# Eventor MCP Server

> Use this tool when you need to automate event management tasks on Eventor, such as creating and managing events, races, and batches. It solves problems related to manual data entry and synchronization by providing auto-generated tools from the OpenAPI spec. The Eventor MCP Server takes in API specifications as input and outputs automated event management capabilities, making it ideal for use cases that require efficient and scalable event organization.

Canonical page: https://skillsregistry.net/skills/marcossei22-eventor-cli  
JSON: https://api.skillsregistry.net/v1/skills/marcossei22-eventor-cli

## Description

Enables AI agents to manage events, races, and batches on Eventor via auto-generated tools from the OpenAPI spec.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/glb2dtqj81)
- **Repository:** <https://github.com/marcossei22/eventor-cli>

## 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": "marcossei22-eventor-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcossei22-eventor-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcossei22-eventor-cli/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