Lead Scraping Plan MCP Server (saurabhshuklagrowisto/lead-scraping-plan) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 7 tools. No publisher has claimed this listing.

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C
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74/100

Lead Scraping Plan MCP Server

Enables running the lead scoring and outbound pipeline by talking to Claude, including scraping healthcare job postings, scoring against buyer ICP, gating on company size, and managing sequences.

→ saurabhshuklagrowisto/lead-scraping-plan· listed on glama

Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

saurabhshuklagrowisto

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
🚨
Secret credentials may flow to a network call
6 flows detected: SUPABASE_SERVICE_KEY. We can’t prove the destination matches the brand the credential belongs to.
🚨
Code appears obfuscated
1 file are unreadable to a human reviewer. Cannot audit what they do.
🔐
You'll be asked for 1 credential: SUPABASE_SERVICE_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes7 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

pipeline_status

Funnel counts + integration health for the staffing outbound pipeline.

list_leads

List scored leads. Filter by verdict (qualified|deprioritized|disqualified) and limit.

get_lead

Get one lead by id.

submit_feedback

Label a posting to teach the scorer. verdict: agree|too_high|too_low|wrong_disqualify.

teach_rule

Add a rule in plain English (becomes a candidate rule, eval-gated before it goes active).

run_eval

Run the eval harness on the 61-entry human holdout. mode: baseline (old AI) or candidate (our scorer).

learning_status

Current active rubric version, learned rules, latest eval agreement, and feedback collected.

// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configSUPABASE_URL
🔐 secretSUPABASE_SERVICE_KEY
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

7/7 tools missing one or more hints — pipeline_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_leads (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_lead (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +4 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

Readable source code

1 file are minified or bundled, which is usually build output rather than concealment

Ship unminified, readable source.

Secrets stay with their owner

6 secrets sent to a request target we could not resolve (SUPABASE_SERVICE_KEY → dynamic, SUPABASE_SERVICE_KEY → dynamic) — often a configured endpoint, not necessarily third-party

Audit where credentials are sent. A NOTION_TOKEN should only reach api.notion.com — never a third-party host.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
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commit: acef75045b527f3ae5b4aa7081fea57b527ddba2
code hash: 0af5505f44306ff1320f083120576aa150f12106c6da1081c9d9be31bca56738
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