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Anthropic says Claude helped trace the origin of NIST's mysterious ECDSA seeds16/10/26 · Anthropic|Reflection AI unveils Beam, a 501-billion-parameter open model16/10/26 · Reflection AI|Meta releases Muse Spark Open, a mixture-of-experts model built for local Mac Studio inference15/10/26 · Meta|Meta releases Muse Spark Open, an open-weight multimodal model15/10/26 · Meta|Google DeepMind outlines safety measures behind Gemini 4 Argon13/10/26 · Google DeepMind|Tev-Gym: A Training Recipe to Fix Sparse Rewards in Long-Horizon Agents13/10/26|Google DeepMind references Gemini 4, code-named Argon13/10/26 · Google DeepMind|Google DeepMind unveils Gemini 4 Argon, a robotics-focused variant13/10/26 · Google DeepMind|Character.AI files for Chapter 11 bankruptcy, sells assets to Disney13/10/26 · Character.AI|Study Shows AI Models Can Provably Conceal Arbitrary Capabilities13/10/26|A Goodfire researcher reignites debate over how to understand neural networks19/10/26 · Goodfire|CERN and Mistral AI sign statement of intent for scientific AI partnership19/10/26 · Mistral AI|Anthropic says Claude helped trace the origin of NIST's mysterious ECDSA seeds16/10/26 · Anthropic|Reflection AI unveils Beam, a 501-billion-parameter open model16/10/26 · Reflection AI|Meta releases Muse Spark Open, a mixture-of-experts model built for local Mac Studio inference15/10/26 · Meta|Meta releases Muse Spark Open, an open-weight multimodal model15/10/26 · Meta|Google DeepMind outlines safety measures behind Gemini 4 Argon13/10/26 · Google DeepMind|Tev-Gym: A Training Recipe to Fix Sparse Rewards in Long-Horizon Agents13/10/26|Google DeepMind references Gemini 4, code-named Argon13/10/26 · Google DeepMind|Google DeepMind unveils Gemini 4 Argon, a robotics-focused variant13/10/26 · Google DeepMind|Character.AI files for Chapter 11 bankruptcy, sells assets to Disney13/10/26 · Character.AI|Study Shows AI Models Can Provably Conceal Arbitrary Capabilities13/10/26|A Goodfire researcher reignites debate over how to understand neural networks19/10/26 · Goodfire|CERN and Mistral AI sign statement of intent for scientific AI partnership19/10/26 · Mistral AI|

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
Open the connector settings of your AI client (Claude Desktop, or any MCP-compatible client).
2
Add a remote (HTTP) connector and paste the server address above.
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