# linklore

> linklore — linklore-linklore-mcp. Use this tool when you need to access and generate coding knowledge directly within AI systems, leveraging linklore's AI-native coding memory to read and write lore via the MCP interface, solving problems related to automated code documentation and knowledge sharing. It takes in coding queries and outputs relevant lore, enabling seamless integration with AI workflows. Ideal for use cases requiring dynamic coding knowledge management and automated documentation.

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

## Description

AI-native coding memory — lore/doc that AI agents read and write directly, via MCP

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oj09ceactn)
- **Repository:** <https://github.com/linklore/linklore-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": "linklore-linklore-mcp"
    }
  }
}
```

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