# capture

> Use this tool when you need to integrate disparate data sources, such as emails and documents, into a queryable knowledge base for AI agents. It solves the problem of information fragmentation by making relevant data instantly accessible to MCP-compatible AI assistants, like Claude or Cursor. The tool accepts various input formats, including emails, web pages, and documents, and outputs a unified, searchable knowledge base that enhances AI agent capabilities.

Canonical page: https://skillsregistry.net/skills/captureai-capturemcp  
JSON: https://api.skillsregistry.net/v1/skills/captureai-capturemcp

## Description

capture is a memory layer that ingests emails, Slack threads, web pages, LinkedIn posts, and documents, then makes them queryable by any MCP-compatible AI assistant. Connect your MCP server URL to Claude, Cursor, or any agent and  your entire captured knowledge base becomes available in context — instantly. Capture also extracts decisions, action items, and project history so agents can get up to speed without interrupting your team. No extra workflow required. Forward  an email, save a page, and your AI tools get smarter.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/captureai/capturemcp)

## 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": "captureai-capturemcp"
    }
  }
}
```

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