# SAGE-MCP

> Use this tool when you need to streamline development tasks with a versatile AI assistant that adapts to various tasks like debugging, code analysis, and testing. It solves problems related to context switching, conversation continuity, and smart file handling, providing a seamless experience across multiple AI providers. With intelligent mode selection and automated task adaptation, SAGE-MCP is ideal for developers seeking to boost productivity and efficiency in their workflows.

Canonical page: https://skillsregistry.net/skills/david-strejc-sage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/david-strejc-sage-mcp

## Description

A universal AI assistant MCP server that transforms Claude into a multi-talented development assistant with intelligent mode selection, conversation continuity, and smart file handling. Automatically adapts to different tasks like debugging, code analysis, planning, and testing while supporting multiple AI providers and maintaining context across conversations.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r2qhzbpq20)
- **Repository:** <https://github.com/david-strejc/sage-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": "david-strejc-sage-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/david-strejc-sage-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/david-strejc-sage-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