LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text
PYPI · LINKDIGEST-MCP · 2 COMPONENTS
Douyin, Xiaohongshu, TikTok, YouTube, X links to text: transcript, screen text, viral breakdown
Available components
Last scanned (22 hours ago)
Scores higher than 68% of PyPI servers
Category Search and Retrieval
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 Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to jcaiagent7143-ui/linkdigest-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 11 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability59
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1129 tokens (~1129/item across 1 items; 1 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management70
- Stability observed for 21 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 1 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 2 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
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.
- 4 Nov 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.
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 2 Nov 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.
- 1 Nov 26 0
- Package version: 0.2.1 → 0.2.3 functional
- 31 Oct 26 +16
- Malware scan: unverified → pass ▲ security
- 29 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 28 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.
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 4 Nov 2026 · Analysed pypi/linkdigest-mcp@0.2.3
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 | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | jcaiagent7143-ui/linkdigest-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/jcaiagent7143-ui/linkdigest-mcp/.github/workflows/release.yml@refs/tags/v1.0.9 |
| Rekor log index | 3421775208 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:38080e96a614f8d276325c47fb2c2b5e44e1ec6e13f927da3bd58b4111db9bbc |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
digest_url Read a social media post as text ~1,110
Turn a social media URL into LLM-ready context. Works on Xiaohongshu, Douyin, TikTok, YouTube, X and ordinary web pages. Returns the post's transcript, on-screen text, image descriptions, caption and metadata — the things you cannot get by fetching the URL yourself, because these posts are video or images behind tokenised share links. Use this whenever you are given a social media link. Bilibili, Instagram and Facebook are not supported. A long video may not finish in one call: if the result names a job id, call this tool again with that job_id (and no url) to collect it. Set breakdown to true to also get a teardown of how the post is built (hook, timed beats, reusable template) — useful when the user wants to learn from or remake a post. For a long video (a talk, a course, a podcast), set depth to transcript: the whole transcript with a frame a minute, at about half the per-minute price. A digest says how much of the post it captured and what it did not read (a Coverage section in markdown; `coverage` in json), and backs each key point with a short quote the server checked against the post (`key_point_support` in json, verified true or false).
| Name | Type | Req | Description |
|---|---|---|---|
| ask | string | – | A question to answer from the post, in any language: "what products and prices does it recommend?", "does the speaker say X?", "what is step three?". The answer comes with the quotes it rests on, eac… |
| breakdown | boolean | – | Also take the post apart (爆款拆解): the hook in its first seconds, the structure as timed beats, the title formula, cover text, call to action, audience, and a reusable template to make your own version… |
| depth | string | – | How much of a video to read. full (default): the transcript plus frames sampled densely, 1 credit per started minute. transcript: transcript-first, for long videos — the whole transcript plus one fra… |
| format | string | – | markdown (default, best for reading) or json (structured). json adds `coverage` (seconds_transcribed, duration_seconds, largest_frame_gap_seconds, images_read, images_total, not_captured) and `key_po… |
| job_id | string | – | Collect a digest already running. Pass the job id from a previous call instead of url. Use this rather than re-sending the url, which would start the work again. |
| partial_ok | boolean | – | Read the opening minutes the budget affords instead of refusing a video over max_credits or the plan's length cap. Default false: a long video is refused and costs nothing (YouTube excepted: its leng… |
| translate_to | string | – | Also translate the digest into this language: an ISO 639-1 code, optionally with a region (en, ja, zh-CN). The original-language text is always returned; the translation is added alongside it under `… |
| url | string | – | The post URL, including any share tokens. Required unless job_id is given. |
No output schema declared.
No examples provided.
How do I install the LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text MCP server?
LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text runs locally as a PyPI package, launched with uvx linkdigest-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · linkdigest-mcp
claude mcp add dev-linkdigest-linkdigest -- uvx linkdigest-mcp
What is the LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text MCP server?
LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text is an MCP server listed in the public MCP registry as dev.linkdigest/linkdigest. Douyin, Xiaohongshu, TikTok, YouTube, X links to text: transcript, screen text, viral breakdown. This page covers its PyPI package (linkdigest-mcp).
Is the LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text MCP server safe to use?
LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text scores 73 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. 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 LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text MCP server expose?
LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text exposes 1 tool: digest_url. Their descriptions and schemas cost roughly 1,110 tokens of context every time the server is loaded.
Is the LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text MCP server still maintained?
LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text is still listed as active in the MCP registry. We last reached this channel on 4 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 LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text MCP server under?
LinkDigest — Xiaohongshu, Douyin, TikTok, YouTube to text declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.