Model Context Protocol (MCP) server for Apollo.io API integration
Nothing to run from here
Career Change Signal Engine 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.
93/100
trust score
7
downloads a day
local
runs on your machine
249
downloads in 30d
What it does
Track the people on your watch list and get only what changed: who left, where they landed, who replaced them, and who started after a role closed.
All of the work runs on Mamba Labs actors on Apify. This server is a thin client: it starts the run, waits for it, and hands back the results. Add it to Claude, Cursor, or any MCP client with one npx line and your own APIFY_TOKEN.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --env 'APIFY_TOKEN=${APIFY_TOKEN}' --transport stdio career-change-signal-engine-mcp '--' npx -y @mambalabsdev/mcp-career-change-signal-engine
# 2 — ask your agent for something these tools do
# watch_career_changes
It needs APIFY_TOKEN: this reads it from your environment, so export it first.
Career Change Signal Engine costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publisher
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Career Change Signal Engine as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. Claude Code reads APIFY_TOKEN (Apify API token from https://console.apify.com/account/integrations) from your environment each time it starts the server, so the value stays out of its config: export it in your shell profile (macOS, Linux), or run setx APIFY_TOKEN … and open a new terminal (Windows). The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user --env 'APIFY_TOKEN=${APIFY_TOKEN}' --transport stdio career-change-signal-engine-mcp '--' npx -y @mambalabsdev/mcp-career-change-signal-engineReconnect, 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 asks of you
It reaches a system of yours, so it needs your own credential rather than the publisher’s: APIFY_TOKEN — Apify API token from https://console.apify.com/account/integrations. You set it in your own client’s config, on your machine — this marketplace never holds it.
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
1 tool, 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.
Read a watch list of contacts and return only what changed since the last run: who left, who landed where, who replaced them, and who started after a role closed. Each row carries evidence, a source date, a segment, a first line draft, and Slack, HubSpot, HeyReach, and Instantly payloads. Pass…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| people | array | yes | Your watch list, one object per person: person_name, profile_url (optional), company_domain, company_name, title, work_email, relationship (prospect, mgl, deal_contact, customer_champion), external_id |
| watch_list_id | string | no | Names the list. State is kept per watch list id when state_source is actor. |
| state_source | string | no | actor: the engine keeps state between runs in a named store. caller: you send last_reading per person and keep state yourself. |
| read_mode | string | no | stored_first: your known_history first, then your keys. live_only: ignore known_history. stored_only: only known_history, no key calls. |
| first_run_mode | string | no | report: the first run returns every change it finds. baseline: the first run stores state and returns nothing, charging only contact_checked. |
| max_people_per_run | integer | no | A list longer than this fails the run before any read or charge. Default 150, at most 1,000. |
| providerKeys | object | no | Your own keys: serper or serpapi (web search), prospeo, bounceban (verifier), findymail, exa. Never written to state, output, logs, or the webhook. Your own key, sent as a run input; never stored by t |
| linkedin_reader_dataset_id | string | no | Optional: the dataset id of a Proofed LinkedIn reader run on the same Apify account. Rows join to people by profile URL. |
| replies | array | no | Optional reply texts: external_id or work_email or profile_url, text, received_at, channel, is_auto_reply. Text is classified and dropped; only its sha1 is kept. |
| bounces | array | no | Optional bounces: work_email, bounce_type, smtp_code, smtp_text, bounced_at. |
| posting_changes | array | no | Optional Account Hiring Watch rows. A closed posting starts a new hire search at that company. |
| suppression | object | no | emails, profile_urls, opted_out_emails, opted_out_profile_urls, company_domains, company_names. Suppressed people are dropped before the read and cost nothing. |
| icp_tiers | object | no | Optional map of company domain to tier, shown on landed rows. Never blocks a row. |
| features | object | no | Switches: replacement, closed_posting, contact_data, first_line, icp, include_promotions. Defaults on except include_promotions. |
| sender_context | string | no | Optional topic phrase for the first line draft, for example: content production at scale. |
| max_replacement_candidates | integer | no | Candidates proposed per leaver. A person confirms each. |
| max_spend_usd | integer | no | Stops the run before a charge that would cross it. |
| sweep_interval_days | integer | no | With state_source actor, a person read within this many days is skipped. |
| concurrency | integer | no | People read at once. |
| webhook_url | string | no | Optional: signed Standard Webhooks POST of up to 100 signal rows per request. |
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 Career Change Signal Engine or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 93 / 100
Release 1.0.1 · scanned 16 Oct 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 score93
Findings1 threat · 3 capability
Capabilityhigh
Coveragesource
Verificationrepo
Surface digestf3b4e7c16a0c784535457fd6c1e88370515c97ab6cb0c2bc12f8e64c17da66d1
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| 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 (1 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. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| watch_career_changes | external-sinksensitive-source | external-sink: parameter "webhook", declares readOnlyHint: false, openWorldHint: true, handler sends an HTTP POST (fetch(https://api.apify.com/v2/acts/${actorPath}/runs?timeout=${ACTOR_RUN_TIMEOUT_SECS}) at build/index.js:80; sensitive-source: parameter "secret" |
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.
flow-1
Tool "watch_career_changes" both reads sensitive data and can send it externally.
Supply chain and provenance
Integrityfirst-seen
Surface digestf3b4e7c16a0c7845
Scanned2026-10-16
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 1.0.1. Pin a release below and the command asks for exactly that one.
1.0.1
16 Oct 2026
latestNo release note was published with this version.
1.0.0
undated
- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
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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 Career Change Signal Engine can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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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.