# Coyote MCP Server

> Use this tool when you need to streamline AI development environments with easy setup and configuration across multiple platforms, solving integration challenges and simplifying MCP server management. It provides automated installation scripts and manual configuration options, accepting various input settings and outputting seamless connections to clients like Claude Desktop, VS Code, and Windsurf. Ideal for use when developing and deploying AI applications that require MCP compatibility.

Canonical page: https://skillsregistry.net/skills/sai-adarsh-coyote-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sai-adarsh-coyote-mcp-server

## Description

An MCP server that provides easy setup and configuration for multiple AI development environments including Claude Desktop, VS Code, and Windsurf. Offers automated installation scripts and manual configuration options for seamless integration across different MCP-compatible clients.

## 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:** api-integration
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a8pip0mhog)
- **Repository:** <https://github.com/Sai-Adarsh/coyote-mcp-server>

## 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": "sai-adarsh-coyote-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sai-adarsh-coyote-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sai-adarsh-coyote-mcp-server/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