Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

YouTube Research MCP

NPM · @COYASONG/YOUTUBE-MCP-SERVER

Citation-ready YouTube transcript research and optional channel intelligence for AI agents.

0 this week 94 Trust /100

Last scanned (12 hours ago)

Scores higher than 97% of npm servers

Category Entertainment and Games

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 43 of 123 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to coyaSONG/youtube-mcp-server). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 24 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability81
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1492 tokens (~106/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 Management96
  • Stability check failed: the tool surface changed between 1.2.0 and 2.0.0: 0 tool removals, 1 breaking changes, 0 additions. See how to fix → Fail
Tool Coverage79
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 27% of tool parameters carry a description.Partial
  • Structured output schemas are declared (14% of tools); any adoption earns full credit.Pass
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
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.

  • 3 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 96.

  • 2 Nov 26 −1

    No change was recorded against any check on this day. Stability & Change Management went from 96 to 93.

  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 96.

  • 26 Oct 26 −1

    No change was recorded against any check on this day. Stability & Change Management went from 96 to 93.

  • 20 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 96.

  • 19 Oct 26 0
    • Security disclosure: unverified → pass ▲ functional
  • 18 Oct 26 −1
    • Security disclosure: pass → unverified ▼ functional
  • 17 Oct 26 +2

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 96.

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 · Analysed npm/@coyasong/youtube-mcp-server@2.0.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo coyaSONG/youtube-mcp-server
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/coyaSONG/youtube-mcp-server/.github/workflows/release-mcpb.yml@refs/tags/v2.0.0
Rekor log index 3204309522
Predicate type SLSA build provenance https://slsa.dev/provenance/v1
Subject digest sha512:053c18503205acc8f0fb1debfeab9d146834609fbeb2ebab0c4438f1e94cf637e80c1b8081abfe91691e57ab5b483e9987caa1ae6093f01b3d581ddb8

Background: How many MCP packages publish verified provenance →

Dependencies 123 packages
Packages resolved 123
Deprecated 1
Stale 42
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 14 exposed · ~1,492 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
analyze-channel-videos ~53

[Requires YOUTUBE_API_KEY] Analyze recent videos from a specific channel to identify performance trends

NameTypeReqDescription
channelIdstringyes–
maxResultsnumber––
sortBystring––

No output schema declared.

No examples provided.

compare-videos ~32

[Requires YOUTUBE_API_KEY] Compare statistics for multiple YouTube videos

NameTypeReqDescription
videoIdsarrayyes–

No output schema declared.

No examples provided.

enhanced-transcript ~219

Advanced transcript extraction tool with filtering, search, and multi-video capabilities. Provides rich transcript data for detailed analysis and processing. This tool offers multiple advanced features: 1) Extract transcripts from multiple videos in one request; 2) Filter by time ranges to focus on specific parts; 3) Search for specific content within transcripts; 4) Segment transcripts for structural analysis; 5) Format output in different ways (raw, timestamped, merged text); 6) Include video metadata. Parameters: videoIds (required) - Array of YouTube video IDs (up to 5); language (optional) - Language code; format (optional) - Output format ("raw", "timestamped", "merged"); includeMetadata (optional) - Whether to include video details; filters (optional) - Complex filtering options including timeRange, search, and segment.

NameTypeReqDescription
filtersobject––
formatstring––
includeMetadataboolean––
languagestring––
videoIdsarrayyes–

No output schema declared.

No examples provided.

get-channel-stats ~46

[Requires YOUTUBE_API_KEY] Get statistical information for a specific YouTube channel (subscriber count, total views, video count, etc.)

NameTypeReqDescription
channelIdstringyes–

No output schema declared.

No examples provided.

get-key-moments ~98

Extract concise, timestamp-linked key moments from a video transcript without returning the full transcript. Useful for quickly navigating longer videos. Parameters: videoId (required) - A YouTube video ID or URL; maxMoments (optional) - Number of key moments to extract (default: 5, max: 10).

NameTypeReqDescription
maxMomentsinteger––
videoIdstringyesYouTube video ID or URL

No output schema declared.

No examples provided.

get-segmented-transcript ~147

Divide a video transcript into segments for easier analysis and navigation. This tool splits the video into equal time segments and extracts the transcript for each segment with proper timestamps. Ideal for analyzing the structure of longer videos or when you need to focus on specific parts of the content. Parameters: videoId (required) - The YouTube video ID; segmentCount (optional) - Number of segments to divide the video into (default: 4, max: 10). Returns a markdown-formatted text with each segment clearly labeled with time ranges and containing the relevant transcript text.

NameTypeReqDescription
segmentCountinteger––
videoIdstringyesYouTube video ID or URL

No output schema declared.

No examples provided.

get-trending-videos ~58

[Requires YOUTUBE_API_KEY] Retrieve trending videos by region and category. This helps analyze current popular content trends.

NameTypeReqDescription
categoryIdstring––
maxResultsnumber––
regionCodestring––

No output schema declared.

