# recap

> Use this tool when you need to manage and analyze conversation recordings, as it provides a comprehensive MCP server for recording, querying, and statistical analysis of conversation history. It solves problems related to conversation tracking, review, and insight generation, supporting dual transport mode for flexible data exchange. Ideal for use cases requiring in-depth conversation analysis and history management.

Canonical page: https://skillsregistry.net/skills/eric8810-recap  
JSON: https://api.skillsregistry.net/v1/skills/eric8810-recap

## Description

MCP server for conversation recording and review management, supporting recording, querying, and statistical analysis of conversation history with dual transport mode.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gxwhv8i1dr)
- **Repository:** <https://github.com/eric8810/recap>

## 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": "eric8810-recap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eric8810-recap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eric8810-recap/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