NEW · MODEL CONTEXT PROTOCOL
Give your AI deep software expertise, instantly.
EMU is an MCP server that feeds Claude Code, CoWork, and GPT continuously updated, software-specific context — pulled from product and API docs, solution architecture best practices, and the forums where real problems get solved.
claude-code · emu mcp connected
› How do I configure webhooks in the latest API?
Pulling current context via EMU…
✓ Product & API docs · indexed 2m ago
✓ Solution architecture best practices
✓ 3 relevant forum threads · this week
Here's the up-to-date setup, grounded in the latest release — no deprecated patterns.
HOW IT WORKS
Software expertise in three steps.
EMU plugs into the AI tools you already use and keeps them fluent in the software you build on.
01
Connect EMU
Add EMU to Claude Code, CoWork, or any MCP-compatible client in one step. No fine-tuning, no data pipeline, no setup.
02
EMU stays current
EMU continuously indexes product and API documentation, solution architecture best practices, and active forum threads — so context never goes stale.
03
Build with expert context
Your agent answers and builds with deep, software-specific expertise, grounded in real, current sources instead of stale training data.
SEE IT ON YOUR STACK
Generic AI vs. Claude + EMU.
Pick the software you build on and watch the same prompt go from a plausible-sounding guess to a current, expert answer.
Bulk-update 50,000 Account records from an Apex trigger.
claude · no context
Loop through the records and call `update acc;` inside the for loop so every change is saved.
Hits the 150 DML-statement governor limit immediately
Ignores the 10,000-row per-transaction DML cap
No bulkification — fails the moment a data load fires the trigger
claude · emu mcp connected
Collect rows into a List<Account> and issue one bulk `update`; for 50k records move the work into a Database.Batchable class with a 200-record scope.
Respects the current 10,000-row DML and 150-statement limits
Bulkified trigger pattern from the live Apex Developer Guide
Batch + Queueable guidance for volumes above one transaction
+58%
Architecture accuracy
Correct, current patterns instead of deprecated guesses and hallucinated APIs.
−71%
Token cost
No blind web crawling — EMU serves the exact context your model needs.
9× faster
Time to context
Expertise is pre-indexed and ready on the very first request.
0 risk
Injection-safe
EMU vets every source, so no poisoned docs ever reach your model.
INTEGRATIONS
Works with your MCP client.
EMU speaks the Model Context Protocol, so it drops into any MCP-compatible tool — no lock-in, no rebuild.
Claude Code
Give Claude Code current, software-specific context as it reads, writes, and ships code.
CoWork
Bring deep product and API expertise into every CoWork session, automatically.
GPT
Ground GPT in live docs, best practices, and forums instead of stale training data.
BEFORE VS. AFTER
Before EMU vs. with EMU.
The difference between an assistant that guesses and one that knows your software.
Without EMU
Generic answers from stale training data
Hallucinated APIs and deprecated patterns
Hours lost cross-checking docs and threads
Re-explaining your stack every session
With EMU
Current, software-specific context on demand
Grounded in live docs, best practices, and forums
Answers that reflect the latest releases
Expertise available instantly, every session
USE CASES
What you can build with EMU.
Deep, up-to-date software context turns everyday AI tools into genuine domain experts.
Onboard to a new SDK in minutes
Drop into an unfamiliar library and let your agent answer with the current docs and real-world usage patterns.
Ship integrations against the latest API
Build against today's endpoints and schemas — not the version your model was trained on months ago.
Debug with current community knowledge
Surface fixes and gotchas from active forum threads the moment they appear, not after they reach training data.
Enforce architecture best practices
Keep solutions aligned to proven patterns with best-practice context baked into every answer.
BY FERRIS AI
Why we built EMU.
EMU is a standalone product from Ferris AI — built from everything we've learned helping delivery teams ship complex software faster.
We live in delivery
Ferris helps professional services firms and systems integrators turn complex requirements into SOWs, BRDs, and shipped software. We watch delivery teams lean on AI coding tools every day.
We saw the gap
Those tools are brilliant at code, but blind to the specific software you build on — guessing at deprecated APIs and stale patterns because their context ends at training day.
So we built EMU
EMU is our answer: an MCP server that feeds your AI current, software-specific expertise from real docs, best practices, and forums — so delivery teams ship right the first time.
Learn about Ferris AI
REQUEST SOFTWARE
Don't see your software? Add it.
Tell us what you build on and we'll index its docs, APIs, and forums into EMU. We'll alert you the moment it's live.
FAQ
Frequently asked questions.
Explore common answers about Ferris, our AI workflows, data security, and what makes us enterprise-ready. Have a specific technical question? Bring it to your demo.
What is EMU?
EMU is a Model Context Protocol (MCP) server that gives AI tools deep, software-specific expertise. It continuously indexes product and API documentation, solution architecture best practices, and online developer forums, then serves that context to your AI on demand.
Which tools does EMU work with?
Any MCP-compatible client, including Claude Code, CoWork, and GPT. If your tool speaks the Model Context Protocol, EMU works with it — no lock-in.
How does EMU stay up to date?
EMU continuously re-indexes its sources, so your AI works with the latest releases, APIs, and community knowledge instead of stale training data.
Where does EMU's context come from?
Online product and API documentation, solution architecture best practices, and online developer forums — the same places expert engineers look.
Do I need to fine-tune or train a model?
No. EMU delivers context at request time over MCP. There's no fine-tuning, no model training, and no data pipeline to maintain.
How do I get started?
Connect EMU to your MCP client and start building. Book a demo and we'll get you set up.
EARLY ACCESS
Get early access to EMU.
Tell us a little about your setup and we'll get you connected. We're onboarding teams in waves — leave your details and we'll reach out with access.
Give your AI instant software expertise.
Connect EMU to your MCP client and let Claude Code, CoWork, and GPT work with the latest docs, best practices, and forum knowledge — automatically.