# Veta

> Veta — nerdconf-veta. Use this tool when you need to organize and search large amounts of saved content from X posts and long-form articles. Veta solves the problem of information overload by creating a private, searchable context base that can be accessed and enriched by coding agents. It accepts saved posts and articles as input and provides a searchable library as output, ideal for use cases where quick access to reference materials is necessary.

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

## Description

Turns saved X posts and long-form articles into a private, searchable context base accessible via MCP. Lets coding agents import, search, read, and enrich the library using the user's existing browser session.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ktrl0omj5g)
- **Repository:** <https://github.com/nerdconf/veta>

## 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": "nerdconf-veta"
    }
  }
}
```

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