Nia: 10x the context of your coding agent
TL;DR
Stop hand‑feeding links and developer context to your agent. **Nia** is an MCP server that can index entire codebases & documentation sites, perform deep research, and more so agents like Cursor, Continue, and Cline “just know” the right answer.
_In internal evals we improved Cursor’s performance by 27 % once **Nia** had indexed external docs models couldn’t get from their training data or searching the web._
The Problem
- Coding agents are great with local files but fail when it comes to external context enrichment.
- Agents are finally great at codegen, terrible at retrieving the right context.
- You still copy‑paste GitHub and web links one‑by‑one and pray the model scrolls far enough.
Context—not generation—is now the bottleneck.
What Nia does
- Indexes multiple repos & entire docs sites at once via an MCP server.
- Works as MCP server and can be used inside Cursor, Cline, Continue etc.
- Deep‑Research Agent: ask “Compare LangChain, Llama Index, Haystack,” get an auto‑generated table (pros, cons, best pick) _and_ have all three repos pre‑indexed for later use.
Get Started in <3 minutes
1. Grab your API key at **https://app.trynia.ai/**
2. Follow instructions at **https://docs.trynia.ai/integrations/nia-mcp**
3. Enjoy.
https://youtu.be/5019k3Bi8Wo?si=ERmnmo01IJ3DQfrv
My ask
1. Try Nia today and tell us what context your agent still misses.
2. BOOK A FREE CALL → **https://calendly.com/arlanrakh/nia-ai-demo**
👉 Contact me at [arlan@nozomio.com](mailto:arlan@nozomio.com)
My story
- I’m Arlan, solo‑founder immigrant from Kazakhstan.
- Launched my first edtech startup at 15.
- I got kicked out of my math classes for taking investor calls, so I dropped out of high school to move to London where I raised my pre-seed in couple days.
- I cold-emailed my way into research @ Stanford when I was 16, and worked closely with a Georgia Tech professor on a book called Cobra, a powerful interactive tool for finding defects or suspicious patterns in source code.
