# Tiny Chat

> Use this tool when you need to efficiently search and interact with vector-based knowledge bases, enabling retrieval-augmented generation and search across large collections. It solves problems of information retrieval and generation by providing a standardized interface for querying and interacting with complex data. Ideal for use cases requiring fast and accurate searching, such as question answering, text generation, and data exploration.

Canonical page: https://skillsregistry.net/skills/to-aoki-tiny-chat  
JSON: https://api.skillsregistry.net/v1/skills/to-aoki-tiny-chat

## Description

A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bdh1u2eube)
- **Repository:** <https://github.com/to-aoki/tiny_chat>

## 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": "to-aoki-tiny-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/to-aoki-tiny-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/to-aoki-tiny-chat/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