# protocontext

> protocontext — protocontext-protocontext. Use this tool when you need to create a deterministic knowledge layer for Retrieval-Augmented Generation (RAG) systems, providing a standardized framework for semantic retrieval and search of AI-readable web content. It solves problems related to information retrieval, knowledge management, and AI content understanding, offering a git-based interface for integration and development. Ideal for use cases requiring efficient and standardized access to web content for AI applications.

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

## Description

Deterministic knowledge layer for RAG systems.  Open standard + search engine + semantic retrieval for AI-readable web content.

## Trust

- **Trust score (0–1):** 0.10
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

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

## 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": "protocontext-protocontext"
    }
  }
}
```

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