Agent-ready tools
Use structured job-discovery tools instead of teaching an agent how to scrape search pages.
JOBS MCP SERVER
Give your AI agent access to live, verifiable jobs.
Praxy Jobs exposes the same normalized job corpus through Model Context Protocol, letting compatible AI clients discover roles with natural-language intent while preserving source provenance and direct employer links.
What your product gets
Current job context
Ground recommendations in live records rather than a model's training data.
Verifiable results
Return the employer source and direct application URL with every match.
From first request to production sync
01
Connect
Add the hosted MCP endpoint to a compatible client.
https://praxyjobs.com/mcp02
Ask
Describe the role, location, work mode, and other constraints in natural language.
find_jobs({...})03
Act
Use structured results in an agent workflow or send the user to the direct employer page.
result.urlBuilt for real product workflows
- ✓AI career agents
- ✓Recruiting copilots
- ✓Research assistants
- ✓Workflow automation
Frequently asked questions
What is a jobs MCP server?
It is a Model Context Protocol server that exposes job-search capabilities as structured tools compatible AI clients can call.
Does the MCP server use the same data as the REST API?
Yes. Both interfaces use the same source-backed Praxy Jobs index.
Which clients can connect?
Any client supporting remote Model Context Protocol servers can connect, subject to its authentication and transport support.
Why use MCP instead of embedding API calls in prompts?
MCP gives agents a defined tool contract, structured arguments, and structured results rather than relying on prompt-only conventions.
Build on source-verified job data.
Start at 100,000 jobs returned per month. Upgrade when your product grows.