# Archive Search

> Use this tool when you need to retrieve relevant past conversations or specific information from conversation archives. It solves problems of knowledge retrieval and context understanding by enabling semantic search across archives using vector embeddings and text fallback. The Archive Search tool takes in search queries as input and outputs relevant conversation excerpts or summaries, making it ideal for use cases where conversational context and history are crucial.

Canonical page: https://skillsregistry.net/skills/nanayax3-archive-search  
JSON: https://api.skillsregistry.net/v1/skills/nanayax3-archive-search

## Description

Enables semantic search across conversation archives via MCP, allowing AI clients to retrieve relevant past conversations using vector embeddings and text fallback.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ffsjk14579)
- **Repository:** <https://github.com/nanayax3/archive-search>

## 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": "nanayax3-archive-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nanayax3-archive-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nanayax3-archive-search/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