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modelright MCP server

Which MCP servers are modelright's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-26

← Back to modelright

Whose server it is
  • Registry namedev.modelright/modelrightverified in the MCP registry

The registry name sits under modelright.dev. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-26
  • Stateanswerschecked 2026-10-26
  • Tools6
  • Server calls itselfmodelright
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 32 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: compare AI model specs and prices side by side; check context window sizes across providers.
  • Checked on 2 of the 7 days it takes to judge reliability.

Once connected

  • For "compare AI model specs and prices side by side", the likely first call is search_models.
  • For "check context window sizes across providers", the likely first call is list_models.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 2, the first on 2026-10-26
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
  • What an agent can do with it2 of 2 use cases
  • Answeredmeasuring2 of the 7 daily checks it takes to print a share
  • Median first answer127 ms
  • Space in an agent's context≈ 820 tokensthe definitions of all its tools (6), which an agent carries on every turn
  • Tool definitionsB · 83 of 100
  • Typed results0 of 6 toolsdeclared outputSchema: results come typed, read once
  • Not saying whether it only reads or can destroy: 6 of 6

What an agent can do with it

  • can do · compare AI model specs and prices side by side
  • can do · check context window sizes across providers
  • not sure · track recent AI model price changes

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers6 tools · read 2026-10-26
  • list_providers

    List providers tracked by the registry with their model counts. Use provider slugs in list_models / get_model / compare_models.

  • search_models

    Substring search across model name, slug, and provider — the fast path to a model's provider/slug pair for the detail tools.

  • list_models

    List tracked models with pricing and context windows. Filter by provider, modality tag, status, or price/context bounds.

  • get_model

    Full detail for one model (provider+slug from search_models): specs, current price, status, and recent price/availability snapshots.

  • compare_models

    Side-by-side comparison of 2-10 models by provider/slug: context window, input/output price per 1M tokens, modalities, status.

  • get_ingest_status

    Data-freshness check: registry totals and the most recent ingest runs (source, model count, status, time).

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "modelright": {
      "type": "http",
      "url": "https://modelright.dev/api/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http modelright https://modelright.dev/api/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://modelright.dev/api/mcp as a custom connector in the settings.

OpenAPI spec

6 paths, read 2026-10-26. Open the spec ↗

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.