execute_query

Instructions

Args:
    sql: SQL statement to execute.
    max_rows: Maximum rows to return (default: from config).

Returns:
    Query results with columns and rows.

Implementation Reference

• src/cockroachdb_mcp/server.py:67-82 (registration)

  MCP tool registration via @mcp.tool() decorator for the 'execute_query' tool. This is the primary handler invoked by the MCP server, which delegates to the query module.

  @mcp.tool()
  async def execute_query(sql: str, max_rows: int | None = None) -> dict[str, Any]:
      """Execute a SQL query.
  
      Args:
          sql: SQL statement to execute.
          max_rows: Maximum rows to return (default: from config).
  
      Returns:
          Query results with columns and rows.
      """
      try:
          return await query.execute_query(sql, max_rows)
      except Exception as e:
          return {"status": "error", "error": str(e)}

• src/cockroachdb_mcp/tools/query.py:105-128 (handler)

  Main handler logic for executing queries: performs validation (blocked commands, read-only mode) before calling the connection manager.

  async def execute_query(
      query: str,
      max_rows: int | None = None,
  ) -> dict[str, Any]:
      """Execute a SQL query.
  
      Args:
          query: SQL query to execute.
          max_rows: Maximum rows to return.
  
      Returns:
          Query results.
      """
      # Validate first
      validation = await validate_query(query)
      if not validation["is_valid"]:
          return {
              "status": "error",
              "error": "Query validation failed",
              "issues": validation["issues"],
          }
  
      return await connection_manager.execute_query(query, max_rows=max_rows)

• src/cockroachdb_mcp/connection.py:305-364 (helper)

  Low-level helper that executes the SQL query using psycopg AsyncConnection, handles SELECT/non-SELECT, row limits, and formatting results.

  async def execute_query(
      self,
      query: str,
      params: tuple[Any, ...] | None = None,
      max_rows: int | None = None,
  ) -> dict[str, Any]:
      """Execute a query and return results.
  
      Args:
          query: SQL query to execute.
          params: Query parameters.
          max_rows: Maximum rows to return.
  
      Returns:
          Query results.
      """
      conn = await self.ensure_connected()
  
      effective_max_rows = max_rows if max_rows is not None else settings.max_rows
  
      try:
          async with conn.cursor() as cur:
              if params:
                  await cur.execute(query, params)
              else:
                  await cur.execute(query)
  
              # Check if query returns results
              if cur.description is None:
                  # Non-SELECT query (INSERT, UPDATE, DELETE, etc.)
                  return {
                      "status": "success",
                      "rows_affected": cur.rowcount,
                      "message": f"{cur.rowcount} row(s) affected",
                  }
  
              # Fetch results with limit
              rows = await cur.fetchmany(effective_max_rows)
              total_fetched = len(rows)
  
              # Check if there are more rows
              has_more = False
              if total_fetched == effective_max_rows:
                  extra = await cur.fetchone()
                  has_more = extra is not None
  
              # Get column names
              columns = [desc.name for desc in cur.description]
  
              return {
                  "status": "success",
                  "columns": columns,
                  "rows": rows,
                  "row_count": total_fetched,
                  "has_more": has_more,
                  "max_rows": effective_max_rows,
              }
      except Exception as e:
          return {"status": "error", "error": str(e)}

• src/cockroachdb_mcp/tools/query.py:52-102 (schema)

  Input validation schema/logic: checks for blocked commands, read-only mode compatibility, determines query type, and provides validation feedback.

  async def validate_query(query: str) -> dict[str, Any]:
      """Validate a SQL query without executing it.
  
      Args:
          query: SQL query to validate.
  
      Returns:
          Validation result with is_valid and any issues.
      """
      issues: list[str] = []
  
      # Check for empty query
      if not query or not query.strip():
          return {
              "is_valid": False,
              "issues": ["Query is empty"],
              "query_type": None,
          }
  
      # Check for blocked commands
      is_blocked, blocked_cmd = _is_blocked_command(query)
      if is_blocked:
          issues.append(f"Blocked command: {blocked_cmd}")
  
      # Check read-only mode
      if settings.read_only and not _is_read_only_query(query):
          issues.append("Server is in read-only mode; only SELECT/SHOW/EXPLAIN allowed")
  
      # Determine query type
      query_upper = query.strip().upper()
      if query_upper.startswith("SELECT") or query_upper.startswith("WITH"):
          query_type = "SELECT"
      elif query_upper.startswith("INSERT"):
          query_type = "INSERT"
      elif query_upper.startswith("UPDATE"):
          query_type = "UPDATE"
      elif query_upper.startswith("DELETE"):
          query_type = "DELETE"
      elif query_upper.startswith("SHOW"):
          query_type = "SHOW"
      elif query_upper.startswith("EXPLAIN"):
          query_type = "EXPLAIN"
      else:
          query_type = "OTHER"
  
      return {
          "is_valid": len(issues) == 0,
          "issues": issues,
          "query_type": query_type,
          "is_read_only": _is_read_only_query(query),
      }