (or a prompt-injected AI agent) to execute arbitrary KQL queries against the Azure Data Explorer cluster. Commit 0abe0ee55279e111281076393e5e966335fffd30 patches the issue.

Affected: PyPI: adx-mcp-server

### Summary

adx-mcp-server (<= latest, commit 48b2933) contains KQL (Kusto Query Language) injection vulnerabilities in three MCP tool handlers: `get_table_schema`, `sample_table_data`, and `get_table_details`. The `table_name` parameter is interpolated directly into KQL queries via f-strings without any validation or sanitization, allowing an attacker (or a prompt-injected AI agent) to execute arbitrary KQL queries against the Azure Data Explorer cluster.

### Details

The MCP tools construct KQL queries by directly embedding the `table_name` parameter into query strings:

**Vulnerable code** ([permalink](https://github.com/pab1it0/adx-mcp-server/blob/48b2933/src/adx_mcp_server/server.py#L228)):

```python @mcp.tool(...) async def get_table_schema(table_name: str) -> List[Dict[str, Any]]: client = get_kusto_client() query = f"{table_name} | getschema" # <-- KQL injection result_set = client.execute(config.database, query) ```

```python @mcp.tool(...) async def sample_table_data(table_name: str, sample_size: int = 10) -> List[Dict[str, Any]]: client = get_kusto_client() query = f"{table_name} | sample {sample_size}" # <-- KQL injection result_set = client.execute(config.database, query) ```

```python @mcp.tool(...) async def get_table_details(table_name: str) -> List[Dict[str, Any]]: client = get_kusto_client() query = f".show table {table_name} details" # <-- KQL injection result_set = client.execute(config.database, quer…