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Query recruitment data with AI to shortlist candidates and draft outreach.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Recruitment Pipeline" yet — see the docs or source repo.
Search the recruitment database for contractors with 5+ years of frontend experience, strong React and TypeScript skills, and availability to start remote work within two weeks.
A list of matching candidates with key details organized by relevance.
Using the existing recruitment database, create a shortlist of 5 candidates for a product design role and highlight each person’s relevant experience and fit.
A concise shortlist with reasons for selection, ready for review.
Draft an initial outreach email for each of the three shortlisted candidates in a professional, concise tone, and prepare the information needed to book an engagement call.
Ready-to-send outreach drafts plus organized details for scheduling the engagement.
Recruiters or business users can query a recruitment database in natural language instead of building complex filters manually. It is useful for quickly finding contractors by skills, experience, or availability.
When a team needs to narrow down candidates from an existing talent pool, this tool can help produce a shortlist. It fits the initial screening stage and improves selection speed.
After screening, users can draft outreach and move toward booking an engagement based on database results. It is useful for connecting search, selection, and follow-up communication into one workflow.
It turns a recruitment database into an AI-queryable workflow tool. It can be used to search contractors, build shortlists, draft outreach, and book engagements.
It is mainly intended for searching and screening talent from an existing recruitment database. It is especially useful for people who need to quickly find suitable contractors and follow up with outreach.
The provided information does not specify installation steps, runtime requirements, or whether any keys are needed. See the source repository for details.
Manage recruiting workflows in natural language, from screening to scored interview reports.
Handle job applications, role management, and applicant review through an AI agent.
Query employee data and perform HR database operations using natural language.
Manage job application materials, fetch job postings, and prepare for interviews.
Manage leads, pipeline stages, client interactions, and reports for freelance sales workflows.
Search jobs, track applications, and generate tailored resumes and cover letters.