Unified 5-in-1 B2B ATS job and signal feed: Greenhouse, Workday, Ashby, Lever, SmartRecruiters.
Nothing to run from here
LinkedIn Profile is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
99/100
trust score
6
tools declared
local
runs on your machine
—
downloads a day
What it does
Review and improve LinkedIn profile text the way recruiters search. No scraping or login.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user ruthvik-bandari-linkedin-profile-mcp '--' npx -y linkedin-profile-mcp
# 2 — ask your agent for something these tools do
# get_guidelines, lint_field, review_headline and 3 more
LinkedIn Profile costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
RBAll 1 server
ruthvik-bandari1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts LinkedIn Profile as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user ruthvik-bandari-linkedin-profile-mcp '--' npx -y linkedin-profile-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
6 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
Return LinkedIn profile writing guidelines based on how technical recruiters search. Use this before drafting or rewriting a section; it is reference text and does not check anything (use lint_field or the review_* tools to check text). Returns plain text: rules, character limits and examples for…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| section | string | no | Which section to return, e.g. 'headline', 'about', 'experience', 'open_to_work', 'skills', 'checklist'. Omit to get every section in one text. |
Check the text of one LinkedIn field (or a post, comment or connection note) before the user pastes it. Use for any single field; for a headline or an Experience entry prefer review_headline or review_experience, which run these checks plus structure checks. Checks the character limit, em and en…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| field | string | yes | Which field the text is for; this sets the limit. headline 220, about 2600, experience_title 100, experience_description 2000, featured_title ~45, featured_description ~200, post 3000, comment 1250, c |
| text | string | yes | The exact text of the field, as it would be pasted into LinkedIn |
Review a LinkedIn headline against recruiter-search rules. Use this for headlines instead of lint_field; use review_profile to check a whole profile at once. Runs pass/fail checks: not a vague label ('Student at X', 'Aspiring'), target role in the first 60 characters, at least 150 of 220…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| headline | string | yes | The full headline text, up to 220 characters |
| target_role | string | no | The job title the person wants, e.g. 'AI Engineer'. Enables the 'role in the first 60 characters' check. |
| keywords | array | no | Must-have terms from target job postings, e.g. ['Python', 'RAG']. Passes when at least 2 appear. Get them from keyword_coverage. |
Review the description of one LinkedIn Experience entry (one role). Use it once per role; use review_profile to check every role together with the rest of the profile. Pass/fail checks: at least 300 characters, an opening line that explains the role on its own, 3 to 7 bullets, most bullets with a…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| description | string | yes | The full description text of one role, up to 2,000 characters. Bullets may start with '•', '-' or '*'. |
| keywords | array | no | Target terms from job postings. Passes when at least a third of them appear. Get them from keyword_coverage. |
Compare a profile with target job postings. Use it first when the user has job descriptions: it finds single words and two-word phrases that recur across the postings (in at least 2 postings when 3 or more are given) and reports which ones appear in the profile. Feed the results to review_headline…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| profile_text | string | yes | Headline, About, Experience and Skills pasted together as plain text |
| job_descriptions | array | yes | Full text of 1 to 10 target job postings, one string per posting |
| top | integer | no | How many recurring terms to report, 5 to 80. Default 30. |
Review a whole LinkedIn profile in one call. Use it for a first full review; then use review_headline, review_experience or lint_field on single sections while rewriting. Split the user's pasted profile (for example the text of LinkedIn's 'Save to PDF') into the fields below. Runs review_headline,…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| target_role | string | no | The job title the person wants, e.g. 'Data Scientist' |
| headline | string | yes | The headline text |
| about | string | no | The About section text |
| location | string | no | The location shown on the profile, e.g. 'Boston, MA'. A country alone fails the checklist. |
| experiences | array | no | Each Experience entry, most recent first |
| skills | array | no | Every listed skill, one per item |
| featured_count | integer | no | How many items are in the Featured section |
| connections | integer | no | Number of connections (use 500 for '500+') |
| job_descriptions | array | no | Full text of 1 to 10 target job postings, one string per posting |
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install LinkedIn Profile or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 99 / 100
Release 0.1.1 · scanned 9 Nov 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score99
Findings0 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationrepo
Surface digest1282d1507adf3116d18b6d33ee23c69daf9426dc6327e4744d0865062c05f817
Score vectorthreat 100 → client 99
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (6 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| get_guidelines | no tags | |
| lint_field | no tags | |
| review_headline | no tags | |
| review_experience | no tags | |
| keyword_coverage | no tags | |
| review_profile | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest1282d1507adf3116
Scanned2026-11-09
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.1.1. Pin a release below and the command asks for exactly that one.
0.1.1
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish LinkedIn Profile can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.