# contextpull

> contextpull — mi2arun-contextpull. Use this tool when you need to retrieve specific sections of documents on demand for large language model (LLM) agents, eliminating unnecessary data transfer. Contextpull solves the problem of information overload by providing exact document sections, utilizing a zero-dependency Python core and SQLite FTS5 for efficient data retrieval. It is ideal for use cases where targeted data extraction is required, with a simple interface for inputting document queries and outputting relevant sections.

Canonical page: https://skillsregistry.net/skills/mi2arun-contextpull  
JSON: https://api.skillsregistry.net/v1/skills/mi2arun-contextpull

## Description

Pull, don't push: exact document sections on demand for LLM agents. MCP server + zero-dependency Python core over SQLite FTS5.

## Trust

- **Trust score (0–1):** 0.27
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/mi2arun/contextpull)

## 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": "mi2arun-contextpull"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mi2arun-contextpull` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mi2arun-contextpull/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