// SCAN REPORT

Python Codebase Analysis RAG System

14 tools. 8 can modify or destroy data without limits.

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

Last updated: 28 Jun 2026

8 can modify or destroy data

6 read-only

14 tools total

Community server · catalogue entry verified 28/06/2026

How to control Python Codebase Analysis RAG System ↓

TOOL MAP

What Python Codebase Analysis RAG System exposes to your agents

Read (6) Write / Execute (6) Destructive / Financial (2)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

Critical Risk

The most dangerous Python Codebase Analysis RAG System tools

Destructive · High delete_codebase This tool removes an entire codebase from the vector database and system, which cannot be undone. Destructive · Medium remove_codebase_dependency The tool removes/deletes an existing relationship between codebases. Execute · Medium start_watcher Starting a file watcher is an active operation that triggers external monitoring functionality and maintains state. Execute · Medium stop_watcher This tool stops a running background process (file watcher).

8 of Python Codebase Analysis RAG System's 14 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control Python Codebase Analysis RAG System

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

Deny destructive operations

{
  "delete_codebase": {
    "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

{
  "add_codebase_dependency": {
    "limits": [
      {
        "counter": "add_codebase_dependency_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "analyze_snippet": {
    "limits": [
      {
        "counter": "analyze_snippet_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 Python Codebase Analysis RAG System — 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 PYTHON CODEBASE ANALYSIS RAG SYSTEM →

Instant setup, no code required.

FULL CATALOGUE

All 14 Python Codebase Analysis RAG System tools

DESTRUCTIVE 2 tools

Destructive delete_codebase Deletes a codebase Destructive remove_codebase_dependency Removes a dependency relationship between two codebases.

EXECUTE 3 tools

Execute start_watcher Starts a file watcher for the specified codebase directory. Execute stop_watcher Stops the file watcher for the specified codebase. Execute trigger_llm_processing Triggers background LLM processing for code elements in the active codebase.

WRITE 3 tools

Write add_codebase_dependency Adds a dependency relationship between two codebases. Write regenerate_summary Regenerates the LLM summary for the active codebase. Write select_codebase Sets the active codebase context for subsequent commands. Stops the watcher for the previously active codebase

READ 6 tools

Read analyze_snippet Analyzes a code snippet to find related elements in the active codebase. Read ask_question Answers a question about the active codebase using RAG. Read find_element Finds code elements in the active codebase based on criteria. Read get_details Retrieves detailed information for a specific code element in the active codebase. Read list_codebases Lists all registered codebases and their status. Read scan_codebase Scans a directory, associates it with a codebase name, analyzes code, uploads results, generates a summary, an

EXPLORE

Related servers

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

FAQ

Questions about Python Codebase Analysis RAG System

Can an AI agent delete data through the Python Codebase Analysis RAG System MCP server? +

Yes. The Python Codebase Analysis RAG System server exposes 2 destructive tools including delete_codebase, remove_codebase_dependency. 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 Python Codebase Analysis RAG System? +

The Python Codebase Analysis RAG System server has 3 write tools including add_codebase_dependency, regenerate_summary, select_codebase. 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 Python Codebase Analysis RAG System.

How many tools does the Python Codebase Analysis RAG System MCP server expose? +

14 tools across 4 categories: Destructive, Execute, Read, Write. 6 are read-only. 8 can modify, create, or delete data.

How do I enforce a policy on Python Codebase Analysis RAG System? +

Register the Python Codebase Analysis RAG System 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 Python Codebase Analysis RAG System tool call.

Deterministic rules across all 14 Python Codebase Analysis RAG System tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON PYTHON CODEBASE ANALYSIS RAG SYSTEM →

Instant setup, no code required.

14 Python Codebase Analysis RAG System tools catalogued and risk-classified — across an index of 43,000+ MCP servers.