<tool> <purpose>Prepares a codebase for intelligent search by creating a searchable index</purpose> <when_to_use> <scenario>Call this first before searching any new codebase</scenario> <scenario>Required prerequisite for search_codebase</scenario> </when_to_use> <parameters> <parameter name=
AI agents use index_codebase to create or update resources in Mcp Deepcontext — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Deepcontext environment.
This tool creates a new index (a data artifact) from the codebase, which is a write operation. It does not delete or overwrite existing data irreversibly, does not execute code, and has no financial implications. The blast radius is medium since it processes potentially large codebases and writes index data to storage, but misuse is limited to resource consumption or indexing unintended directories.
From the tool's definition Prepares a codebase for intelligent search by creating a searchable index
Documented attack patterns abuse exactly the kind of access index_codebase gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Deepcontext, and nothing reaches the server without passing your rules. This is the rule we recommend for index_codebase:
{
"version": "1",
"default": "deny",
"tools": {
"index_codebase": {
"limits": [
{
"counter": "index_codebase_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}index_codebase stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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<tool> <purpose>Prepares a codebase for intelligent search by creating a searchable index</purpose> <when_to_use> <scenario>Call this first before searching any new codebase</scenario> <scenario>Required prerequisite for search_codebase</scenario> </when_to_use> <parameters> <parameter name=. It is categorised as a Write tool in the Mcp Deepcontext MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Deepcontext MCP server in PolicyLayer and add a rule for index_codebase: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Deepcontext. Nothing to install.
index_codebase is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the index_codebase rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for index_codebase. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
index_codebase is provided by the Mcp Deepcontext MCP server (jmerelnyc/mcp-deepcontext). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Deepcontext, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 Mcp Deepcontext tools catalogued and risk-classified — across an index of 43,000+ MCP servers.