ocular
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OCULAR_MODEL | Yes | Vision-capable model name | |
| MCP_HTTP_HOST | No | HTTP host binding | 127.0.0.1 |
| MCP_HTTP_PATH | No | HTTP path for MCP endpoint | /mcp |
| MCP_HTTP_PORT | No | HTTP port | 3000 |
| MCP_TRANSPORT | No | Transport mode (stdio or http) | stdio |
| MCP_AUTH_TOKEN | No | Auth token for HTTP transport | |
| OCULAR_API_KEY | Yes | Provider API key | |
| OCULAR_HEADERS | No | Optional custom provider headers as JSON | |
| MCP_AUTH_HEADER | No | Auth header name | authorization |
| MCP_AUTH_SCHEME | No | Auth scheme (e.g., Bearer) | Bearer |
| OCULAR_BASE_URL | Yes | OpenAI-compatible API base URL | |
| OCULAR_CACHE_DIR | No | Cache directory | |
| OCULAR_MAX_TOKENS | No | Maximum generated tokens | |
| OCULAR_TIMEOUT_MS | No | Provider timeout | |
| OCULAR_TEMPERATURE | No | Generation temperature | |
| OCULAR_UPLOADS_DIR | No | Persistent upload directory | |
| OCULAR_MAX_IMAGE_MB | No | Maximum image size | |
| OCULAR_CACHE_ENABLED | No | Enable result cache | |
| OCULAR_UPLOAD_URL_BASE | No | Public base URL used in upload instructions |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageB | Analyze a general image and return structured JSON for a coding agent. |
| extract_text_from_imageB | Extract OCR text from screenshots, documents, tables, terminal output, or code images. |
| analyze_ui_screenshotB | Analyze a webpage, app, UI, or design mockup screenshot for frontend implementation work. |
| diagnose_error_screenshotA | Analyze error, terminal, console, browser, or build failure screenshots. |
| compare_ui_screenshotsB | Compare two UI screenshots and return implementation-useful visual differences. |
| extract_table_from_imageC | Extract visible table data from an image as structured JSON, Markdown, or CSV-oriented output. |
| analyze_chart_imageB | Analyze a chart image and return labels, trends, approximate values, and limitations. |
| create_upload_sessionA | Returns upload instructions for the binary side channel (use this to analyze LOCAL image files without base64 corruption). Before uploading, verify the local file exists and is non-empty with Bash (e.g. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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