# Bitte MCP Proxy

> Use this tool when you need to integrate multiple services with Bitte AI using the Model Control Protocol (MCP), enabling seamless communication and control between AI models and various services. It solves problems of compatibility and scalability by providing a unified interface for MCP servers. The tool takes in service requests and outputs controlled model responses, making it ideal for use cases requiring centralized AI model management.

Canonical page: https://skillsregistry.net/skills/bitteprotocol-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bitteprotocol-mcp

## Description

A monorepo containing Model Control Protocol (MCP) servers for different services, primarily focused on Bitte AI integrations.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/benlo7p1h8)
- **Repository:** <https://github.com/BitteProtocol/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": "bitteprotocol-mcp"
    }
  }
}
```

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