Get access
Your AI agents are blind
Efiros gives them real-time access to your delivery system via MCP — so they stop generating work blindly and start operating on real system state
Connect in minutes, not days
Start using Efiros quickly with your existing Git setup — no migration, no setup overhead, no disruption
One source of truth for delivery
All delivery signals in one place — no guessing across tools, no fragmented view, no conflicting interpretations
AI aligned with your system
Your agents use the same data as your team — aligned decisions, no conflicts, and fewer unnecessary actions
Safe for real-world teams
Read-only access — designed for secure environments without exposing sensitive data
From blind output to system control
Problem
AI agents act without system awareness
Work sits for days. You don't know why — or how much AI-generated output is adding pressure
Slowdowns appear after they hit delivery — especially as AI keeps increasing volume
Work piles on the same people. AI keeps adding more. Everything depends on hidden bottlenecks
Leadership asks "are we faster with AI?" You don't have a clear answer
Solution
Turn your delivery system into an MCP endpoint
Efiros turns your Git workflow into a live MCP endpoint your AI agents query in real time
Agents see system load, queues, and bottlenecks before they create or assign work
Every decision is based on real system state — not assumptions or stale reports
All of this comes directly from your Git data — no surveys, no manual tracking, no process changes. Available for dashboards and AI agents via MCP
Features
MCP endpoint for AI agents
Expose your delivery system via one MCP endpoint. Agents query load, queues, and bottlenecks before creating work — instead of pushing more into already overloaded parts of the system
Real-time system state visibility
Your delivery data is always current. When an agent queries MCP, it sees the real system state — not stale reports. Decisions based on reality, not outdated snapshots
Load and bottleneck detection
Spot when work concentrates on a few people before it turns into a bottleneck. See who carries the load, who is overloaded, and where the system starts breaking
Cycle time and throughput
Track cycle time, deployment frequency, and throughput directly from your Git history. See how long work actually takes to ship — and whether delivery is improving or silently slowing down
What our users say
"We had dashboards and reports, but conversations about work were still based on opinion rather than shared understanding. Efiros helped us see where interaction patterns and coordination friction were actually occurring — not just that metrics changed, but why work felt stuck. That gave us a common language to address issues without finger-pointing and improve how teams collaborate over time."
"We used plenty of metrics, but none explained what was happening between teams and roles. Efiros revealed interaction patterns that explained where work piled up — in reviews, handoffs, or coordination — and helped us turn that into actionable insights. The shared clarity it created across engineering and leadership was a game changer for our planning conversations."
"What stood out was how Efiros transformed raw activity into meaningful signals about how teams actually interact. We could confidently share these interaction pattern insights with product, leadership, and risk stakeholders — without any suggestion of judging individual performance. This made cross-functional alignment feel grounded and constructive."
faQ
How long does setup take?
Setup usually takes a few minutes. Connect your GitHub or GitLab repository with read-only access and Efiros begins analyzing workflow data automatically. Most teams start seeing initial delivery insights shortly after connecting.
What kind of insights does Efiros provide?
Efiros shows how engineering work actually moves through your delivery workflow. You can see how long pull requests wait for review, where review queues form, how delivery speed changes over time, and where coordination delays begin slowing the team down.
What engineering metrics does Efiros track?
Efiros analyzes Git workflow data to track key engineering delivery metrics. These include pull request cycle time, review latency, deployment frequency, contributor workload distribution, and waiting time between commits, reviews, and merges. All metrics are calculated automatically from real Git activity, without manual reporting, surveys, or workflow changes.
What happens after we connect our repository?
Once connected, Efiros analyzes commits, pull requests, and review activity to understand how work flows through your engineering team. Within a short time you can see delivery speed, review patterns, and where work is getting stuck.
Will Efiros track individual developer productivity?
No. Efiros focuses on team-level delivery patterns such as review queues, cycle time, and coordination delays. It does not rank developers or score individual productivity. The goal is to understand how the delivery process behaves, not to monitor people.
Does Efiros analyze our source code?
No. Efiros analyzes Git workflow data such as commits, pull requests, and review activity. File contents and business logic are never accessed.
Is Efiros secure for engineering organizations?
Yes. Efiros connects with read-only access and analyzes Git workflow metadata only. It does not access source code and is designed for privacy-conscious engineering organizations.
