# agrasandhany

> Use this tool when you need to transform local plain-text notes into a searchable database for AI agents, enabling efficient information retrieval and utilization. It solves the problem of knowledge fragmentation and inaccessibility, allowing AI agents to tap into a unified long-term memory. Through the MCP protocol, it accepts plain-text inputs and generates a searchable memory output, ideal for use cases requiring AI-driven information management and recall.

Canonical page: https://skillsregistry.net/skills/yugandhar-maram-agrasandhany  
JSON: https://api.skillsregistry.net/v1/skills/yugandhar-maram-agrasandhany

## Description

Turns local plain-text notes into searchable long-term memory for AI agents through the MCP protocol.

## Trust

- **Trust score (0–1):** 0.12
- **Verification tier:** scanned
- **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:** [Glama](https://glama.ai/mcp/servers/rnuorqj9tv)
- **Repository:** <https://github.com/yugandhar-maram/agrasandhany>

## 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": "yugandhar-maram-agrasandhany"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yugandhar-maram-agrasandhany` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yugandhar-maram-agrasandhany/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