// SCAN REPORT

Mcp Deepcontext

Q: Can an AI agent delete data through the Mcp Deepcontext MCP server?

Yes. The Mcp Deepcontext server exposes 1 destructive tools including clear_index. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

Q: How do I prevent bulk modifications through Mcp Deepcontext?

The Mcp Deepcontext server has 1 write tools including index_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 Mcp Deepcontext.

Q: How many tools does the Mcp Deepcontext MCP server expose?

4 tools across 2 categories: Destructive, Read. 2 are read-only. 2 can modify, create, or delete data.

Q: How do I enforce a policy on Mcp Deepcontext?

Register the Mcp Deepcontext 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.

4 tools. 2 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated: 12 Jun 2026

2 can modify or destroy data

2 read-only

4 tools total

Community server · catalogue entry verified 12/06/2026

How to control Mcp Deepcontext ↓

TOOL MAP

What Mcp Deepcontext exposes to your agents

Read (2) Write / Execute (1) Destructive / Financial (1)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

Critical Risk

The most dangerous Mcp Deepcontext tools

Destructive · High clear_index This tool irreversibly deletes indexed codebase data. Write · Medium index_codebase This tool creates a new index (a data artifact) from the codebase, which is a write operation.

2 of Mcp Deepcontext's 4 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control Mcp Deepcontext

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

Deny destructive operations

{
  "clear_index": {
    "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

{
  "index_codebase": {
    "limits": [
      {
        "counter": "index_codebase_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "get_indexing_status": {
    "limits": [
      {
        "counter": "get_indexing_status_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 Mcp Deepcontext — 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 MCP DEEPCONTEXT →

Free to start. No card required.

FULL CATALOGUE

All 4 Mcp Deepcontext tools

DESTRUCTIVE 1 tools

Destructive clear_index <tool> <purpose>Permanently removes all indexed data for a codebase</purpose> <when_to_use> <scenario

WRITE 1 tools

Write index_codebase <tool> <purpose>Prepares a codebase for intelligent search by creating a searchable index</purpose> <when

READ 2 tools

Read get_indexing_status <tool> <purpose>Check if codebases are indexed and get their status information</purpose> <enhanced_featu Read search_codebase <tool> <purpose>Finds relevant code in an indexed codebase using natural language or keyword queries</purpos

EXPLORE

Related servers

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

FAQ

Questions about Mcp Deepcontext

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

Yes. The Mcp Deepcontext server exposes 1 destructive tools including clear_index. 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 Mcp Deepcontext? +

The Mcp Deepcontext server has 1 write tools including index_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 Mcp Deepcontext.

How many tools does the Mcp Deepcontext MCP server expose? +

4 tools across 2 categories: Destructive, Read. 2 are read-only. 2 can modify, create, or delete data.

How do I enforce a policy on Mcp Deepcontext? +

Register the Mcp Deepcontext 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 Mcp Deepcontext tool call.

Deterministic rules across all 4 Mcp Deepcontext tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON MCP DEEPCONTEXT →

Free to start. No card required.

4 Mcp Deepcontext tools catalogued and risk-classified — across an index of 43,000+ MCP servers.