# Gleanit

> Use this tool when you need to efficiently discover and curate relevant content from the web and connected sources, solving problems of information overload and knowledge gaps in research and analysis tasks. Gleanit takes in search queries and source inputs, and outputs structured and organized knowledge, enabling AI agents to access curated information. It is ideal for use cases where accurate and relevant information is crucial, such as research, data analysis, and decision-making.

Canonical page: https://skillsregistry.net/skills/gleanit  
JSON: https://api.skillsregistry.net/v1/skills/gleanit

## Description

Gleanit is a content discovery and knowledge curation platform that enables AI agents to search, extract, and organize relevant information from the web and connected sources, providing structured access to curated knowledge for research and analysis tasks.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gleanit)

## 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": "gleanit"
    }
  }
}
```

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