Sunex Optics
MCP ServerFree*A public MCP server that exposes Sunex Inc's lens and imager catalog to AI assistants. Five tools cover sensor search, detailed geometry (effective width/height/diagonal in mm), compatible-lens lookup with per-lens FOV and angular resolution, full-catalog product search with sample pricing and RF
- Best for
- sensor search for optical components, detailed geometry retrieval for lenses, compatible lens lookup with fov and angular resolution
- Type
- MCP Server · Free
- Score
- 36/100
- Best alternative
- AWS MCP Servers
- Agent-compatible
- Yes — MCP protocol
Capabilities5 decomposed
sensor search for optical components
Medium confidenceThis capability allows users to search for specific sensors within Sunex's lens and imager catalog by leveraging a structured query interface that interacts with the underlying ASP API at optics-online.com. It utilizes a keyword-based search algorithm to match user queries against sensor specifications, ensuring quick retrieval of relevant data. The integration with the ASP API allows for real-time updates and accurate information without requiring an API key.
Utilizes a keyword-based search mechanism directly integrated with the ASP API for real-time data retrieval.
More comprehensive than traditional catalogs due to real-time API integration and no API key requirement.
detailed geometry retrieval for lenses
Medium confidenceThis capability retrieves detailed geometric information about lenses, such as effective width, height, and diagonal measurements in millimeters. It employs a direct query to the ASP API, which returns structured data formatted for easy consumption by AI assistants. The design allows for efficient lookups based on lens identifiers, ensuring users receive precise geometric specifications quickly.
Directly queries the ASP API for geometric data, ensuring accuracy and up-to-date information.
Faster and more accurate than static catalogs due to real-time API data access.
compatible lens lookup with fov and angular resolution
Medium confidenceThis capability enables users to find lenses compatible with specific imagers, providing additional details like field of view (FOV) and angular resolution. It uses a combination of database lookups and calculations based on user input to match lenses with imagers, ensuring that the results are both relevant and detailed. The integration with the ASP API allows for dynamic updates to compatibility data.
Combines compatibility checks with detailed optical parameters, leveraging real-time data from the ASP API.
More detailed than standard lookup tools due to inclusion of FOV and angular resolution metrics.
full-catalog product search with pricing and rfq links
Medium confidenceThis capability allows users to perform a comprehensive search of the entire lens catalog, returning results that include product details, sample pricing, and links for requesting quotes (RFQ). It utilizes a full-text search algorithm against the catalog database, ensuring that users can find products based on various criteria. The integration with the ASP API ensures that pricing and availability are current.
Offers a comprehensive search with integrated pricing and RFQ links, powered by real-time data from the ASP API.
More user-friendly than traditional catalogs due to integrated RFQ links and real-time pricing.
recommend a lens for an imager in one shot
Medium confidenceThis capability provides users with a one-shot recommendation for a lens based on the specifications of a given imager. It employs a decision-making algorithm that analyzes the imager's parameters and matches them with suitable lenses from the catalog, returning a recommended lens along with its specifications. This process is streamlined by the ASP API, which provides up-to-date compatibility data.
Utilizes a decision-making algorithm to provide immediate lens recommendations based on real-time data.
Faster and more efficient than manual searches due to automated matching and real-time data access.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓optical engineers looking for specific sensor data
- ✓design engineers needing precise lens measurements
- ✓optical designers matching lenses to imagers
- ✓procurement specialists looking for lens options
- ✓engineers needing fast lens recommendations
Known Limitations
- ⚠Limited to publicly available data; no write access to modify or add sensors
- ⚠Only supports lenses listed in the Sunex catalog; no custom lens data
- ⚠Compatibility data is limited to the catalog; no custom lens-imager pairs
- ⚠Pricing may vary and is subject to change; no purchase functionality
- ⚠Recommendations are based solely on catalog data; may not cover all use cases
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
*A public MCP server that exposes Sunex Inc's lens and imager catalog to AI assistants. Five tools cover sensor search, detailed geometry (effective width/height/diagonal in mm), compatible-lens lookup with per-lens FOV and angular resolution, full-catalog product search with sample pricing and RFQ links, and a chained "recommend a lens for an imager" one-shot. Powered by Sunex's production ASP API at optics-online.com. Free, read-only, no API key required.*
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