# swagger-json-mcp

> Use this tool when you need to efficiently query and process large Swagger/OpenAPI JSON documents, enabling access to API documentation without loading entire files. It solves problems of slow documentation loading and limited API information access, providing a powerful MCP server for Large Language Models (LLMs). Ideal for use cases where fast API documentation retrieval is crucial, it accepts JSON documents as input and outputs relevant API information.

Canonical page: https://skillsregistry.net/skills/llm-mcp-servers-swagger-json-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llm-mcp-servers-swagger-json-mcp

## Description

A powerful MCP server for querying and processing large Swagger/OpenAPI JSON documents, enabling LLMs to efficiently access API documentation without loading entire files.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-18

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uwj321imyd)
- **Repository:** <https://github.com/LLM-MCP-Servers/swagger-json-mcp>

## 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": "llm-mcp-servers-swagger-json-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llm-mcp-servers-swagger-json-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llm-mcp-servers-swagger-json-mcp/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
