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OpenRouter MCP Server

OpenRouter MCP Server

by lumishoang
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    • NanoBanana MCP Server

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    • ModelShortlist

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      An MCP server that gives AI assistants current model-selection context from the OpenRouter catalog and Artificial Analysis benchmarks, enabling workload-specific recommendations with constraints like tool calling, context, price, and optional Zero Data Retention. It also helps compare candidate models and inspect catalog, benchmark, ZDR, and cache status.
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct purpose: get single model details, list with basic filters, search with advanced filters, compare multiple, and cache refresh. No overlapping functionality; descriptions clearly differentiate them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using lowercase with underscores: list_models, search_models, get_model, compare_models, refresh_cache. No mixing of conventions.

    Tool Count5/5

    With 5 tools, the server provides a focused set for model discovery and management. This is neither too few nor too many for the domain of querying model information from OpenRouter.

    Completeness5/5

    The tool set covers all essential operations for interacting with OpenRouter models: listing, searching, getting details, comparing, and cache management. No obvious gaps like missing model capability queries, as search covers those.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources