TextRazor Connector for AI agents.
11 live capabilities
Extract structured data and entities from messy text or web pages.
Waiting for input…
Why people use TextRazor
TextRazor NLP Entity Extraction for Data Analysis
With this Connector, your agent does the work. It reads the source, identifies the key players, and gives you a structured list of facts. You get a clean dataset instead of a wall of text.
What Vinkius changes
That it turns messy human language into organized data for your agent to process.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Extracting entities from long reports
A researcher needs to know every company mentioned in a 50-page PDF.
- Real-world use case 02
Automated SEO category tagging
A content team wants to tag 500 old articles with new SEO categories.
- Real-world use case 03
Converting reviews into structured data
A data scientist needs to turn 10,000 tweets into a structured CSV of names and locations.
Complete set · 11capabilities
The complete TextRazor capability set.
These are the exact actions your AI can choose when you ask it to work with TextRazor.
01—04
4 capabilities in this set.
Part of 11 available through TextRazor.
- 01 Capability
Delete category
Delete a custom classifier. Use this to clean up your category list when you no longer need a specific tag.
- 02 Capability
List dictionary entries
List all entries in a custom dictionary. Quickly see every custom term you've added to a specific list.
- 03 Capability
List dictionaries
List all custom dictionaries. Use this to see an overview of all your custom-built term lists.
- 04 Capability
Analyze text
Provide either text or url, and a comma-separated list of extractors. This is the main capability for pulling entities and topics from any source.
05—08
4 capabilities in this set.
Part of 11 available through TextRazor.
- 05 Capability
Create category
Create or update a custom classifier/category. Define new topics for your agent to use when organizing content.
- 06 Capability
Create dictionary
Create a new custom dictionary. This lets you define specific terms for your agent to watch out for.
- 07 Capability
Delete dictionary
Delete a custom dictionary and its entries. This helps you manage your storage and remove old term lists.
- 08 Capability
Get account
Get account details, usage, and limits. Check your remaining balance and API status to keep your agent running.
09—11
3 capabilities in this set.
Part of 11 available through TextRazor.
- 09 Capability
Get dictionary
Get details of a specific custom dictionary. Use this to see what terms are currently saved in a specific list.
- 10 Capability
List categories
List all categories in a custom classifier. This shows you every topic your agent can currently use for tagging.
- 11 Capability
Add dictionary entries
Add entries to a custom dictionary. Populate your custom lists with the specific jargon of your industry.
Set up in minutes
One URL. Then ask TextRazor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use TextRazor from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it TextRazor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable TextRazor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the TextRazor URL.
- Step 03
Save and start
Save the connection and enable TextRazor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"textrazor": {
"url": "https://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using TextRazor
Open Agent mode in chat and ask: "Using TextRazor, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"textrazor": {
"url": "https://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using TextRazor
Ask Copilot: "Using TextRazor, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"textrazor": {
"url": "https://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using TextRazor
Open Cascade and ask: "Using TextRazor, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"textrazor": {
"url": "https://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using TextRazor
Ask Cline: "Using TextRazor, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add textrazor --transport http "https://edge.vinkius.com/vk_preview_vecqfh8K0a3E1sxbBP1vh9Y5BRM4TTm2vrIW6dfx/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using TextRazor
Ask Claude: "Using TextRazor, show me...". 11 tools are ready
Where the request belongs
Work TextRazor can move forward.
Data scientists dealing with massive datasets, researchers monitoring news cycles, and content teams trying to tag thousands of articles without losing their minds.
Data Scientist
Extracts structured data from thousands of customer reviews to identify common complaints and sentiment trends.
Market Researcher
Monitors news sites to find every mention of a specific competitor and their key partners in real time.
Content Manager
Automatically tags a backlog of blog posts with SEO categories based on their actual content.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMonkeyLearn
Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topics automatically.
MeaningCloud
Advanced text analytics for sentiment analysis, topic extraction, language detection, and automatic summarization.
OneAI
Analyze text and media with OneAI Language Skills—summarize, extract entities, and transcribe audio directly through your AI agent.
NLP Cloud
High-performance NLP API for text summarization, entity extraction, classification, sentiment analysis, ASR, and translation.
Natural Tokenizer Engine
Tokenize text into words, numbers, emails, URLs, emojis, and hashtags deterministically. AI struggles with mixed content. this engine extracts exact linguistic entities instantly.
Deterministic Text Summarizer & Extractor
Equip your AI with pure Term Frequency (TF) text analysis. Deterministically extract keywords, bigrams, and generate extractive summaries without external API calls.
Bring your own AI
Change the model, client or framework. Keep TextRazor connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about TextRazor.
The practical details behind the request, access and result.
Can TextRazor MCP find specific people in a long article?
Yes, it identifies names and roles within a block of text. It can pick out specific individuals even in very long documents.
How does TextRazor MCP handle websites?
It visits the public URL and pulls out the key data points. This means your agent can summarize and extract facts from live web pages.
Can I teach TextRazor MCP my own industry terms?
Yes, you can build custom dictionaries. This allows your agent to recognize and prioritize the specific jargon used in your niche.
Is TextRazor MCP good for SEO research?
It is excellent for SEO because it automatically tags content with relevant topics. This helps you categorize large amounts of data quickly.
Can TextRazor MCP find relations between entities?
Yes, it maps how different things connect. It can identify who owns what, who works for whom, and how companies are partnered.
Does TextRazor MCP work on PDFs?
It works on any text input. If you provide the text content from a PDF, the Connector can analyze it just like a web page or article.
How can I analyze a web page directly without copying the text?
Use the analyze_text capability and provide the target link in the url parameter. TextRazor will fetch the content and process it based on your requested extractors.
Can I filter entities by specific types like DBPedia?
Yes, the analyze_text capability includes an entities_filterDbpediaTypes parameter. You can provide a list of types to narrow down the results to exactly what you need.
How do I manage custom terminology for my business?
You can use create_dictionary to initialize a new knowledge base and then use add_dictionary_entries to populate it with your specific terms and IDs.
One connection away
Give your agent a direct line to TextRazor.
Connect TextRazor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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