# pm4py-mcp

> Use this tool when you need to analyze event logs and apply process mining techniques, such as discovery, conformance, and OCEL 2.0, to gain insights into business processes. It solves problems related to process optimization, compliance, and performance improvement by providing research-grade analysis capabilities. The tool takes event logs as input and outputs process models, conformance metrics, and other relevant analytics, making it ideal for use cases where data-driven process improvement is required.

Canonical page: https://skillsregistry.net/skills/azizketata-pm4py-mcp  
JSON: https://api.skillsregistry.net/v1/skills/azizketata-pm4py-mcp

## Description

An MCP server that wraps PM4Py to bring research-grade process mining (event log analysis, discovery, conformance, OCEL 2.0) to Claude and other MCP agents, fully locally.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/an1cx5r9ky)
- **Repository:** <https://github.com/azizketata/pm4py-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": "azizketata-pm4py-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azizketata-pm4py-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azizketata-pm4py-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