MCP / AI and media
TextRazor MCP: AI workflows
TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and... Connect it to Claude, Codex, Cursor or any MCP client through one FlyMy.AI MCP.
$ YOUR NEXT RUN
Use TextRazor MCP in your assistant
Paste this prompt into Claude Code, Codex, Cursor or any agent. It reads the guide and helps you connect.
Read https://flymy.ai/skill.md and https://flymy.ai/mcp/textrazor.md. Help me connect TextRazor MCP to this assistant. Then help me run this task: Use TextRazor to account info. Ask me for the required inputs first and show the result.
What TextRazor MCP can do
13 actions in the FlyMy.AI catalog, the most used first. Your agent finds them through search_tools and calls the one the task needs.
| Action | What it does |
|---|---|
# TEXTRAZOR_ACCOUNT_INFO | This tool retrieves comprehensive information about a textrazor account, providing essential details about the account's status, usage, and limits. |
# TEXTRAZOR_CLASSIFY_TEXT | This tool will classify text into predefined categories using textrazor's classification capabilities. |
# TEXTRAZOR_CUSTOM_CLASSIFIER_MANAGER | This tool manages custom classifiers in textrazor, allowing users to create, update, and manage custom classification categories. |
# TEXTRAZOR_DEPENDENCY_TREES_ACTION | The dependencytreesaction analyzes the grammatical relationships between words in text by creating dependency trees. |
# TEXTRAZOR_DICTIONARY_MANAGER | The textrazor dictionary manager tool allows users to create, update, and manage custom entity dictionaries in textrazor. |
# TEXTRAZOR_EXTRACT_ENTAILMENTS | This tool extracts entailments from text using textrazor's api. |
# TEXTRAZOR_EXTRACT_ENTITIES | Extract named entities (people, places, companies, etc.) from text using textrazor's entity extraction api. |
# TEXTRAZOR_EXTRACT_PHRASES | The extractphrases action extracts meaningful phrases from input text using textrazor's phrase extraction capability. |
# TEXTRAZOR_EXTRACT_RELATIONS | This tool extracts grammatical relations between words in the text. |
# TEXTRAZOR_EXTRACT_WORD_SENSES | This tool performs word sense disambiguation on the input text by identifying the most likely meanings of words in context. |
# TEXTRAZOR_SPELLING_CORRECTION | This tool performs spelling correction on the provided text using textrazor's deep spelling correction system. |
# TEXTRAZOR_TEXT_RAZOR_ANALYZE_CONTENT | A comprehensive content analysis tool that combines multiple textrazor extractors to perform a complete analysis of the input text. |
Show all 13 actions
| Action | What it does |
|---|---|
# TEXTRAZOR_TOPIC_EXTRACTION | A tool to extract topics from text using textrazor's topic extraction capabilities. |
Ask your agent
Requests to paste as they are. Each one runs on the actions named under it.
TEXTRAZOR_ACCOUNT_INFOTEXTRAZOR_CLASSIFY_TEXTTEXTRAZOR_CUSTOM_CLASSIFIER_MANAGERConnect TextRazor in a minute
One MCP for every integration. Add it once, then every MCP in the catalog is a request away.
- 01
Add FlyMy.AI
Add the FlyMy.AI MCP to your assistant with one of the commands below and sign in. No key to copy.
- 02
Add your API Key
Paste it into the TextRazor connection settings once; it stays with FlyMy.AI, never in a prompt or a chat.
- API Key - Your TextRazor API Key used for authenticating requests to the TextRazor API. Get API key →
- 03
Ask
Paste a request from this page. Every run shows what it cost.
claude mcp add --transport http flymyai https://mcp-agents.flymy.ai/mcp
Then run /mcp in Claude Code and sign in.
codex mcp add flymy --url https://mcp-agents.flymy.ai/mcp
Then run codex mcp login flymy to sign in.
https://mcp-agents.flymy.ai/mcp
Settings, Connectors, Add custom connector: paste this URL.
Pay per run
FlyMy.AI bills the run: the model and the tool's seconds. Calls go to your own TextRazor account, under its plan and limits. No seats and no minimum.
Go to the source
From the FlyMy.AI platform catalog of 2026-11-03: name, description, actions and setup as the platform lists them. Examples are requests to paste, not recorded runs.