ExtractMCP
PYPI · MCPPRODUCTS-EXTRACT
Turn any URL or HTML into clean markdown, tables, links or JSON for agents
Available components
Last scanned (1 day ago)
Scores higher than 63% of PyPI servers
Category Web Scraping
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 Security100
- No malware found by supply-chain analysis.Pass
- 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
- 3 of 48 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency6
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 0 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability61
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 283 tokens (~47/item across 6 items; 6 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% 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 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 16 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 15 Oct 26 43
First indexed and scored.
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 16 Oct 2026 · Analysed pypi/mcpproducts-extract@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
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 48 packages
| Packages resolved | 48 |
|---|---|
| Stale | 2 |
| No linked repository | 1 |
| 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 →
cloud_extract ~70
PREMIUM (needs MPX_API_KEY): cloud extraction for JS-rendered pages (SPA/React) and batch jobs — a real browser renders the page server-side, then returns clean data. fmt: markdown | text | json | html.
| Name | Type | Req | Description |
|---|---|---|---|
| fmt | string | – | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
extract_json ~44
Fetch a JSON endpoint and return it (optionally select a dotted path like 'data.items.0.title').
| Name | Type | Req | Description |
|---|---|---|---|
| path | string | – | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
extract_links ~55
All links from a URL or HTML: [{text, href}] (relative hrefs resolved against base_url/page).
| Name | Type | Req | Description |
|---|---|---|---|
| base_url | string | – | – |
| limit | integer | – | – |
| url_or_html | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
extract_tables ~41
Extract all HTML tables from a URL or raw HTML as JSON arrays of rows.
| Name | Type | Req | Description |
|---|---|---|---|
| min_rows | integer | – | – |
| url_or_html | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
extract_text ~28
Clean readable text from an HTML string (scripts/styles/nav stripped).
| Name | Type | Req | Description |
|---|---|---|---|
| html | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
fetch_markdown ~45
URL -> clean readable markdown (trafilatura if available; stdlib fallback). Headings preserved when possible.
| Name | Type | Req | Description |
|---|---|---|---|
| links | boolean | – | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the ExtractMCP MCP server?
ExtractMCP runs locally as a PyPI package, launched with uvx mcpproducts-extract. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · mcpproducts-extract
claude mcp add com-mcpproducts-extract -- uvx mcpproducts-extract
What is the ExtractMCP MCP server?
ExtractMCP is an MCP server listed in the public MCP registry as com.mcpproducts/extract. Turn any URL or HTML into clean markdown, tables, links or JSON for agents. This page covers its PyPI package (mcpproducts-extract).
Is the ExtractMCP MCP server safe to use?
ExtractMCP scores 58 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 16 October 2026. 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 ExtractMCP MCP server expose?
ExtractMCP exposes 6 tools: extract_text, fetch_markdown, extract_tables, extract_links, extract_json, cloud_extract. Their descriptions and schemas cost roughly 283 tokens of context every time the server is loaded.
Is the ExtractMCP MCP server still maintained?
ExtractMCP is still listed as active in the MCP registry. We last reached this channel on 16 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.