# RemoraFish MCP

> RemoraFish MCP — howdeploy-remorafish. Use this tool when you need to integrate AI chat sessions into your workflow, enabling agents to interact with authorized web sessions via HTTP or stdio, and exchange chat messages and local file attachments. It solves problems of inaccessible AI chat functionality by exposing sessions to agents as MCP tools. This tool is ideal for use cases requiring seamless communication between AI chat services like ChatGPT, DeepSeek, Kimi, and Grok, and agent-based systems.

Canonical page: https://skillsregistry.net/skills/howdeploy-remorafish  
JSON: https://api.skillsregistry.net/v1/skills/howdeploy-remorafish

## Description

Exposes authorized ChatGPT, DeepSeek, Kimi, and Grok web sessions to agents as MCP tools, including chat and local file attachments over HTTP or stdio.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/of4gonnktw)
- **Repository:** <https://github.com/howdeploy/remorafish>

## 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": "howdeploy-remorafish"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/howdeploy-remorafish` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/howdeploy-remorafish/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