# claude-bridge-server

> Use this tool when you need to integrate planning and implementation capabilities in AI model development, leveraging Claude Code for planning and GLM models for execution. It enables seamless collaboration between these two frameworks, streamlining the development process. Ideal for use cases requiring coordinated planning and implementation, such as complex AI workflow management.

Canonical page: https://skillsregistry.net/skills/joncik91-claude-bridge-server  
JSON: https://api.skillsregistry.net/v1/skills/joncik91-claude-bridge-server

## Description

An MCP server that enables collaboration between Claude Code and Z.ai's GLM models — use Claude Opus for planning while GLM handles implementation.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dck4qezawt)
- **Repository:** <https://github.com/Joncik91/claude-bridge-server>

## 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": "joncik91-claude-bridge-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joncik91-claude-bridge-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joncik91-claude-bridge-server/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