job_postings_intelligence

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 71 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/job-postings-intelligence.md

WHAT IT DOES

What job_postings_intelligence does on Mcp Knowledge

AI agents call job_postings_intelligence to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`mode`	string	Yes	Mode d'analyse : 'company_hiring' \| 'role_market' \| 'competitor_hiring_comparison'
`role`	string	—	Intitulé de poste à analyser (pour role_market, ex. 'data scientist', 'compliance officer')
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`company`	string	—	Nom de la société (pour company_hiring ou comme 1er concurrent)
`location`	string	—	Pays ou ville (ex. 'France', 'United States', 'London')
`competitors`	array	—	Liste de sociétés à comparer (pour competitor_hiring_comparison, min 2)
`period_days`	number	—	Fenêtre d'analyse en jours (défaut 30)

Parameters from the server's own tool schema.

RISK

Why job_postings_intelligence is rated Low

This tool only retrieves and aggregates publicly available job posting data for analysis. All three modes (company_hiring, role_market, competitor_hiring_comparison) are read-only intelligence/analytics operations with no side effects. Severity is low as it deals with public data and poses minimal misuse risk.

From the tool's definition Agrégation d'offres d'emploi publiques pour inférer les tendances de recrutement — aggregates public job postings to infer recruitment trends; modes include analysis, volume estimation, and comparison

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs job_postings_intelligence safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For job_postings_intelligence, this is the rule to start with:

job_postings_intelligence Allowed

job_postings_intelligence is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "job_postings_intelligence": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every job_postings_intelligence call is checked against it from then on.

FAQ

Questions about job_postings_intelligence

What does the job_postings_intelligence tool do? +

Agrégation d'offres d'emploi publiques pour inférer les tendances de recrutement. Trois modes : (1) company_hiring — analyse des postings d'une société : volume, fonctions (engineering/sales/marketing/ops/finance/hr), seniorité, géographie, croissance vs période précédente, signaux stratégiques inférés ; (2) role_market — volume marché global pour un rôle (open positions estimate, top employeurs, compétences demandées, médiane seniorité) ; (3) competitor_hiring_comparison — comparaison multi-sociétés (total postings, growth%, focus areas). Sources : Adzuna (ADZUNA_APP_ID/KEY env), RemoteOK (keyless), Himalayas (keyless), baseline statique 40 top employeurs. Usages : due diligence VC, intelligence compétitive, benchmarks RH, signaux pivots stratégiques. Cache 6h. SLA ≤15s. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does job_postings_intelligence accept? +

job_postings_intelligence accepts 7 parameters: mode, role, async, company, location, competitors, period_days. Required: mode. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on job_postings_intelligence? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for job_postings_intelligence: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.

What risk level is job_postings_intelligence? +

job_postings_intelligence is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit job_postings_intelligence? +

Yes. Add a rate_limit block to the job_postings_intelligence rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block job_postings_intelligence completely? +

Set action: deny in the PolicyLayer policy for job_postings_intelligence. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides job_postings_intelligence? +

job_postings_intelligence is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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