# TextRazor — MCP server on mcp.ai
> Connect your TextRazor account and use 6 tools for artificial intelligence straight from your AI agent. Connect with your own API key. TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and sentiment detection.

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

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_textrazor?ms=1787296080000
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/textrazor/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/textrazor/<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/textrazor/skill.md
Postman collection (v2.1): https://mcp.ai/textrazor/postman.json

## Tools
- textrazor_account_info() — This tool retrieves comprehensive information about a TextRazor account, providing essential details about the account's status, usage, and limits. It returns an Account object containing properties s
- textrazor_classify_text(text: string, classifiers: string, cleanup_mode?: string, language_override?: string) — This tool will classify text into predefined categories using TextRazor's classification capabilities. It takes input text, optional cleanup mode and language, and returns a list of relevant categorie
- textrazor_custom_classifier_manager(limit?: integer, offset?: integer, operation: string, categories?: object[], category_id?: string, classifier_id: string) — This tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories.
- textrazor_dictionary_manager(entries?: object[], operation: string, dictionary_id?: string) — Manage custom entity dictionaries in TextRazor for enhanced named entity recognition. This tool enables you to create and manage dictionaries of domain-specific entities (e.g., product names, company 
- textrazor_extract_entities(text: string, cleanup_mode?: string, language_override?: string, entities_allow_overlap?: boolean, entities_filter_dbpedia_types?: string[], entities_filter_freebase_types?: string[]) — Extract named entities (people, places, companies, etc.) from text using TextRazor's entity extraction API. The tool will identify and classify named entities within the provided text, returning detai
- textrazor_text_razor_analyze_content(text: string, extractors?: string[], cleanup_mode?: string, language_override?: string, cleanup_use_metadata?: boolean, cleanup_return_cleaned?: boolean) — A comprehensive content analysis tool that combines multiple TextRazor extractors to perform a complete analysis of the input text. This action allows users to analyze text content with multiple extra

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

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