# telemetryflow-go-mcp

> telemetryflow-go-mcp — telemetryflow-telemetryflow-go-mcp. Use this tool when you need to implement an enterprise-grade Model Context Protocol (MCP) server with Claude AI integration, solving problems of model management and deployment in large-scale AI applications. It provides a Golang-based server that handles model context and telemetry data, accepting inputs from various sources and outputting model updates and insights. Ideal for use cases requiring scalable and reliable model management, such as large-scale machine learning deployments.

Canonical page: https://skillsregistry.net/skills/telemetryflow-telemetryflow-go-mcp  
JSON: https://api.skillsregistry.net/v1/skills/telemetryflow-telemetryflow-go-mcp

## Description

Enterprise-Grade Model Context Protocol (MCP) Golang Server with Claude AI Integration

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/telemetryflow/telemetryflow-go-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": "telemetryflow-telemetryflow-go-mcp"
    }
  }
}
```

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