# chronicle-mcp

> Use this tool when you need to analyze and search through large volumes of agent conversation logs from Antigravity and Cursor workspaces. It solves problems related to information retrieval, semantic search, and token analysis, providing valuable insights through benchmarking capabilities. The tool takes conversation logs as input and outputs searchable data, making it ideal for use cases requiring in-depth log analysis and knowledge extraction.

Canonical page: https://skillsregistry.net/skills/loerei-chronicle-mcp  
JSON: https://api.skillsregistry.net/v1/skills/loerei-chronicle-mcp

## Description

Indexes and searches agent conversation logs from Antigravity and Cursor workspaces, enabling semantic search, token analysis, and benchmarking over local SQLite storage.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lohrpomgzt)
- **Repository:** <https://github.com/loerei/chronicle-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": "loerei-chronicle-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/loerei-chronicle-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/loerei-chronicle-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