# MCP API Bridge Server

> Use this tool when you need to integrate disparate APIs and manage IoT devices, spreadsheets, and AI models in a unified framework. The MCP API Bridge Server facilitates CRUD operations on Google Sheets, Azure AI model integration, and real-time MQTT messaging for comprehensive IoT device management. It solves problems related to spreadsheet code generation, AI chat integration, and device management, accepting inputs from various APIs and outputting unified data streams.

Canonical page: https://skillsregistry.net/skills/marty5499-mcp-api-bridge  
JSON: https://api.skillsregistry.net/v1/skills/marty5499-mcp-api-bridge

## Description

A Model Context Protocol server that bridges Google Sheets, Azure AI, and MQTT APIs to facilitate spreadsheet code generation, AI chat integration, and comprehensive IoT device management. It allows users to perform CRUD operations on spreadsheets, integrate Azure AI models, and handle real-time MQTT messaging for IoT applications.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rhp5n8i4av)
- **Repository:** <https://github.com/marty5499/mcp-api-bridge>

## 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": "marty5499-mcp-api-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marty5499-mcp-api-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marty5499-mcp-api-bridge/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