No examples provided.

get-video-categories ~34

[Requires YOUTUBE_API_KEY] Retrieve available video categories for a specific region

NameTypeReqDescription
regionCodestring––

No output schema declared.

No examples provided.

get-video-comments ~189

[Requires YOUTUBE_API_KEY] Retrieve comment threads for a YouTube video with explicit pagination and plain-text evidence. Use includeReplies for the provider-embedded reply subset, completeReplies for bounded comments.list pagination (100 replies/thread by default, maximum 1000). Each call allows at most 1000 replies, 20 reply requests and 1 MiB of reply JSON; inspect replyCoverage for incomplete or truncated results. Use maxRepliesPerThread for a per-thread cap, searchTerms for source-native comment filtering, and pageToken for the next top-level thread page.

NameTypeReqDescription
completeRepliesboolean––
includeRepliesboolean––
maxRepliesPerThreadinteger––
maxResultsinteger––
orderstring––
pageTokenstring––
searchTermsstring––
videoIdstringyes–

No output schema declared.

No examples provided.

get-video-stats ~46

[Requires YOUTUBE_API_KEY] Get statistical information for a specific YouTube video (views, likes, comments, upload date, etc.)

NameTypeReqDescription
videoIdstringyes–

No output schema declared.

No examples provided.

get-video-transcript ~136

Get the transcript/captions for a YouTube video with optional language selection. This tool retrieves the full transcript of a video with timestamped captions. Each caption includes the text and its timestamp in the video. Parameters: videoId (required) - The YouTube video ID; language (optional) - Language code for the transcript (e.g., "en", "ko", "ja"). If not specified, the default language for the video will be used. Returns a text with each caption line preceded by its timestamp.

NameTypeReqDescription
languagestring––
videoIdstringyesYouTube video ID or URL

No output schema declared.

No examples provided.

research-video ~177

Extract a citation-ready YouTube transcript without requiring a YouTube API key. Accepts a video ID or URL and returns timestamped source links that agents can cite and open directly.

NameTypeReqDescription
contextLinesinteger–Nearby segments to include around query matches
endSecondsnumber–Only inspect captions at or before this time
languagestring–Caption language code, for example en, ko, or ja
matchModestring–Whole-word matching is the default
maxSegmentsinteger–Maximum citations to return; defaults to 200
offsetinteger–Result offset for pagination
querystring–Return only matching transcript segments
startSecondsnumber–Only inspect captions at or after this time
videostringyesYouTube video ID or URL
NameTypeReqDescription
citationsarrayyes–
durationSecondsnumberyes–
languagestringyes–
matchMode–yes–
nextOffset–yes–
offsetintegeryes–
querystring|nullyes–
returnedSegmentsintegeryes–
sourceobjectyes–
sourceUrlstringyes–
timeRangeobjectyes–
totalAvailableSegmentsintegeryes–
totalTranscriptSegmentsintegeryes–
truncatedbooleanyes–
videoIdstringyes–

No examples provided.

research-videos ~105

Run the same focused transcript query across 2 to 5 YouTube videos and return timestamp-linked evidence for comparison. No YouTube API key is required.

NameTypeReqDescription
contextLinesinteger––
languagestring–Optional caption language code
matchModestring––
maxSegmentsPerVideointeger––
querystringyesPhrase or word to find in every transcript
videosarrayyesYouTube video IDs or URLs
NameTypeReqDescription
querystringyes–
resultsarrayyes–
videosRequestedintegeryes–

No examples provided.

search-videos ~152

[Requires YOUTUBE_API_KEY] Search YouTube through the Data API with source-native filters and explicit pageToken continuation. Supports query, result bounds, channel, ordering, resource type, duration, publication window, caption availability, definition and region filters.

NameTypeReqDescription
channelIdstring––
maxResultsnumber––
orderstring––
pageTokenstring––
publishedAfterstring––
publishedBeforestring––
querystringyes–
regionCodestring––
typestring––
videoCaptionstring––
videoDefinitionstring––
videoDurationstring––

No output schema declared.

No examples provided.

Install

How do I install the YouTube Research MCP server?

YouTube Research MCP runs locally as an npm package, launched with npx -y @coyasong/youtube-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @coyasong/youtube-mcp-server

# add to Claude Code
claude mcp add coyasong-youtube-research -- npx -y @coyasong/youtube-mcp-server
Common questions

What is the YouTube Research MCP server?

YouTube Research MCP is listed in the public MCP registry as io.github.coyaSONG/youtube-research. Citation-ready YouTube transcript research and optional channel intelligence for AI agents. This page covers its npm package (@coyasong/youtube-mcp-server).

Is the YouTube Research MCP server safe to use?

YouTube Research MCP scores 94 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 YouTube Research MCP server expose?

YouTube Research MCP exposes 14 tools: search-videos, get-video-comments, research-video, research-videos, get-video-transcript, and 9 more. Their descriptions and schemas cost roughly 1,492 tokens of context every time the server is loaded.

Is the YouTube Research MCP server still maintained?

YouTube Research MCP 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.

What licence is the YouTube Research MCP server under?

YouTube Research MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.