Keito ties Model Context Protocol server and tool-call usage to the client and project it served, ready for billing review and margin checks.
Cost review
MCP usage tracked
$5.1k
Active work
24
Reviewed
91%
Ready to bill
$18.4k
Time captured with context
mcp server cost tracking
Billing review complete
Client and project checked
Invoice evidence ready
Approved summary prepared
mcp server cost tracking needs more than a timer. The billing record has to keep client, project, approval, and invoice context together before the work reaches finance.
Record token fees, subscription usage, and compute costs against the client project they serve as the agents run — not reconstructed at billing time from company card statements.
Combine AI agent cost records with human billable hours in one review so the total delivery effort is visible before the invoice cycle starts.
Use reviewed human and agent cost data to prepare client summaries and invoice backup that reflect how the work was actually delivered.
MCP cost attribution
A Model Context Protocol server sits between an agent and the tools, APIs, and data sources it can reach, and a single agent task can fan out into many MCP tool calls — each with its own underlying model, API, or compute cost. The architecture is powerful, but it makes cost attribution hard: the spend is spread across servers and providers, and nothing in a standard MCP setup records which client engagement the calls belonged to. Keito adds that missing billing layer. MCP server and tool-call usage is captured as an expense against the client, project, and task that triggered it, the human work directing the agent is logged alongside, and a reviewer approves the combined record before it becomes invoice or chargeback evidence. Teams get client-level visibility into MCP cost as it accrues instead of an opaque sum after the fact, so they can price agent work on real unit cost, flag a workflow whose tool calls have quietly become unprofitable, and bill clients from a record that explains the value without exposing internal tool configuration.
Attribute MCP server and tool-call cost to a client and project
Combine agent tool usage with human review before billing
Flag MCP-heavy workflows that have turned unprofitable
Workflow fit
Keito keeps mcp server cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Attribute MCP server and tool-call cost to a client and project
Combine agent tool usage with human review before billing
Flag MCP-heavy workflows that have turned unprofitable
Keito tracks AI agent costs against the same client and project structure as human billable hours so agent spend is never invisible overhead. Agent sessions land as source-tagged time entries via the CLI, API, or Agent Skill, with LLM token costs logged as expenses.
See total delivery cost — human hours and AI agent costs together — by client and project so pricing, margins, and billing decisions reflect the real cost of work.
Keito flat pricing means adding AI tracking capacity to the billing workflow does not create a per-seat cost spike as more people and more agents are involved in delivery.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
Client-level MCP tool cost vs scattered provider spend
Keito keeps mcp server cost tracking tied to clients, projects, billable status, approvals, and billing summaries in one workspace.
Typical setups capture time in one tool and rebuild the billing explanation later from exports, comments, or spreadsheet cleanup.
Review before invoicing
Managers review entries before they become invoice evidence, so missing context is fixed internally rather than during a client dispute.
Raw timer exports usually reach finance before delivery leads have confirmed whether the work is billable, complete, or client-ready.
Predictable team pricing
Flat-rate plans let delivery staff, reviewers, contractors, and finance users participate without per-seat pricing friction.
Per-seat time trackers make teams choose between clean billing participation and controlling tool spend.
The best way to manage MCP server cost tracking is to capture work at source, attach it to the right client and project, review it before invoicing, and use the reviewed record as billing evidence. Keito is built around that workflow so time, approvals, and invoice context stay connected.
Yes. Keito helps with MCP server cost tracking by tracking work by client, project, task, person, billable status, and review state, then turning approved records into client-ready summaries. That makes the data useful for billing, profitability, and client reporting rather than just attendance.
Keito is different because it treats time as billing evidence, not just duration. A generic timer records how long something took; Keito records who did the work, where it belongs, whether it was reviewed, and how it should appear in client billing context.
Yes, MCP server cost tracking can support billing clients for AI work when agent sessions, token costs, compute spend, and human review time are attributed to the right client project. Keito keeps AI costs and human time together so teams can explain total delivery effort before invoicing.
A client-ready MCP server cost tracking report should include the client, project, task, contributor, billable status, approval state, and a concise explanation of the work completed. Keito keeps those details connected so reports can answer client questions without exposing internal delivery noise.
Solo includes 1 licensed user, unlimited AI agents, Mac desktop and iOS apps, Stripe payments, and standard CSV and Excel exports. Pro adds your team. Business adds integrations, planning, advanced reporting, and stronger controls.
1 licensed user
For independent consultants, freelancers, and small studios running work with AI agents.
Team collaboration
For teams that need shared workspaces, approvals, and team-level project visibility.
Advanced operations
For organizations that need integrations, planning, advanced reporting, and stronger controls.
AI agents do not require licenses on any plan.
Solo, Pro, and Business can use API keys for agent workflows.
Solo, Pro, and Business include standard CSV and Excel data export.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.