# agentic-researcher

> Use this tool when you need to autonomously research and gather information from the web, store knowledge in a local database, and retrieve semantic memory without relying on external vendors. It solves problems related to information gathering, knowledge management, and vendor lock-in by providing a self-contained research and storage solution. The tool takes in web-based information as input and outputs stored knowledge in a local vector database, ideal for use cases requiring independent and flexible information management.

Canonical page: https://skillsregistry.net/skills/meenakshigupta212000-mcp-digital-notepad  
JSON: https://api.skillsregistry.net/v1/skills/meenakshigupta212000-mcp-digital-notepad

## Description

Enables LLMs to autonomously research the web, store knowledge in a local vector database, and retrieve semantic memory without vendor lock-in.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cruw95lwf2)
- **Repository:** <https://github.com/MeenakshiGupta212000/mcp-digital-notepad>

## 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": "meenakshigupta212000-mcp-digital-notepad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meenakshigupta212000-mcp-digital-notepad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meenakshigupta212000-mcp-digital-notepad/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