# mcp-cliniko

> Use this tool when you need to manage healthcare practices efficiently, as it provides integration with the Cliniko API to handle patient, appointment, and financial operations through natural language inputs, solving problems such as manual data entry and streamlining practice management workflows, with outputs including updated patient records and scheduled appointments. It accepts natural language commands as inputs and returns relevant data and operation results as outputs. This tool is ideal for healthcare professionals seeking to automate and simplify their practice management tasks.

Canonical page: https://skillsregistry.net/skills/andymillar84-cyber-mcp-cliniko  
JSON: https://api.skillsregistry.net/v1/skills/andymillar84-cyber-mcp-cliniko

## Description

Provides integration with the Cliniko API for healthcare practice management, enabling patient, appointment, invoice, and payment operations via natural language.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s2cxvc6b3p)
- **Repository:** <https://github.com/andymillar84-cyber/mcp-cliniko>

## 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": "andymillar84-cyber-mcp-cliniko"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andymillar84-cyber-mcp-cliniko` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andymillar84-cyber-mcp-cliniko/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