이 MCP로 할 수 있는 일
Looks up standard-tuning guitar chord names and returns text chord diagrams, including a daily chord prompt.
도구
입력 스키마
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['context', 'llm_model'], 'properties': {'id': {'type': 'integer', 'maximum': 9007199254740991, 'minimum': -9007199254740991, 'description': 'Numeric chord id.'}, 'format': {'enum': ['both', 'image', 'text'], 'type': 'string', 'description': 'Which representations to return. Defaults to "text", which includes a direct URL to a PNG of the chart â\x80\x94 embed that where your surface renders images. Use "image" or "both" only if you need the PNG bytes inline; they cost image tokens and many clients bury them.'}, 'context': {'type': 'string', 'description': 'Explain in 15-25 words, in third person, why this tool is called and how it supports the user\'s goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer\'s recent orders to investigate a billing issue and help support determine the appropriate resolution."'}, 'llm_model': {'type': 'string', 'description': 'The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" â\x80\x94 never guess.'}}}
입력 스키마
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['context', 'llm_model'], 'properties': {'name': {'type': 'string', 'maxLength': 64, 'description': 'A single chord name as written on a chart, e.g. "Am7" or "D/F#".'}, 'format': {'enum': ['both', 'image', 'text'], 'type': 'string', 'description': 'Which representations to return. Defaults to "text", which includes a direct URL to a PNG of the chart â\x80\x94 embed that where your surface renders images. Use "image" or "both" only if you need the PNG bytes inline; they cost image tokens and many clients bury them.'}, 'context': {'type': 'string', 'description': 'Explain in 15-25 words, in third person, why this tool is called and how it supports the user\'s goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer\'s recent orders to investigate a billing issue and help support determine the appropriate resolution."'}, 'llm_model': {'type': 'string', 'description': 'The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" â\x80\x94 never guess.'}}}
입력 스키마
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['context', 'llm_model'], 'properties': {'format': {'enum': ['both', 'image', 'text'], 'type': 'string', 'description': 'Which representations to return. Defaults to "text", which includes a direct URL to a PNG of the chart â\x80\x94 embed that where your surface renders images. Use "image" or "both" only if you need the PNG bytes inline; they cost image tokens and many clients bury them.'}, 'context': {'type': 'string', 'description': 'Explain in 15-25 words, in third person, why this tool is called and how it supports the user\'s goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer\'s recent orders to investigate a billing issue and help support determine the appropriate resolution."'}, 'llm_model': {'type': 'string', 'description': 'The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" â\x80\x94 never guess.'}}}
최근 도구 변경
유사한 MCP 서버
Riddle
Builds, edits, publishes, embeds, and analyzes quizzes, polls, forms, personality tests, and related question banks.
api
Creates, manages, AI-generates, and renders quiz and flashcard videos, including templates and downloadable video outputs.
PodLearn
Searches podcasts and YouTube, transcribes episodes, searches transcripts, generates structured lessons, and creates LinkedIn pos…
Tutorializer Video Tutorials
Manages localized tutorials, voiceover segments, pronunciation rules, and registered rendered tutorial videos.
Escola de Rádio TV & Web (ER+)
Provides read-only access to a Brazilian radio school's courses, classes, teachers, podcasts, blog, services, and availability.
Brainiall Pronunciation
Assesses English pronunciation, transcribes audio, identifies speakers by voiceprint and synthesizes English speech in multiple v…
QuizBase
Searches, filters, samples, and manages a large multilingual catalog of trivia questions with categories, topics, provenance, and…
Speech AI - Pronunciation, STT & TTS
Supports English pronunciation assessment, multilingual speech transcription, text-to-speech synthesis, and phoneme reference dat…