Live data, no exports
MCP reads the current record every time — so the answer matches what the app would show you.
MCP use cases
Every action inside Fellix AI — reading records, generating documents, running approvals, closing offboarding — is available over MCP. Bring your own AI, wire in the tools you already run, and the workflow reads live records instead of a stale export.
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Performance
Every claim in the draft points at a real issue — shipped work, PR reviews, and cycle history pulled live.
Performance
Quota is the easy part. The agent pulls the deals behind the number — cycle length, expansion, forecast drift.
Employee experience
Time-off balances, policy answers, headcount lookups — answered from the live record in a DM, scoped to the asker.
Employee experience
Approved leave, work-from-home days, and public holidays posted to your channel, with coverage gaps flagged.
Employee experience
Mark a candidate hired and the record syncs — then an agent assigns tasks, schedules probation, and books the first 1:1.
Payroll and finance
The agent assembles the month’s pre-payroll ledger, diffs it against last month, and flags the outliers.
Payroll and finance
Reads each rep’s closed-won deals, applies the commission plan, and writes each payout in time for payroll.
Custom apps and analytics
Point your app builder at the Fellix AI MCP server and build the internal tool your people team actually wants.
Why MCP
Fellix AI holds the records — performance, time off and attendance, documents, the org graph — and MCP exposes every one of them, along with every action the people agents can take.
MCP reads the current record every time — so the answer matches what the app would show you.
Anything the AI can see, the calling user could already see. Every access is logged, every action is scoped.
Anything MCP-native connects. Fellix AI is the source of truth; you pick the surface.