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Query Moka recruiting data through read-only MCP tools for AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Moka MCP Server" yet — see the docs or source repo.
Use the Moka MCP to find candidate "Zhang San," including basic profile, current job application, and pipeline stage, then summarize in English.
Returns the candidate's relevant recruiting details with a concise summary.
Query Moka for job openings related to "Product Manager" and show the recruiting pipeline status for each role.
Lists matching jobs and shows their associated pipeline or stage information.
Use the Moka MCP to search the talent pool for candidates tagged with "backend" and organize the results into a list.
Returns matching talent pool records and formats them into a readable list.
Recruiting or business team members can ask AI to query jobs, candidates, and pipeline data in Moka to quickly understand current hiring progress. It is useful for daily follow-ups and status checks.
When specific people need to be found from candidate or talent pool records, this MCP tool lets AI perform read-only searches and summarize the results. It reduces the time spent manually browsing the system.
Analysts or managers can have AI read job and pipeline-related data from Moka and then produce summaries. It is suitable for basic reviews and information organization.
Based on the description, it lets AI assistants query candidate, job, pipeline, and talent pool data in the Moka recruitment system. The confirmed access mode is read-only.
No. The description explicitly says it uses read-only MCP tools for querying, not writing or editing.
The provided material does not include installation steps, runtime requirements, or authentication details. Please check the source repository for prerequisites.
Manage recruiting workflows in natural language, from screening to scored interview reports.
Manage job application materials, fetch job postings, and prepare for interviews.
Query employee data and perform HR database operations using natural language.
Calculate weighted candidate-job fit scores from skills and role requirements.
Search AI-native jobs, prepare applications, and practice interviews efficiently.
Turn CVs and projects into MCP tools for querying and job matching.