# awesome-mcp-api

> awesome-mcp-api — kawsarlog-awesome-mcp-api. Use this tool when you need to streamline AI workflows, automate tasks, or integrate with various systems, as it provides a curated collection of MCP APIs for tasks such as scraping, DevOps, and database management. This API collection accepts various inputs, including git repositories, and outputs functional code for AI agents and LLM automation. Ideal for use cases involving automation, data extraction, and workflow optimization.

Canonical page: https://skillsregistry.net/skills/kawsarlog-awesome-mcp-api  
JSON: https://api.skillsregistry.net/v1/skills/kawsarlog-awesome-mcp-api

## Description

Curated and continuously growing collection of MCP APIs for AI agents, LLM automation, scraping, DevOps, databases, browser control, and real world AI workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kawsarlog/awesome-mcp-api)

## 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": "kawsarlog-awesome-mcp-api"
    }
  }
}
```

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