# DataFlow MCP Server

> Use this tool when you need to securely manage MongoDB data with robust CRUD operations, filtering, and pagination. It solves problems related to data security, performance, and scalability by providing health monitoring and rate limiting features. Ideal for production-grade applications, it accepts MongoDB queries as input and returns filtered, paginated data as output.

Canonical page: https://skillsregistry.net/skills/sreetarak2-dataflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sreetarak2-dataflow-mcp

## Description

A production-grade MCP server for secure MongoDB CRUD operations with filtering, pagination, health monitoring, and rate limiting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/koskto0nbn)
- **Repository:** <https://github.com/SreeTarak2/dataflow_mcp>

## 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": "sreetarak2-dataflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sreetarak2-dataflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sreetarak2-dataflow-mcp/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