Server data from the Official MCP Registry
Classify a job title into department and seniority, and optionally verify the position.
About
Classify a job title into department and seniority, and optionally verify the position.
Security Report
This is a well-structured MCP server that acts as a thin client wrapper for the Apify Contact Classifier actor. It properly handles authentication via APIFY_TOKEN, appropriately validates and passes through user inputs, and includes good error handling with user-facing messages. The codebase is clean with no malicious patterns, hardcoded credentials, or dangerous operations. Minor observations about input validation and error handling do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: APIFY_TOKEN
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"com-mambabuilt-mcp-contact-classifier": {
"env": {
"APIFY_TOKEN": "your-apify-token-here"
},
"args": [
"-y",
"@mambalabsdev/mcp-contact-classifier"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Contact Classifier MCP Server
MCP server for the Mamba Labs Contact Classifier actor on Apify.
Give it a job title and it returns the department and the seniority level. Give it a name and a company domain too, and it also checks whether that person is still listed on their employer's own website. The classification is a deterministic rule table, so it needs no API key and returns the same answer for the same title every time.
Install
npx -y @mambalabsdev/mcp-contact-classifier
Claude Desktop
{
"mcpServers": {
"mamba-contact-classifier": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-contact-classifier"],
"env": { "APIFY_TOKEN": "your-apify-token" }
}
}
}
Get an Apify token at console.apify.com/account/integrations.
Tool
classify_contact
One contact in, one classified row out. Only the job title is required.
| Input | Type | Required | Notes |
|---|---|---|---|
job_title | string | yes | The contact's job title, exactly as you hold it. Classified by deterministic rules with no API key needed. |
full_name | string | no | Only needed for position verification. Classification works without it. This name is never sent to any language model. |
company_domain | string | no | Only needed for position verification. The company's website domain, with or without https. |
verify_position | boolean | no | Check whether the person is still listed on their employer's own website. Adds roughly 3 seconds and 9 requests per contact, and needs both the name and the domain. Default false. |
use_llm_fallback | boolean | no | Sends titles the rules cannot place to your own model, using the LLM_API_KEY secret environment variable on your own copy of the actor. Only the title is sent, never the person's name. Default false. |
llm_provider | enum | no | openai, anthropic or google. Which provider your LLM_API_KEY belongs to. Only read when the LLM fallback is on. Default openai. |
llm_model | string | no | Model id passed straight through to the provider. Only read when the LLM fallback is on. Default gpt-4o-mini. |
skipCache | enum | no | Set to true to ignore cached results and classify from scratch. Default false. |
Reading the output
21 flat snake_case fields, one row per contact. department is one of 12, seniority one of 12, and seniority_rank is 1 to 12 so a decision maker filter is a comparison rather than a list of strings. classification_rule names the rule that fired, which is what makes the decision auditable.
With no LLM_API_KEY set, titles the rules cannot place come back null. The row is still returned.
Billing
You are charged per contact classified, plus a small actor start fee. The deterministic classification calls no model and no third party API.
Pricing is on the actor's Apify page. Running this server consumes Apify credits.
What this server does and does not do
It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.
This actor does not discover people. The name and title come from you. It classifies a title and, optionally, checks a name against a page the employer published. To find people in the first place, use People Finder.
Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.
Source
The actor is on the Apify Store. This wrapper is MIT licensed.
Built by Mamba Labs
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.