Low Risk

search_conversations

Search through conversation history by content (useful for finding specific topics across all conversations)

How to control search_conversations ↓

What search_conversations does on Claude Code History MCP Server

AI agents call search_conversations to retrieve information from Claude Code History MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_conversations needs a policy

This tool retrieves and queries conversation data without any side effects. It matches the 'Read' category definition as it searches and filters existing data. Severity is medium because conversation history may contain sensitive information (API keys, personal data, business logic details) that could be exposed through search results, but the tool itself only reads without modifying or deleting data.

From the tool's definition Tool description states it searches through conversation history by content and finds specific topics across conversations.

Documented attack patterns abuse exactly the kind of access search_conversations gives an agent:

How to control search_conversations

PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Code History MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_conversations:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_conversations": {}
  }
}

search_conversations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Claude Code History MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_conversations

What does the search_conversations tool do? +

Search through conversation history by content (useful for finding specific topics across all conversations). It is categorised as a Read tool in the Claude Code History MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_conversations? +

Register the Claude Code History MCP Server MCP server in PolicyLayer and add a rule for search_conversations: 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 Claude Code History MCP Server. Nothing to install.

What risk level is search_conversations? +

search_conversations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_conversations? +

Yes. Add a rate_limit block to the search_conversations 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.

How do I block search_conversations completely? +

Set action: deny in the PolicyLayer policy for search_conversations. 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.

What MCP server provides search_conversations? +

search_conversations is provided by the Claude Code History MCP Server MCP server (yudppp/claude-code-history-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude Code History MCP Server tool call.

Start from Claude Code History MCP Server, 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 Claude Code History MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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