// SCAN REPORT

PySqlitMCP

18 tools. 11 can modify or destroy data without limits.

3 destructive tools with no built-in limits. Policy required.

Last updated: 1 Jul 2026

11 can modify or destroy data

7 read-only

18 tools total

Community server · catalogue entry verified 01/07/2026

How to control PySqlitMCP ↓

TOOL MAP

What PySqlitMCP exposes to your agents

Read (7) Write / Execute (8) Destructive / Financial (3)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

Critical Risk

The most dangerous PySqlitMCP tools

Destructive · High delete_data This tool irreversibly deletes data from database tables. Destructive · High drop_tables This tool performs irreversible deletion of database tables, which cannot be undone. Destructive · Critical restore_database Restoring a database is an irreversible destructive operation: it replaces the live database with backup contents, permanently losing any changes made after the backup point. Execute · Critical execute_sql_statement execute_sql_statement enables execution of arbitrary SQL commands against SQLite databases.

11 of PySqlitMCP's 18 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control PySqlitMCP

PolicyLayer is an MCP gateway — it sits between your AI agents and PySqlitMCP, and nothing reaches the server without passing your rules. These are the rules we recommend:

Deny destructive operations

{
  "delete_data": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations

{
  "backup_database": {
    "limits": [
      {
        "counter": "backup_database_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "export_to_csv": {
    "limits": [
      {
        "counter": "export_to_csv_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register PySqlitMCP — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON PYSQLITMCP →

Instant setup, no code required.

FULL CATALOGUE

All 18 PySqlitMCP tools

DESTRUCTIVE 3 tools

Destructive delete_data 删除表中的数据 Destructive drop_tables 删除指定的数据表 Destructive restore_database 从备份文件恢复数据库

EXECUTE 1 tools

Execute execute_sql_statement execute_sql_statement

WRITE 7 tools

Write backup_database 备份数据库到指定文件 Write create_database create_database Write create_tables create_tables Write import_from_csv 从CSV文件导入数据到表 Write insert_data 向表中插入单条数据 Write insert_multiple_data 向表中批量插入数据 Write update_data 更新表中的数据

READ 7 tools

Read export_to_csv 将表数据导出到CSV文件 Read get_database_info 获取数据库详细信息 Read get_table_count 统计表中的记录总数 Read get_table_info 获取指定表的详细信息 Read list_backup_files 列出所有备份文件 Read list_tables 列出数据库中的所有表 Read select_data 查询表中的数据

EXPLORE

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

FAQ

Questions about PySqlitMCP

Can an AI agent delete data through the PySqlit MCP server? +

Yes. The PySqlitMCP server exposes 3 destructive tools including delete_data, drop_tables, restore_database. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through PySqlitMCP? +

The PySqlitMCP server has 7 write tools including backup_database, create_database, create_tables. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach PySqlitMCP.

How many tools does the PySqlit MCP server expose? +

18 tools across 4 categories: Destructive, Execute, Read, Write. 7 are read-only. 11 can modify, create, or delete data.

How do I enforce a policy on PySqlitMCP? +

Register the PySqlit MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every PySqlitMCP tool call.

Deterministic rules across all 18 PySqlitMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON PYSQLITMCP →

Instant setup, no code required.

18 PySqlitMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.