# TelemetryFlow

> Use this tool when you need to collect and manage observability and telemetry data through a scalable and modular architecture. TelemetryFlow solves problems related to data collection, code analysis, and system monitoring by providing a unified interface for tool execution, conversation handling, and file operations. It accepts inputs through the TelemetryFlow SDK and supports multiple storage backends, outputting comprehensive telemetry data for code review and debugging tasks.

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

## Description

TelemetryFlow's Python MCP server implementation provides direct access to observability and telemetry data through a clean, domain-driven architecture. Built using CQRS patterns and structured around session management, tool execution, and conversation handling, it offers built-in tools for file operations, system information, and code analysis. The server includes comprehensive telemetry collection through the TelemetryFlow SDK, supports multiple storage backends (PostgreSQL, ClickHouse, Redis), and provides built-in prompts for code review and debugging tasks.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/telemetryflow)
- **Repository:** <https://github.com/telemetryflow/telemetryflow-python-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"
    }
  }
}
```

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