# Glasser

> Glasser — ai-glasser-glasser. Use this tool when you need to access multiple paid data APIs through a single interface, solving problems related to data enrichment, SEO, and web scraping. It provides a pay-per-call model, allowing for flexible and cost-effective data retrieval. Ideal for use cases requiring extensive data aggregation, such as market research, competitor analysis, or location-based services.

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

## Description

One key to 1,000+ paid data APIs: enrichment, SEO/SERP, scraping, places, news. Pay per call.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.glasser%2Fglasser)
- **Repository:** <https://github.com/glasser-ai/plugins>

## Use it

MCP endpoint published by the skill: `https://api.glasser.ai/mcp`

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": "ai-glasser-glasser"
    }
  }
}
```

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