AI & Machine Learning · Textrazor + Claude
Textrazor MCP with Claude: Extract Entities and Sentiment From Text at Scale
The short answer
Claude works with Textrazor through the Model Context Protocol, an open standard that acts as a universal adapter. Once connected with an API key, Claude can ask Textrazor to analyse text, extract entities and relationships, and detect sentiment, then use those results to answer questions or trigger the next business step.
What is Textrazor?
Textrazor is a natural language processing API. It reads text and identifies the meaning within it: the people, places, organisations and topics mentioned, how they relate to each other, and whether the tone is positive, negative or neutral. Teams use it to make content searchable, to understand customer feedback and to add smarter analysis to their own applications. Developers, data teams, content operations and research groups are typical users.
How Claude connects to Textrazor through MCP
The Model Context Protocol, or MCP, is an open standard that lets Claude use other software securely. Think of it as a universal adapter between Claude and a tool. It allows Claude to read information from the tool and, where you allow it, take actions in it, using permissions your organisation controls.
Once Textrazor is connected, Claude can typically send documents or passages to Textrazor for analysis, receive the extracted entities, relationships and sentiment signals, and explain them in plain English. For example, a team member can ask Claude to summarise which companies were mentioned in a batch of contracts and how the tone of each review shifted over a quarter.
Permissions and approvals keep people in charge. Access is granted with the least privilege needed, using the API key you provide. Consequential actions, such as writing results into a customer record, can require a person's approval first. Activity can be logged so you can review what Claude requested and why.
What you can automate
Customer feedback sentiment tracking
A customer experience manager gathers survey comments and support notes each week. Claude sends the text to Textrazor, which detects sentiment and the topics people mention. Claude then produces a short weekly report showing which products attract praise and which attract complaints, so the team can act on patterns rather than reading every comment.
Contract and document review
A legal operations lead needs to find every agreement that names a particular supplier or jurisdiction. Claude uses Textrazor to extract organisations, locations and key terms from a folder of documents. The output is a searchable index that helps the team prioritise reviews, although a lawyer still checks the final conclusions.
Research and media monitoring
A communications team tracks coverage of its organisation and competitors. Claude retrieves articles, Textrazor identifies the people and companies named and the tone of each mention, and Claude summarises the day's coverage. Relationships between entities can show which executives appear alongside which events.
Knowledge base enrichment
A content team has thousands of internal articles with inconsistent tagging. Claude uses Textrazor to extract entities and topics from each article and proposes consistent tags for editors to approve. This makes internal search more useful for staff who are looking for a specific product, policy or client.
Support ticket triage
A support manager wants urgent or upset customers to reach the right team faster. When a ticket arrives, Claude asks Textrazor for the sentiment and key entities, then suggests a priority and routing. A team lead reviews the suggestion before the ticket is moved, keeping human judgement in the loop.
An end-to-end workflow: Weekly customer voice report
TriggerEvery Monday at 07:00, new survey responses and support tickets from the previous week are collected.
Claude retrieves the week's comments from the survey platform and the helpdesk.
Claude sends each comment to Textrazor, which returns entities, relationships and sentiment.
Claude groups the results by product, region and sentiment, and flags unusual spikes in negative tone.
Claude drafts a summary report and creates a task in the project tracker for the product team.
A customer experience manager reviews the draft and approves its circulation to leadership.
OutcomeLeaders receive a clear weekly view of what customers are saying, usually in a fraction of the time manual reading takes, with a named person accountable for the final report.
How we set it up
Free automation audit
We review how your teams handle text today, such as feedback, documents or tickets, and identify the workflows where Textrazor would add the most value.
Secure connection
We connect Claude to Textrazor using the API key sign-in method. The key is stored securely and access is limited to the analysis functions the workflow needs.
Workflow design
We design the end-to-end process across Textrazor and your other systems, such as Microsoft 365, your CRM, ERP or ticketing tool, and agree which actions need human approval.
Testing with real cases
We test the workflow against past documents or tickets and compare results with what your team would have concluded, then refine the prompts and rules.
Launch, monitoring and training
We launch with audit logs and monitoring in place, then train your team so they can use, question and improve the workflow with confidence.
Who benefits
- Customer experience leader
- Sees recurring themes and sentiment shifts across thousands of comments without manual reading.
- Legal or compliance operations manager
- Builds searchable indexes of entities and terms across large document sets, speeding up initial review.
- Communications or marketing lead
- Tracks how people and organisations are discussed in media and social content each day.
- IT or data team head
- Adds text analysis to existing applications through a managed, permissioned connection instead of custom plumbing.
Security and control
- Least-privilege access, with the API key scoped and stored securely.
- Human approval for any action that changes a customer, contract or record.
- Audit logs of requests sent to Textrazor and the outputs Claude produced.
- Clear rules on which data may be sent for analysis, reviewed before launch.
- Regular testing against known cases to check accuracy and catch drift over time.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can use Claude with Textrazor under their own data processing agreements and internal policies. In India, the Digital Personal Data Protection Act, 2023 shapes how personal data in text is handled, and we design flows to respect it. Organisations in the UAE and Saudi Arabia must meet their local data protection laws, so hosting and data flows are chosen to meet those requirements. Hosting region is selected during design to suit your legal obligations.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Textrazor MCP server do?
The Textrazor MCP server acts as a secure bridge between Claude and Textrazor. It lets Claude send text to Textrazor for analysis and receive back the entities, relationships and sentiment it finds. The server exposes only the functions your workflow needs, so Claude can work with the analysis service without having broader access to your systems.
Is connecting Textrazor to Claude secure?
Security depends on how it is set up. We use the API key sign-in method, store the key securely, grant least-privilege access and log activity. Consequential actions can require human approval. We also review what data is sent for analysis so sensitive content is handled according to your policies.
What can Claude do with Textrazor once connected?
Claude can typically submit documents or passages for analysis, read the extracted entities, relationships and sentiment, and explain the results in plain language. It can combine these with other business data, group results, draft reports and suggest next steps, with people approving any action that changes records.
How long does setup take?
Timelines vary with the number of systems involved and how complex the workflow is. A focused, single-workflow project often moves from audit to launch in a matter of weeks, while larger multi-system programmes take longer. The free automation audit gives you a realistic estimate for your situation.
What access or plan do I need for Textrazor?
Generally, you need an active Textrazor account that can issue an API key, and permission within your organisation to create and manage that key. The exact access depends on your Textrazor arrangement and your internal security policy, which we review during the audit so the connection is set up correctly.