Metaview
AI recruiting platform exposing interview transcripts, AI notes, scorecards, sourcing data, and sequences via an MCP (Model Context Protocol) server
Three ways to use Metaview
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with Metaview.
Call a Tool
Invoke a specific MCP tool by name with arguments matching the input schema returned from tools/list
Initialize MCP Session
Open a Metaview MCP session via JSON-RPC initialize; required before listing or calling tools
List Available Tools
Discover the catalog of MCP tools currently exposed by the Metaview server, with their input schemas
Get started automating Metaview
Ready-to-use workflows
Prompts using Metaview
Personal interviewer coaching notes every weekday in Slack
Every weekday at 8am, review yesterday's interviews and DM each interviewer a short coaching note with two wins and one thing to try next.
Draft Ashby interview scorecards from Metaview AI notes
Every hour during business hours, turn Metaview AI interview notes into drafted Ashby scorecards so interviewers only have to review, not write.
Weekly hiring funnel intelligence report
Every Monday at 9am, get an evidence-backed exec briefing on pipeline health, candidate signal, interviewer coverage, and comp intel.
Nightly Metaview interview archive to Google Sheets
Every night at 11pm, log the day's Metaview interviews to a Google Sheet so recruiting ops has a filterable, permanent record.
