# TinySearch

> Use this tool when you need to enable web research for low-resource language models or environments with limited capabilities. TinySearch provides a compact web search functionality, allowing models to access relevant information without requiring extensive resources. It takes in queries as input and returns relevant search results as output, making it ideal for use cases where web data is necessary but resources are constrained.

Canonical page: https://skillsregistry.net/skills/marcellm01-tinysearch  
JSON: https://api.skillsregistry.net/v1/skills/marcellm01-tinysearch

## Description

Shrink the web for your local LLMs! Provides web research capabilities to low resource models and environments.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **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/w2ikhp1jn2)
- **Repository:** <https://github.com/TinySuiteHQ/TinySearch>

## 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": "marcellm01-tinysearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcellm01-tinysearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcellm01-tinysearch/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