Textrazor MCP integration
Classifies incoming text into taxonomy categories, extracts named entities with confidence scores, and maintains the classifiers behind both.
6actions available
Three actions you can hand over today
Every action runs live through MCP. Nothing to build, nothing to maintain.
Analyze content with textrazor
Lyro runs a full content analysis covering entities, intent, and meaning in a single call. Your team gets complete context on customer inquiries without running separate extraction tools.
Extract named entities from text
Lyro pulls out names, locations, organizations, and other key entities from customer messages automatically. Your team instantly spots the important details buried in customer text.
Classify text
Lyro sorts customer inquiries into predefined categories in real-time for smart routing. Your team routes tickets to the right department without manual triage.
How businesses use Textrazor + Lyro
Each card is one request a support team gets, and the Textrazor actions Lyro runs to close it.
Route a message by what it is actually about
Lyro classifies the text against a built-in taxonomy such as IAB Content Taxonomy 3.0 or IPTC Media Topics and reads back the categories with their confidence scores, so routing follows the subject rather than a keyword.
Classify TextAnalyze Content With TextRazorGet Account InformationPull the names out of a block of text
Lyro extracts the people, places, and companies mentioned, each with a type, confidence score, and relevance score, and applies thresholds to both so only the meaningful entities reach the answer.
Extract Named Entities From TextAnalyze Content With TextRazorClassify TextTeach TextRazor your own categories and terms
Lyro creates and updates custom classification categories and maintains entity dictionaries of domain terms, so later analysis recognises product names and internal language the built-in taxonomies miss.
Manage Custom ClassifiersDictionary ManagerExtract Named Entities From TextCheck plan headroom before a large batch
Lyro reads the account's subscription plan, concurrent request limit, and daily usage, so a long classification run is measured against the remaining allowance before it starts.
Get Account InformationClassify TextManage Custom Classifiers
How it works
Get started in 3 steps
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Lyro reads the Textrazor actions it has and picks the ones a request needs.
- 01
Connect Textrazor
Authorize the Textrazor account your team already uses — one consent screen, no API keys, no mapping tables. Lyro can only do what you granted that account, and you can disconnect it at any time.
- 02
Tell your agent what you need
Describe the job the way you would hand it to a teammate. Lyro maps it to the Textrazor actions that close it and chains as many as the request needs.
- 03
Watch it work
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started free
Everything else about Textrazor
Setup, permissions, and the limits of what Lyro can do inside Textrazor.
Classify Text ships with built-in classifiers including textrazor_iab for IAB QAG segments, textrazor_iab_content_taxonomy_3.0 from 2022, and textrazor_mediatopics_2023Q1 for IPTC Media Topics, plus other versions of those taxonomies. Lyro can also target a custom classifier you built through Manage Custom Classifiers.
Every action available in Textrazor
All 6 actions your agent can call on Textrazor, straight from the live MCP connection.
Get account information
This tool retrieves comprehensive information about a TextRazor account, providing essential details about the account's status, usage, and limits.
Classify text
This tool will classify text into predefined categories using TextRazor's classification capabilities.
Manage custom classifiers
This tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories.
Dictionary manager
Manage custom entity dictionaries in TextRazor for enhanced named entity recognition.
Extract named entities from text
Extract named entities (people, places, companies, etc.) from text using TextRazor's entity extraction API.
Analyze content with textrazor
A comprehensive content analysis tool that combines multiple TextRazor extractors to perform a complete analysis of the input text.
The tools Textrazor sits next to
Same connection, same setup. Pick the next one your team already uses.
Botpress
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Entelligence
Registers a GitHub repository for analysis and answers plain-language questions about its architecture, functionality, and dependencies.
Kaggle
Searches datasets, models, and competitions, publishes and versions datasets, pulls notebook code and output, and files competition entries.
Openai
Reports on running batch and fine-tuning jobs, maintains and searches vector stores, transcribes or voices audio, and runs moderation and evals.
Semanticscholar
Finds papers by title, topic, or text snippet, traces citations and references, and profiles authors with their publication metrics.
Writer
Queries a knowledge graph for grounded answers, uploads and indexes new documents into it, and unlinks the files that have gone out of date.

Ready to connect Textrazor?
Authorize the account and your agent has all 6 actions from the first conversation.


