Blumify (public, no sign-in)
Server Details
Read existing YouTube and podcast transcripts with summaries and chapters. No sign-in.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of confusing it with anything else. Its purpose (fetching a YouTube/podcast transcript and summary by URL) is unmistakable.
The single tool follows a clear verb_noun convention (get_transcript) with snake_case. With only one tool there is no pattern to break, and the name is self-descriptive.
A one-tool server is thin even for a narrow niche like transcript retrieval; there is no companion capability such as checking whether a URL is already indexed or searching available content. It is defensible as a single-purpose utility but sits at the borderline of under-scoping.
Retrieval of a known transcript is covered, but the surface has dead ends: the description admits results only exist 'if blumify.io already has it,' with no tool to verify coverage, trigger ingestion, or search for content. An agent hitting a missing transcript has no fallback path.
Available Tools
1 toolget_transcriptGet a transcriptARead-onlyIdempotentInspect
The transcript, summary, key points and chapters of a YouTube video or podcast episode, if blumify.io already has it. Give the video or episode URL.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | A YouTube, Apple Podcasts or Spotify episode URL. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and closed-world, so the safety profile is covered. The description adds genuine value by disclosing the returned payload fields and the cache-dependency condition. It stops short of saying whether a cache miss yields an error or empty result, which would complete the picture.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences: the first front-loads the returned content and source, the second is a direct call to action. No filler, no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description carries the burden of describing the return value and does so by enumerating transcript, summary, key points, and chapters. The only gap is undefined behavior on a cache miss, which is minor for a single-parameter read tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the single 'url' parameter is fully documented in the schema, including the accepted sources (YouTube, Apple Podcasts, Spotify). The description's 'Give the video or episode URL' merely restates that, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the resource precisely (transcript, summary, key points, chapters) and the source (YouTube video or podcast episode), so an agent knows exactly what it retrieves. No siblings exist to differentiate from, and the tool name matches the description without tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The clause 'if blumify.io already has it' implicitly signals this only works for already-processed content, which is useful context. However, it gives no guidance on what to do for uncached content, no prerequisites, and no alternatives — usage is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_transcript
Related MCP Connectors
- BlumifyOAuthio.blumify
Transcribe YouTube videos and podcasts, then summarize, ask, translate and follow creators.
1 Transcripts of YouTube videos, playlists and channels with timestamps; SRT or WebVTT too.
Get transcripts from YouTube, TikTok, X, Instagram and more - even when captions are off.
Timestamped transcripts, chapters and clip suggestions from YouTube, Twitch, Kick or TikTok links.
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