NewMCP-native context for Codex & Claude Code

The context layer your AI coding agents are missing.

Mikie gives Codex, Claude Code, Cursor, and any MCP client compact, line-anchored code context — then measures the tokens, cost, and retries you save on every single turn.

Local-first · No source code stored · Works with your existing agents

mikie — context packet
0.00×
Fewer total tokens than raw on our accepted-patch suite
7.61M → 2.18M total tokens · 71.33% reduction
0 / 5
Accepted patches resolved — one more than raw
vs. raw 3 / 5 on the same 5-instance suite
0%
Lower cost per resolved patch vs raw
$0.90 vs $2.69 · GPT-5.5 standard pricing

Measured on a local 5-instance accepted-patch / SWE-style suite (2026-06-25). Promising engineering evidence, not a broad benchmark or production-ROI claim. Token savings are reported separately from quality.

Works with the agents you already use

Claude Code
Codex CLI
Codex IDE
Cursor
GitHub Copilot
Windsurf
Cline
Zed
Any MCP client
How it works

Context that closes the loop.

Mikie owns the full cycle — from ranking your repo to proving what each turn actually cost.

1

Rank

Index the repo locally and score every file against the prompt — exact paths, symbols, and tests first.

2

Pack

Build a compact, line-anchored context packet — just the spans that matter, never the whole repo.

3

Inject

Deliver the packet to Codex, Claude Code, or any MCP client before the model turn — no wasted discovery.

4

Measure

Record tokens, cost, cache hits, retries, and outcomes to the ledger — proof on every turn.

The platform

Three engines, one context OS.

A routing layer for your agents — not another wrapper. Rank and pack context, record every turn, and keep your claims honest.

Context Engine

Exact-path, line-anchored context — built locally

Rank thousands of files in milliseconds, select only the spans the task needs, and inject them before the model turn. No uploads, no whole-repo dumps.

build_context_packetrank_relevant_filesline anchorsexact-path match
Ranking
1,284 → 4 files
Packet
1,910 tokens
Latency
< 200 ms
Measurement Ledger

Every turn, recorded

Tokens, cache hits, retries, patches, and test outcomes — written to a durable ledger. Never your raw outputs.

  • input / output / cached tokens
  • tool calls & retry counts
  • patch accepted · tests passed
  • estimated cost saved
Claim Boundaries

Honesty, enforced by the system

Savings, accuracy, and retry reduction are separate gates. If the evidence isn't there, the claim stays blocked — automatically.

raw_semantic_winretry_reductionroimodel_agnostic
Waste Reports

See where the tokens go

Useful work vs. duplicate searches, broad scans avoided, and reruns caused by missing context — broken down per agent and repo.

useful tool callsduplicate searchesscans avoidedcost per task
Why it's different

More savings and more quality per token.

Mikie doesn't trade answer quality for a smaller prompt — the v2 hybrid resolved 4/5 patches vs raw's 3/5 while cutting total tokens 71.33%.

Token savings vs. quality per token

Top-right is better — high savings with high quality density.

0%20%40%60%80%0.00.51.01.52.0token savings →resolved patches / 1M tokens →Raw agent60% acc · 0% savedGitHub Copilot~58% acc · ~22% savedWindsurf~62% acc · ~34% savedCursor~66% acc · ~40% savedAugment~78% acc · ~30% savedMikie v160% acc · 65.8% savedMikie v280% acc · 71.33% saved
Mikie · measuredRaw baseline · measuredCompetitors · estimated

Mikie and raw-agent points measured 2026-06-25 on a local 5-instance accepted-patch suite. Competitor points are estimates from public documentation and published runs — not head-to-head measurements.

Raw vs Mikie v2 hybrid
MetricRawv2 hybrid
Total tokens7.61M2.18M
Commands run19539
Failed commands4911
Cost / resolved patch$2.69$0.90
Net total-token reduction
−71.33%
Trust & security

Built for teams that need proof, not promises.

Mikie is a measurement system first. The discipline that keeps our own claims honest is the same discipline we give you.

Local-first by default

Repos are indexed and packets are built on your machine. Nothing is uploaded to build context.

No raw outputs stored

The ledger records tokens, cost, retries, and outcomes — never your source code or model responses.

Evidence or it's blocked

Every savings claim traces to a measurement row. Unproven claims stay blocked, not inferred.

Stop wrestling with MCP setup. Start using Mikie.

Install Mikie and connect your coding client through secure remote MCP access with a guided setup.

Founding price $20 monthly · Codex, Claude Code, and generic MCP

Mikie — Line-anchored context for AI coding agents