# swaggbot

> Use this tool when you need to interact with APIs using natural language, converting Swagger/OpenAPI documentation into conversational interfaces. It solves the problem of complex API interactions by enabling voice or text-based input and output through an MCP server. Ideal for use with AI assistants, swaggbot transforms APIs into user-friendly, conversational experiences.

Canonical page: https://skillsregistry.net/skills/techbloom-ai-swaggbot  
JSON: https://api.skillsregistry.net/v1/skills/techbloom-ai-swaggbot

## Description

Transforms Swagger/OpenAPI documented APIs into conversational interfaces, enabling natural language interaction with APIs through an MCP server for use with AI assistants.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/frrd06h41h)
- **Repository:** <https://github.com/TechBloom-ai/swaggbot>

## 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": "techbloom-ai-swaggbot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/techbloom-ai-swaggbot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/techbloom-ai-swaggbot/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