# Selvage

> Selvage — naidx0-selvage. Use this tool when you need to unify scattered knowledge across multiple platforms, such as Slack, wikis, code, and databases, and require a hybrid-search interface for exact and semantic queries. Selvage solves the problem of information fragmentation by providing a single interface for agents and humans to search and retrieve relevant data. It accepts natural language queries as input and returns relevant results, making it ideal for use cases where knowledge is dispersed across various sources.

Canonical page: https://skillsregistry.net/skills/naidx0-selvage  
JSON: https://api.skillsregistry.net/v1/skills/naidx0-selvage

## Description

An MCP server that provides a unified hybrid-search interface over Slack, wikis, code, and databases, enabling agents and humans to query scattered knowledge with exact and semantic search.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pdxntohrce)
- **Repository:** <https://github.com/naidx0/selvage>

## 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": "naidx0-selvage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/naidx0-selvage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/naidx0-selvage/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