# KIP

> Use this tool when you need to integrate large language models with knowledge graphs, enabling structured memory and cognitive operations for AI agents. KIP solves problems of transparent and controllable agent reasoning by providing a protocol for querying, manipulating, and discovering knowledge. It takes in natural language inputs and knowledge graph data, outputting structured Knowledge Capsules for persistent memory storage.

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

## Description

KIP (Knowledge Interaction Protocol) bridges large language models with knowledge graphs, providing structured memory and cognitive operation primitives for AI agents. The protocol includes three instruction sets: KQL for querying, KML for knowledge manipulation, and META for schema discovery. Enables persistent memory storage through structured Knowledge Capsules, making agent reasoning more transparent and controllable.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ldclabs-kip)
- **Repository:** <https://github.com/ldclabs/kip>

## 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": "ldclabs-kip"
    }
  }
}
```

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

---
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