# AI Agent MCP Server

> Use this tool when you need to integrate ChatGPT agents with a persistent database, enabling seamless storage and retrieval of reports. It solves the problem of data persistence for scheduled agents, providing a reliable bridge between ChatGPT and MongoDB Atlas. By using this tool, you can input reports from ChatGPT agents and output stored data for later retrieval, ideal for applications requiring data continuity and analysis.

Canonical page: https://skillsregistry.net/skills/vishal1145-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vishal1145-mcp-server

## Description

Enables ChatGPT agents to store and retrieve reports in MongoDB Atlas, acting as a bridge between ChatGPT scheduled agents and a persistent database.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pgqhbeqgae)
- **Repository:** <https://github.com/vishal1145/mcp-server>

## 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": "vishal1145-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vishal1145-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vishal1145-mcp-server/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