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nia

by nozomio-labs·69·Score 46

Nia is an MCP server providing AI agents with indexed documentation, code, and file search capabilities.

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Overview

Nia is a context-augmentation layer for AI agents, primarily designed for coding assistants. It provides up-to-date knowledge base capabilities by indexing and searching across GitHub repositories, documentation, PDFs, datasets, spreadsheets, Slack, Google Drive, and more. The service improves agent performance by 27% according to the developers. Nia can be used as both an API and an MCP server, offering features like semantic search, package search without indexing, document agents for deep research, and context sharing between agents.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Coding agents can search indexed documentation and codebases for up-to-date information
you:Research assistants can extract and analyze data from PDFs and documents
you:Development teams can share context and conversation state between different AI tools
you:What sources can Nia index?
you:How does Nia improve agent performance?

When to choose this

Choose Nia when you need comprehensive search capabilities across multiple knowledge sources for your AI agents, especially if you're already using Cursor, Claude Code, or other supported agents.

When NOT to choose this

Don't choose Nia if you need an open-source solution with no vendor lock-in, or if you require free usage beyond the very limited free tier (only 50 queries per month).

Tools this server exposes

12 tools extracted from the README
  • index

    Index various knowledge sources like GitHub repos, documentation sites, PDFs, and datasets.

  • search

    Perform semantic search across all indexed sources in under 5 seconds.

  • package_search

    Search 150M+ pre-indexed documents from PyPI, NPM, Crates.io, and Go modules.

  • document_agent

    Deploy an autonomous AI agent into any indexed PDF or document for deep research.

  • extract_data

    Extract structured data from PDFs into JSON using custom schemas.

  • tracer

    Search GitHub code without indexing using specialized sub-agents.

  • oracle_research

    Perform autonomous deep research across codebases and documentation.

  • share_context

    Save plans, discoveries, and conversation state between different agents.

  • index_gdrive

    Index and keep Google Drive content synced with continuous monitoring.

  • index_slack

    Index Slack workspaces and search conversations semantically.

  • create_connector

    Create connectors to integrate external sources like Notion or Confluence.

  • encrypt_sync

    Set up end-to-end encrypted sync for personal data like iMessage or WhatsApp.

Comparable tools

semantic-searchmcp-document-searchvector-search-mcppinecone-mcp

Installation

Quick Start

npx nia-wizard@latest

This wizard handles creating your account, generating an API key, and configuring your IDE automatically. Works with Cursor, VS Code, Claude Code, Windsurf, and 30+ other agents.

Claude Desktop Configuration

Add the following to your Claude Desktop config.json:

{
  "mcpServers": {
    "nia": {
      "command": "npx",
      "args": ["-y", "@nozomio-labs/nia-mcp"]
    }
  }
}

FAQ

What sources can Nia index?
Nia can index GitHub repositories, documentation sites, PDFs, datasets, spreadsheets, Slack workspaces, Google Drive, local folders, and more. It also supports pre-indexed package searches for PyPI, NPM, Crates.io, and Go modules.
How does Nia improve agent performance?
By providing agents with up-to-date, continuously monitored context from indexed sources instead of relying on outdated training data or web searches, Nia reduces hallucinations and improves accuracy by 27% according to the developers.

On Hacker News

Recent discussion from the developer community.

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Last updated · Auto-generated from public README + GitHub signals.