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Corporate America increasingly turns to open-source AI04/09/26|Study finds Google's AI Mode surfaces pricier products than classic search04/09/26 · Google|Study measures how coding agents pick third-party tools03/09/26|OpenAI's GPT-6 Astra sets new state-of-the-art on ARC-AGI-303/09/26 · OpenAI|ESPO: A Prompt Optimization Method That Beats GEPA With Shorter, More Stable Prompts03/09/26|"Last Translation Benchmark": a large-scale collaborative effort for a definitive MT benchmark03/09/26|NVIDIA pushes local AI at IFA 2026 with RTX Spark PCs and a personal inference router03/09/26 · NVIDIA|Google DeepMind unveils WeatherNext 3, its most accurate weather AI model yet03/09/26 · Google DeepMind|OpenAI Launches $1B Daybreak Program for Frontline Cybersecurity Defenders03/09/26 · OpenAI|Hcompany releases NeoMME, a compact multimodal-native encoder for retrieval03/09/26 · Hcompany|Playco cuts manual fixes by 50% using GPT-6 Astra for prototyping03/09/26 · OpenAI|Legora reviews 41 financial documents in minutes with GPT-6 Astra03/09/26 · OpenAI|Corporate America increasingly turns to open-source AI04/09/26|Study finds Google's AI Mode surfaces pricier products than classic search04/09/26 · Google|Study measures how coding agents pick third-party tools03/09/26|OpenAI's GPT-6 Astra sets new state-of-the-art on ARC-AGI-303/09/26 · OpenAI|ESPO: A Prompt Optimization Method That Beats GEPA With Shorter, More Stable Prompts03/09/26|"Last Translation Benchmark": a large-scale collaborative effort for a definitive MT benchmark03/09/26|NVIDIA pushes local AI at IFA 2026 with RTX Spark PCs and a personal inference router03/09/26 · NVIDIA|Google DeepMind unveils WeatherNext 3, its most accurate weather AI model yet03/09/26 · Google DeepMind|OpenAI Launches $1B Daybreak Program for Frontline Cybersecurity Defenders03/09/26 · OpenAI|Hcompany releases NeoMME, a compact multimodal-native encoder for retrieval03/09/26 · Hcompany|Playco cuts manual fixes by 50% using GPT-6 Astra for prototyping03/09/26 · OpenAI|Legora reviews 41 financial documents in minutes with GPT-6 Astra03/09/26 · OpenAI|

Official MCP server

Plug model comparison straight into your AI

The nAIvigate MCP server lets Claude, ChatGPT or any compatible agent query our comparison data in real time — pricing, benchmarks, sovereignty. Public, free, read-only.

Server address

https://naivigate.com/mcp

What your AI will be able to do

search_models

Filter models by criteria — open source, generalist, specialty, country, free tier.

"List open source French models"

get_model

Return a model's full profile: pricing, context, benchmarks, GDPR, cutoff date.

"Give me the Claude Opus 4.8 profile"

compare_models

Compare several models side by side on price, context and benchmarks.

"Compare GPT-5 and Mistral Large 3"

cheapest_for

Compute the cheapest models for a given monthly token volume.

"Cheapest for 50M input, 10M output tokens?"

get_podium

Return the current ranking of top models, by Arena Elo.

"Show me the top 5 models"

How to add it

  1. 1

    Open the connector settings of your AI client (Claude Desktop, or any MCP-compatible client).

  2. 2

    Add a remote (HTTP) connector and paste the server address above.

  3. 3

    Ask your AI to compare models. It will use our up-to-date, sourced data.

Read-only: the server only exposes public comparison data. No personal information, no writes. Responses cite naivigate.com as the source.

Want an MCP server plugged into your own data?

This server is an example of what nAIvigate Studio builds for companies: connecting your tools and databases to AI, cleanly and compliantly. A Radar IA diagnostic scopes the first use case.

Discover the Studio