# MCP Monitor

> Use this tool when you need to monitor and troubleshoot agentic AI pipelines in real-time, providing insights into MCP and Python tool calls through metrics, session replays, and alerts. It solves problems related to performance optimization, error detection, and debugging, offering a centralized monitoring interface for multiple MCP servers. The MCP Monitor tool accepts MCP and Python tool calls as inputs and outputs real-time metrics and alerts via a local dashboard.

Canonical page: https://skillsregistry.net/skills/partha-sust16-mcp-monitor  
JSON: https://api.skillsregistry.net/v1/skills/partha-sust16-mcp-monitor

## Description

An observability tool for agentic AI pipelines that intercepts MCP and Python tool calls to provide real-time metrics, session replays, and alerts via a local dashboard. It enables centralized monitoring of multiple MCP servers through multiplexer and proxy modes without requiring changes to existing agent code.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ntr8bhsxia)
- **Repository:** <https://github.com/Partha-SUST16/mcp_monitor>

## 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": "partha-sust16-mcp-monitor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/partha-sust16-mcp-monitor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/partha-sust16-mcp-monitor/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