
Codex Vision Bridge
A single-file Python MCP server that gives text-only LLMs vision tools for image description, object localization, OCR with bounding boxes, annotation, croppin…
What it does
The specific capability behind this listing, and where to get it.
Codex Vision Bridge
A single-file Python MCP server that gives text-only LLMs vision tools for image description, object localization, OCR with bounding boxes, annotation, croppin…
Agentery has not yet captured structured capability detail for this provider.
Official Codex Vision Bridge links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Codex Vision Bridge good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"name": "Codex Vision Bridge",
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"short_summary": "A single-file Python MCP server that gives text-only LLMs vision tools for image description, object localization, OCR with bounding boxes, annotation, croppin…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
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],
"last_checked": null,
"how_to_connect": {
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"docs": null,
"mcp": null,
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"protocols": []
},
"liveness": {
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"alive": null,
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"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}