# Gibber

> Use this tool when you need to establish secure communication between AI models and external tools, requiring end-to-end encryption and real-time data exchange. It solves problems of data privacy and security by providing cryptographic tools for key pair generation, shared secret derivation, and message encryption/decryption. With inputs of plaintext messages and outputs of encrypted data, Gibber is ideal for applications that demand secure information exchange via server-sent events.

Canonical page: https://skillsregistry.net/skills/anton10xr-gibber  
JSON: https://api.skillsregistry.net/v1/skills/anton10xr-gibber

## Description

This MCP server implementation provides cryptographic tools for secure communication, including key pair generation, shared secret derivation, and message encryption/decryption using SJCL P-256 and AES-CCM. Built with Express.js and TypeScript, it offers real-time communication via server-sent events (SSE). The server is designed for applications requiring end-to-end encryption and secure data exchange between AI models and external tools.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anton10xr-gibber)
- **Repository:** <https://github.com/antonpk1/gibber-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": "anton10xr-gibber"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anton10xr-gibber` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anton10xr-gibber/pull`

---
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