# Contextful

> Use this tool when you need to efficiently manage context for coding agents, streamlining code search, and organizing evidence packs and memory to enhance productivity and accuracy. It solves problems of information overload and disorganization, enabling agents to quickly access relevant data and make informed decisions. Ideal for use in complex coding tasks, debugging, and knowledge-intensive applications.

Canonical page: https://skillsregistry.net/skills/io-github-inferensys-contextful  
JSON: https://api.skillsregistry.net/v1/skills/io-github-inferensys-contextful

## Description

Efficient context management: code search, evidence packs, and memory for coding agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-18

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Inferensys%2Fcontextful)
- **Repository:** <https://github.com/Inferensys/contextful>

## 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": "io-github-inferensys-contextful"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-inferensys-contextful` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-inferensys-contextful/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