# Claude Code Conversation Search MCP

> Claude Code Conversation Search MCP — tonysimonovsky-claude-code-conversation-search-mcp. Use this tool when you need to quickly locate specific conversations or discussions across multiple projects. It solves problems of information overload and disorganization by allowing natural language searches and providing instant resume commands to continue conversations. The tool takes in natural language queries as input and outputs relevant conversation results with actionable commands.

Canonical page: https://skillsregistry.net/skills/tonysimonovsky-claude-code-conversation-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tonysimonovsky-claude-code-conversation-search-mcp

## Description

Enables searching all Claude Code conversations across projects using natural language queries and instantly provides resume commands to continue discussions.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hinivkgl0l)
- **Repository:** <https://github.com/TonySimonovsky/claude-code-conversation-search-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tonysimonovsky-claude-code-conversation-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tonysimonovsky-claude-code-conversation-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tonysimonovsky-claude-code-conversation-search-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt