{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_fb6sxd4jggh8","handle":"iflow-mcp-mcp-server-glm-vision","url":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision","links":{"self":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision/record.json","html":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision","markdown":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-server-glm-vision","status":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-server-glm-vision/status","claim":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-mcp-server-glm-vision/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-server-glm-vision/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-server-glm-vision/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-mcp-server-glm-vision","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_mcp-server-glm-vision","summary":"MCP Server for GLM-4.5V integration with Claude Code","description":"# MCP Server GLM Vision\n\nA Model Context Protocol (MCP) server that integrates GLM-4.5V from Z.AI with Claude Code.\n\n## Features\n\n- **Image Analysis**: Analyze images using GLM-4.5V's vision capabilities\n- **Local File Support**: Analyze local image files or URLs\n- **Configurable**: Easy setup with environment variables\n\n## Installation\n\n### Prerequisites\n\n- Python 3.10 or higher\n- GLM API key from Z.AI\n- Claude Code installed\n\n### Setup\n\n1. **Clone or create the project directory:**\n   ```bash\n   cd /path/to/your/project\n   ```\n\n2. **Create and activate virtual environment:**\n   ```bash\n   python3 -m venv env\n   source env/bin/activate  # On Windows: env\\Scripts\\activate\n   ```\n\n3. **Install dependencies:**\n   ```bash\n   pip install -r requirements.txt\n   # or with uv (recommended)\n   uv pip install -r requirements.txt\n   ```\n\n4. **Set up environment variables:**\n   ```bash\n   cp .env.example .env\n   # Edit .env with your GLM API key from Z.AI\n   ```\n\n5. **Add the server to Claude Code:**\n   ```bash\n   # Using uv (recommended)\n   uv run mcp install -e . --name \"GLM Vision Server\"\n\n   # Or manually add to Claude Desktop configuration:\n   claude mcp add-json --scope user glm-vision '{\n     \"type\": \"stdio\",\n     \"command\": \"/path/to/your/project/env/bin/python\",\n     \"args\": [\"/path/to/your/project/glm-vision.py\"],\n     \"env\": {\"GLM_API_KEY\": \"your_api_key_here\"}\n   }'\n   ```\n\n## Configuration\n\nSet these environment variables in your `.env` file:\n\n| Variable | Description | Default |\n|----------|-------------|---------|\n| `GLM_API_KEY` | Your GLM API key from Z.AI | (required) |\n| `GLM_API_BASE` | GLM API base URL | `https://api.z.ai/api/paas/v4` |\n| `GLM_MODEL` | Model name to use | `glm-4.5v` |\n\n## Usage\n\n### Available Tools\n\n#### `glm-vision`\nAnalyze an image file using GLM-4.5V's vision capabilities. Supports both local files and URLs.\n\n**Parameters:**\n- `image_path` (required): Local file path or URL of the image to analyze\n- `prompt` (required): What to ask abo…","publisher":null,"homepage":null,"repository":null,"version":"1.0.1","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_mcp-server-glm-vision","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"media.image-understanding","name":"Image Understanding","confidence":1,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.802,"provenance":"derived"}],"categories":["dev","media"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_mcp-server-glm-vision","registry":"pypi","observedAt":"2026-09-15T19:23:11.277Z","publishedAt":"2025-12-01T08:27:29.488467Z","latestVersion":"1.0.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_mcp-server-glm-vision","url":"https://pypi.org/project/iflow-mcp_mcp-server-glm-vision/","firstSeenAt":"2026-09-09T20:23:45.008Z","fetchedAt":"2026-09-15T19:21:20.353Z","normalizedAt":"2026-09-15T19:21:20.353Z"}]},"firstSeenAt":"2026-09-09T20:23:45.008Z","updatedAt":"2026-09-15T19:23:11.277Z"}