Publisher MCP server

Tools: 14

Featrix

Talk to your data through ChatGPT and Claude — connect Featrix as an MCP server.

This listing identifies a third-party MCP server. MCPBundles is not affiliated with, sponsored by, or endorsed by the service or its operator unless stated on this page.

https://mcp.featrix.com/

MCP

MCPBundles

Remote MCP URL

https://mcp.featrix.com/api/mcp

This server may ask you to sign in when your AI client connects.

Last probed Nov 3, 2026 · mcp.featrix.com

14tools discovered

For AI agents — MCPBundles Directory API
For MCP client apps (human connect):
MCP connect URL: https://mcp.featrix.com/api/mcp
Skill page: https://www.mcpbundles.com/skills/featrix-mcp-3cf18da2a1

Explore capabilities (14)

write 1

other 11

Train

Other capabilities

List Models

read

list_models

List all trained foundational models. Shows status, dimensions, and training metrics.

Add to workspace

Tool inventory (14 tools)

List Models — List all trained foundational models. Shows status, dimensions, and training metrics.
Train Foundation (No Labels Needed) — Train a self-supervised foundational model on your data. No labels or target column needed. The model learns relationships between ALL columns. After training, predict any column, fill in missing values, find similar records.
Check Training Status — Check training progress for a foundational model.
Train Predictor for Target — Train a specialized predictor for a specific target column. Creates a fine-tuned classifier or regressor on top of an existing foundational model.
Predict Any Column — Predict a target column for a given record. Works on ANY column. Uses a trained predictor if available, otherwise instant probe predictions.
Fill In Missing Values — Fill in missing or unknown fields in a partial record. Give me what you know, leave the rest as null. Greedy mode fills one at a time for better accuracy.
Batch Predict — Predict a target column for multiple records at once.
Find Similar Records — Find records most similar to a given record using embedding-space nearest neighbors.
Compare What-If Scenarios — Change fields and see how predictions change. Great for "What if this customer upgraded to Pro?"
Encode Records — Transform records into embedding vectors for visualization or clustering.
Explain Prediction

Get your MCP into directories

A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.

Directory coverage for brands

Frequently Asked Questions

What is the Featrix MCP server?

Talk to your data through ChatGPT and Claude — connect Featrix as an MCP server.

How do I connect Featrix to my AI agent?

Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.

How many tools does Featrix provide?

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— Show which features had the biggest impact on a prediction using leave-one-out ablation.

Describe Model — Show what the model learned: columns, types, quality, capabilities.

Suggest Questions — Suggest interesting questions you could ask about your data.

Send Feedback — Report the actual outcome for a previous prediction to improve the model.

Schemas and invoke metadata: Directory API

MCPBundles probed 14 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.

What authentication does Featrix require?

Featrix may require signing in to the provider before tools can run. Connect through MCPBundles or your MCP client and complete any provider login when prompted.

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