GLM Search Pro

Web search powered by Zhipu GLM, with dual-backend support: cURL (REST API, preferred) and MCP (via mcporter).

Credentials

This skill requires a Zhipu API key, provided via the ZHIPU_API_KEY environment variable.

cURL mode (preferred)

No setup required. The key is read from $ZHIPU_API_KEY at runtime and sent via HTTP Authorization: Bearer header. In cURL mode, no files are written to disk.

MCP mode (advanced)

If you need MCP mode, setup.sh will write a config file to disk:

Important: The Zhipu MCP broker endpoint requires the API key as a URL query parameter (Authorization=<key>). This is how their SSE endpoint works — the key cannot be passed via HTTP header for MCP connections. Setup writes this to mcporter.json with 600 permissions. If this is not acceptable, use cURL mode only (which passes the key via Authorization header at runtime and writes nothing to disk).

What this skill reads

Recommendation

For maximum security, use cURL mode and skip setup.sh. MCP mode is provided as a convenience but requires persisting the key on disk due to the Zhipu MCP broker's authentication design.

Quick Start

# Set your API key
export ZHIPU_API_KEY="your-api-key"

# Search (cURL mode, no setup needed)
bash scripts/glm-search.sh "your query"

# With options
bash scripts/glm-search.sh -q "latest AI news" -c 20 -r oneWeek -e quark

Backends

The script auto-selects the best available backend:

1. cURL mode (preferred) — curl + ZHIPU_API_KEY env var. Key sent via HTTP header. Nothing written to disk.
2. MCP mode (advanced) — mcporter + config from setup.sh. Key stored in config file for MCP broker auth.

Force a specific mode with --curl or --mcp.

Search Engines

Parameters

Examples

# Basic search (cURL mode auto-selected)
glm-search "OpenClaw framework"

# Recent news, more results
glm-search -q "AI news" -c 20 -r oneWeek

# Chinese content via Sogou
glm-search -q "最新科技新闻" -e sogou -r oneDay

# Domain-specific search
glm-search -q "Python async" -d docs.python.org

# Intent recognition (cURL only)
glm-search -i "What is machine learning"

Response Format

{
  "id": "task-id",
  "created": 1704067200,
  "search_result": [
    {
      "title": "Page Title",
      "content": "Page summary...",
      "link": "https://example.com",
      "media": "Source Name",
      "refer": "ref_1",
      "publish_date": "2026-04-27"
    }
  ]
}

Architecture

glm-search (script)
├── cURL mode (preferred)
│   └── curl + $ZHIPU_API_KEY → Authorization: Bearer header → Zhipu REST API
└── MCP mode (advanced, requires setup)
    └── mcporter → config from setup.sh → Zhipu MCP Broker SSE endpoint

Setup (MCP mode only)

export ZHIPU_API_KEY="your-api-key"
bash scripts/setup.sh

This is only needed for MCP mode. cURL mode works immediately with ZHIPU_API_KEY set.

Configuring the API Key for OpenClaw Gateway

The skill requires ZHIPU_API_KEY to be available in the Gateway process environment. If openclaw skills check shows △ needs setup for this skill, the key is missing.

Systemd (Linux, recommended)

If the Gateway runs as a systemd user service:

# Edit the service override
systemctl --user edit openclaw-gateway

# Add the following in the editor:
[Service]
Environment=ZHIPU_API_KEY=your-api-key-here

# Then reload and restart
systemctl --user daemon-reload
systemctl --user restart openclaw-gateway

Or create the file manually:

mkdir -p ~/.config/systemd/user/openclaw-gateway.service.d
cat > ~/.config/systemd/user/openclaw-gateway.service.d/override.conf << 'EOF'
[Service]
Environment=ZHIPU_API_KEY=your-api-key-here
EOF
systemctl --user daemon-reload
systemctl --user restart openclaw-gateway

Docker / manual

Set the environment variable before starting the Gateway:

export ZHIPU_API_KEY="your-api-key-here"

Or add it to your .env / docker-compose.yml as appropriate.

Verify

After restarting, confirm the skill is ready:

openclaw skills check
# Should show: ✓ glm-search-pro (no longer "needs setup")

Prerequisites

• Zhipu API key — https://open.bigmodel.cn (set as ZHIPU_API_KEY env var)
• curl — pre-installed on most systems
• python3 — used by setup.sh for JSON config generation
• mcporter (optional, for MCP mode) — npm i -g mcporter (invoked via npx)

Troubleshooting

See references/api-notes.md for detailed API reference and common issues.