# CMP-server Pocket Option 2026

> CMP-server Pocket Option 2026 — rufus011-cmp-server-pocket-option-2026. Use this tool when you need to automate interactions with the PocketOption trading platform, enabling AI assistants to retrieve balance information, candle data, and asset details, as well as place trades and coordinate with multiple agents. It solves problems related to trading automation, data retrieval, and multi-agent coordination. The tool accepts inputs such as trade parameters and asset identifiers, and outputs include balance updates, candle data, and trade execution status.

Canonical page: https://skillsregistry.net/skills/rufus011-cmp-server-pocket-option-2026  
JSON: https://api.skillsregistry.net/v1/skills/rufus011-cmp-server-pocket-option-2026

## Description

Enables AI assistants to interact with the PocketOption trading platform via MCP, including balance checks, candle data, asset screening, and trade placement, with support for multi-agent coordination.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zi6shn2l86)
- **Repository:** <https://github.com/Rufus011/CMP-server_Pocket-option-2026>

## 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": "rufus011-cmp-server-pocket-option-2026"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rufus011-cmp-server-pocket-option-2026` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rufus011-cmp-server-pocket-option-2026/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