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Word Orb — English vocabulary for reader glossaries

REMOTE · WORDORB.AI

AI-assisted English lexical records. Stored-only batch lookup; coverage and quality vary.

Available components

0 this week 79 Trust /100

Last scanned (3 hours ago)

Scores higher than 79% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Education and Research

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security69
Transport & Reachability100
Schema Quality & AI Usability74
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1029 tokens (~73/item across 14 items; 14 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage91
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 72% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 14 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 23 Oct 26 0
    • Stability: 0.97 → pass security
  • 22 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 20 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 16 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 47 to 57. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://wordorb.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=wordorb.ai CN=WE1,O=Google Trust Services,C=US 18 Oct 2026 16 Jan 2027 ECDSA 256 ECDSA-SHA256 60bca99ded0ceff10e52c575dedbf411
SANs: wordorb.ai, voices.wordorb.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of wordorb.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 1814, 3799 8, 8 Verified
wordorb.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000; includeSubDomains
x-content-type-options nosniff
x-frame-options DENY
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(self), geolocation=()

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://wordorb.ai/mcp Verified 200
http (plaintext) http://wordorb.ai/mcp Served over HTTP 200
MCP tools · 14 exposed · ~1,029 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
check_compliance ~77

Check supplied text for configured content flags and reading-level estimates. This heuristic check is not legal compliance certification. Requires a Word Orb key and applicable plan entitlement; counts toward account quotas.

NameTypeReqDescription
inputstringyesText to check
policyobject–Optional: {brand_voice: {tone, banned_words}, max_grade_level}

No output schema declared.

No examples provided.

define_term ~74

Request a definition adapted to the specified age group. May use stored data or AI generation; review the result. Requires a Word Orb key and applicable plan entitlement; counts toward account quotas. Use lookup_words to avoid generated fallback.

NameTypeReqDescription
age_groupstring–Target age group
termstringyesTerm to define

No output schema declared.

No examples provided.

explore_graph ~55

Retrieve existing links between an English headword and lessons or themes. Graph coverage varies; an empty result is valid. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
wordstringyesWord to trace through the graph

No output schema declared.

No examples provided.

generate_text ~66

Process supplied text for the selected task. May call AI and return generated content; review the result. Requires a Word Orb key and applicable plan entitlement; counts toward account quotas. Use lookup_words for stored lexical records only.

NameTypeReqDescription
inputstringyes–
taskstringyes–

No output schema declared.

No examples provided.

get_lesson ~59

Retrieve an available structured lesson for a day, track and age group. Content availability varies. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
agestring––
dayinteger––
trackstring––

No output schema declared.

No examples provided.

get_quiz ~49

Retrieve available quiz questions for a lesson day and track. Content availability varies. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
dayinteger––
trackstring––

No output schema declared.

No examples provided.

get_related_words ~56

Retrieve available related-word data for an English headword. Relationships and graph coverage vary; an empty result is valid. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
wordstringyesEnglish word to find relations for

No output schema declared.

No examples provided.

get_word_image ~52

Retrieve available image metadata for an English headword. Images and variants are not available for every word. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
wordstringyesWord to get images for

No output schema declared.

No examples provided.

lookup_word ~75

Look up one English headword. May generate and cache a missing record using AI. Definitions and optional IPA, etymology and translations are AI-assisted and may be incomplete or incorrect. Use lookup_words when you require stored records only. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
wordstringyesEnglish word

No output schema declared.

No examples provided.

lookup_words ~147

Retrieve stored AI-assisted English lexical records for a vocabulary list without generating missing words. Free: 1–10 headwords per request and 10 requests/minute; paid: 1–50 headwords. Returns found records, explicit misses and lookup failures. Optional fields and translations vary; review the content. Requires a Word Orb key in the Authorization header; one request counts toward account quota. Evaluate and compare plans at https://wordorb.ai/playground?ref=mcp_batch#evaluate.

NameTypeReqDescription
wordsarrayyesSingle English headwords, with internal hyphens or apostrophes allowed. Spaces and phrases are rejected. Maximum 10 for Free; 50 for paid plans.

No output schema declared.

No examples provided.

search_by_meaning ~78

Search available English word embeddings using a description of a concept. Returns similarity-ranked candidates, not verified answers; embeddings require AI processing. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
limitinteger–Max results (1-25)
querystringyesNatural-language description of the concept (min 2 chars)

No output schema declared.

No examples provided.

search_words ~88

Search stored English headwords or definition text by prefix or fuzzy matching. Returns matching entries, which may be empty. Requires a Word Orb key; counts toward account quota.

NameTypeReqDescription
fieldstring–Search field
fuzzyboolean–Enable fuzzy matching
limitinteger–Max results (1-50)
qstringyesSearch query (min 2 chars)

No output schema declared.

No examples provided.

translate_word ~92

Request a translation for supplied text and a target language. May use stored data or AI generation; language coverage and quality vary. Requires a Word Orb key and applicable plan entitlement; counts toward account quotas. Use lookup_words to inspect only existing translations.

NameTypeReqDescription
inputstringyesWord or text to translate
target_langstring–ISO language code (es, fr, de, zh, ja, etc.)

No output schema declared.

No examples provided.

word_of_the_day ~61

Retrieve the stored daily word and available fields. The selected word is shared for a given date. No API key is required; this is not a guarantee of content accuracy.

NameTypeReqDescription
datestring–ISO date (YYYY-MM-DD). Defaults to today.

No output schema declared.

No examples provided.

Install

How do I install the Word Orb — English vocabulary for reader glossaries MCP server?

Word Orb — English vocabulary for reader glossaries is a hosted endpoint at https://wordorb.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · wordorb.ai

# add to Claude Code
claude mcp add --transport http nicoletterankin-orb-platform 'https://wordorb.ai/mcp'
Common questions

What is the Word Orb — English vocabulary for reader glossaries MCP server?

Word Orb — English vocabulary for reader glossaries is an MCP server listed in the public MCP registry as io.github.nicoletterankin/orb-platform. AI-assisted English lexical records. Stored-only batch lookup; coverage and quality vary. This page covers its hosted endpoint (https://wordorb.ai/mcp).

Is the Word Orb — English vocabulary for reader glossaries MCP server safe to use?

Word Orb — English vocabulary for reader glossaries scores 79 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Word Orb — English vocabulary for reader glossaries MCP server expose?

Word Orb — English vocabulary for reader glossaries exposes 14 tools: lookup_words, lookup_word, search_words, get_related_words, word_of_the_day, and 9 more. Their descriptions and schemas cost roughly 1,029 tokens of context every time the server is loaded.

Does the Word Orb — English vocabulary for reader glossaries MCP server require authentication?

No. We connected to Word Orb — English vocabulary for reader glossaries without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Word Orb — English vocabulary for reader glossaries MCP server still maintained?

Word Orb — English vocabulary for reader glossaries is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.