# Smart Context MCP Server

> Use this tool when you need to clarify ambiguous queries and provide structured context for Large Language Models (LLMs). It transforms vague inputs into actionable context packages by extracting relevant code, mapping relationships, and offering insightful outputs. Ideal for applications where unclear or complex queries hinder LLM performance, this tool enhances model understanding and accuracy.

Canonical page: https://skillsregistry.net/skills/crisnc100-smart-context-mcp  
JSON: https://api.skillsregistry.net/v1/skills/crisnc100-smart-context-mcp

## Description

An AI Context Engineer that transforms vague queries into structured context packages for LLMs by extracting code, mapping relationships, and providing insights.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zmmn02j3id)
- **Repository:** <https://github.com/crisnc100/smart_context_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": "crisnc100-smart-context-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crisnc100-smart-context-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crisnc100-smart-context-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