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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "words-in-context": {
      "type": "http",
      "url": "https://words-in-context.gumballtools.com/api/mcp"
    }
  }
}

claude mcp add --transport http words-in-context https://words-in-context.gumballtools.com/api/mcp

[mcp_servers.words-in-context]
url = "https://words-in-context.gumballtools.com/api/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "words-in-context": {
      "type": "remote",
      "url": "https://words-in-context.gumballtools.com/api/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "words-in-context": {
      "type": "http",
      "url": "https://words-in-context.gumballtools.com/api/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=words-in-context&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vd29yZHMtaW4tY29udGV4dC5ndW1iYWxsdG9vbHMuY29tL2FwaS9tY3AifQ%3D%3D"
}

{
  "servers": {
    "words-in-context": {
      "type": "http",
      "url": "https://words-in-context.gumballtools.com/api/mcp"
    }
  }
}

{
  "mcpServers": {
    "words-in-context": {
      "httpUrl": "https://words-in-context.gumballtools.com/api/mcp"
    }
  }
}

extensions:
  "words-in-context":
    enabled: true
    name: "words-in-context"
    type: streamable_http
    uri: "https://words-in-context.gumballtools.com/api/mcp"
    timeout: 300

Quality 86 / 100good

protocol88 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
warn
protocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every use

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene79 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length2 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations3 of 3 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: draw_items (destructiveHint, idempotentHint); check_answer (destructiveHint, idempotentHint); generate_items (destructiveHint, idempotentHint)
pass
tools.token_costabout 1,171 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

3 tools, about 1,171 tokens to load them all · tool set ac10567cd24b · checked 2026-10-19 16:20 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 89 / 100

duplicate-repo

provenance85

liveness100

freshness85

hygiene80

+repository +dns-namespace +website +reachable +uptime-100% ~updated-44d-ago -duplicate-repo(16 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://words-in-context.gumballtools.com/api/mcp` streamable-http	none	yes	100%	921 ms	2026-07-28	2026-10-19

Tools (3)

`check_answer`read-only	Check an answer to a practice item and get the teaching content. Returns whether the choice was correct, which option was right, why it fits the sentence specifically, why the chosen option was wrong, and the reason EVERY distractor fails. Read the distractor reasons out to the learner even when they answered correctly. Knowing why the tempting wrong answer was tempting is the part that transfers to the next question; being told "correct" teaches nothing. Input: `id` from a draw response, and `choice` as the zero-based index of the selected option.
`draw_items`read-only	Draw words-in-context vocabulary practice questions from a curated, human-written bank. Use this to quiz a learner, build a practice set, or check what a question of this type looks like. It is free, deterministic, and costs no inference. IMPORTANT: the response deliberately contains NO answer index and NO explanations. That is so you can present the questions without leaking the answers. Call `check_answer` with the item id and the chosen option to get the answer, why it fits, and why each distractor fails. Input: `count` (1-20, default 5) — an out-of-range count is REFUSED rather than clamped, so you learn the limit. `difficulty` is foundation\|core\|stretch. `theme` is science\|humanities\|social-science\|literature. `seed` makes the draw reproducible: the same seed always returns the same items, so a practice session can be replayed or shared. Format note: these test inference from context, which is how the current digital SAT asks about vocabulary — not recall of definitions. Each item is a sentence with one word blanked and four options.
`generate_items`read-only	Generate new practice items from a passage the learner supplies — their own reading, or the material they got wrong. This is the PAID tier and it costs real money per call, unlike the curated bank. Prefer `draw_items` unless the learner specifically needs questions from their own material. `model` is a priced choice: "economy" at $0.002 per item (Fast and cheap. Good enough for straightforward vocabulary in clear prose.); "standard" at $0.008 per item (Better at writing distractors that are genuinely tempting, which is the hard part of a good practice item.). Pick economy for straightforward prose and standard when the distractors need to be genuinely tempting, which is the hard part of a good question. Limits: passage 200 characters minimum, and `count` at most 5 per call. Generation is capped at 10 calls per caller per day, separately from the free quota. Generated items are NOT reviewed by a person. Every response carries a caveat saying so. Check the answer and the distractor reasons before giving them to a learner — a generated question with two defensible answers is worse than no question. Returns 503 when generation is not enabled on the deployment; fall back to `draw_items`.

Schemas: list_tools.

Also listed as

15 other active names share this repository (showing 10): com.crontoenglish/cron-translator, com.gumballtools/amortize, com.gumballtools/body-metrics, com.gumballtools/check-digit, com.gumballtools/color-companion, com.gumballtools/due-date, com.gumballtools/equation-steps, com.gumballtools/iso-week, com.gumballtools/json-to-types, com.gumballtools/payload-validator

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Official server.json

{
  "name": "com.gumballtools/words-in-context",
  "title": "Words in Context",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://words-in-context.gumballtools.com/api/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.0",
  "repository": {
    "url": "https://github.com/bwalvoord/gumball",
    "source": "github"
  },
  "websiteUrl": "https://words-in-context.gumballtools.com",
  "description": "Words-in-context vocabulary practice questions with distractor explanations."
}