Engineering context
for AI agents

Efiros pre-indexes every PR, review, and merge your team ever made — so your AI agent answers in under a second what GitHub's API can't answer at all.

Efiros setup
① connect repository ② connect Claude ③ ask questions
Claude + Efiros MCP
Claude + Efiros MCP
① connect repository ② connect Claude ③ ask questions
  • Pre-indexed memory

    Efiros imports and indexes your entire Git history — years of PRs, reviews, and merges queryable in milliseconds.

  • Answers inside your AI agent

    Ask what's blocked, who's overloaded, or what to review first — and get real answers directly inside your AI workflow.

  • Built for real engineering teams

    Self-hosted MCP server with read-only metadata access. No employee monitoring. Your data stays private.

  • No rate limits,
    ever

    Efiros answers from your local index, never GitHub's throttled API — and gets smarter every month you run it.

See the difference

Before Efiros

You're shipping more code. You're not shipping faster.

A PR has been open for 5 days. Nobody noticed until the release slipped

One engineer reviews most of the code. They're close to burnout. Your agent keeps assigning them more

AI tripled your PR volume. Your merge time got worse

Native MCP servers weren't built for analytics — rate limits, timeouts, and no history make real engineering queries impossible

With Efiros

Your agent sees what your team sees

"What should I review first?" — shows the PR blocking delivery right now

"Is anyone blocked?" — finds work with no reviewers assigned

"Can we ship this week?" — checks open PRs, review progress, and blockers instantly

All from your git history. No surveys. No standups. Just answers inside your AI tools

Code is cheap now.
Trust isn't.

Agents made writing code nearly free. The question that matters is no longer «how much did we ship?» — it's «how much of it survived?»

Efiros tracks survival rate: the share of merged work that wasn't reverted, hotfixed, or reopened within two weeks. By team, repo, and week — computed from your Git history, visible to your whole team, gameable by no one.

How it works

Under 5 minutes. No credit card.
No sales call.

01

npx efiros connect

Read-only token, GitHub or GitLab. One command, no installer.

02

Watch it ingest

«indexed 4,012 PRs…» — years of history in minutes.

03

Inside Claude, Cursor, Copilot

Your agent now remembers everything your team ever shipped.

Ask your agent: «Who usually reviews auth changes?»

With GitHub MCP
The agent crawls thousands of PRs through the live API — two requests per PR — and hits the 5,000 requests/hour rate limit long before it finds the answer.
× error: API rate limit exceeded
With Efiros
«Alex — 12 of the last 15 auth PRs, median response 3h, current load: low.»
< 1s · every PR, review, and merge already indexed

GitHub MCP gives your agent access.
Efiros gives it memory.

Questions your agent
can answer

"What should I review first?"

Efiros ranks your review queue by wait time, blocker impact, ownership, and PR size. Your agent gives you the top 3 in one sentence

GitHub Connection Not connected Connect Sync Interval: Real-time Client ID: Gp4d23c444zx6y6q from GitHub
0

"Why is this PR stuck?"

Efiros traces the wait chain — who's blocking, since when, and why. Your agent answers with context from your full engineering history

"Who's overloaded this week?"

Spot review concentration and ownership bottlenecks before they slow the team down. No scoring. Just system-level signals

0Excellent (90+) 0Good (70-89) 0Fair (50-69) 0Poor (<50) Frederick Manning Vibe Score 89 Velocity 15 Quality 9 Reliability 9
DevelopmentTrends Week 1 Week 3 Week 5 Week 3 20 Commits 8 Pull requests 7 Reviews Review Speed 4.2h Last analyzed: 04/05/2026

«How much of what we shipped held up?»

Survival rate by team and week — and the Reopened / Reverted lines that drive it.

FAQ

  • How long does setup take?

    Under 5 minutes: one command, a read-only token, done. Demo mode needs zero setup.

  • What can my agent actually ask?

    Questions like: "What should I review first?" "Why is this PR stuck?" "Who's overloaded this week?" "Are we shipping faster than last month?" Efiros gives agents real answers using your Git history and workflow data.

  • Why not just use the native GitHub MCP?

    GitHub MCP is great for repository actions, but it queries the live API: rate limits, timeouts, no history. Efiros continuously imports and indexes your Git history, so historical and analytical questions are instant. Access vs. memory.

  • What data does Efiros analyze?

    Git workflow metadata only: PRs, reviews, commits, merges, reverts. No source code analysis by default.

  • Does Efiros score individual developers?

    No. System-level signals — queues, bottlenecks, review concentration, survival rate. Not an employee-monitoring tool, in any tier.

  • Can it run inside our infrastructure?

    Yes — the MCP server is self-hosted; the free tier never sends your data anywhere.

  • What's free?

    Self-hosted MCP for 1 repo — always free. Dashboard free up to 10 developers. Unlimited repos, cloud hosting, and team digests are paid.

Give your agent team's memory.

Free self-hosted MCP server for your engineering workflow. No credit card. No sales call.