# Rosette Text Analytics — MCP server on mcp.ai
> Connect your Rosette Text Analytics account and use 3 tools for artificial intelligence straight from your AI agent. Connect with your own API key. Rosette Text Analytics is a platform that uses natural language processing, statistical modeling, and machine learning to analyze unstructured and semi-structured text across 364 language-encoding-script combinations, revealing valuable information and actionable data.

By: mcp.ai · official
Page: https://mcp.ai/rosette_text_analytics

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_rosette_text_analytics?ms=1787293560000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/rosette_text_analytics/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/rosette_text_analytics/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/rosette_text_analytics/skill.md
Postman collection (v2.1): https://mcp.ai/rosette_text_analytics/postman.json

## Tools
- rosette_text_analytics_address_similarity(address1: object, address2: object) — Compares two addresses and returns a similarity score. Addresses can be provided as single strings or as structured objects. The tool is optimized for English, Simplified Chinese, and Traditional Chin
- rosette_text_analytics_language_identification(content?: string, contentUri?: string, multilingual?: boolean, koreanDialects?: boolean) — This tool identifies the natural language of a given text. It takes a string of text as input and returns the detected language along with a confidence score. Optional parameters include specifying a 
- rosette_text_analytics_name_similarity(name1: object, name2: object) — The 'Name Similarity' tool compares two entity names (Person, Location, or Organization) and returns a similarity score between 0 and 1 to indicate if the names are similar. It is useful for tasks suc

## Example prompts
- "What can I do in Rosette Text Analytics?"
- "Show me a summary of my Rosette Text Analytics account"

## Links
Docs: https://mcp.ai/docs/mcps/rosette_text_analytics
Website: https://mcp.ai/mcps/rosette_text_analytics