# MCP Database Connector + Agentic Retrieval

> MCP Database Connector + Agentic Retrieval — keerthivanan-mcp-database-connector-agentic-retrievel. Use this tool when you need to access and retrieve specific data from a company database using natural language queries. It solves problems related to data retrieval and management by providing a secure and reliable interface with read-only enforcement and error recovery capabilities. The tool takes natural language inputs and returns relevant data outputs, making it ideal for use cases where complex database queries need to be simplified and streamlined.

Canonical page: https://skillsregistry.net/skills/keerthivanan-mcp-database-connector-agentic-retrievel  
JSON: https://api.skillsregistry.net/v1/skills/keerthivanan-mcp-database-connector-agentic-retrievel

## Description

Enables natural language queries to a company database through the Model Context Protocol, with read-only enforcement and agentic error recovery.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kq06pphiq1)
- **Repository:** <https://github.com/keerthivanan/MCP-Database-connector-Agentic-retrievel>

## 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": "keerthivanan-mcp-database-connector-agentic-retrievel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/keerthivanan-mcp-database-connector-agentic-retrievel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/keerthivanan-mcp-database-connector-agentic-retrievel/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