# http-mcp

> Use this tool when you need to securely integrate Large Language Models (LLMs) with external web services, enabling them to make authenticated HTTP requests with features like OAuth2 and session cookies. It solves problems related to secure API interactions, retry logic, and SSRF protection, providing a safe and reliable interface for LLMs to fetch data from web services. The tool accepts API endpoints and authentication credentials as inputs and returns HTTP responses, making it ideal for use cases that require secure web service integration.

Canonical page: https://skillsregistry.net/skills/cudgk-http-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cudgk-http-mcp

## Description

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hl9h50me93)
- **Repository:** <https://github.com/cUDGk/http-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": "cudgk-http-mcp"
    }
  }
}
```

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