# toolselect

> Use this tool when you need to determine the most effective tools for a specific task, as it provides personalized recommendations based on usage patterns and success rates. The toolselect server takes in task descriptions and usage data as inputs and outputs tailored tool suggestions, streamlining workflow and improving productivity. It is particularly useful in dynamic environments where tasks and tool effectiveness can change over time.

Canonical page: https://skillsregistry.net/skills/sangokp-mcp-toolselect  
JSON: https://api.skillsregistry.net/v1/skills/sangokp-mcp-toolselect

## Description

An MCP server that recommends which tools to use for a given task. It learns from usage patterns and adapts recommendations over time based on success rates.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ifceowkrn4)
- **Repository:** <https://github.com/Aegis-AI-Cooperative/mcp-toolselect>

## 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": "sangokp-mcp-toolselect"
    }
  }
}
```

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