NLP Tools Sentiment, NER, Toxicity & Language Detection
Wire sentiment, toxicity, NER, PII redaction, and language detection into your agent-built app without hosting your own NLP stack.
Overview
NLP Tools is a MCP server for the Build phase that exposes toxicity, sentiment, NER, PII detection, and language identification over streamable HTTP for coding agents.
What is this MCP server?
- Remote streamable-http MCP at Azure API Management endpoint (no local model install)
- Toxicity and sentiment scoring for moderation and UX feedback loops
- Named-entity recognition and PII detection for privacy-safe pipelines
- Language identification for routing localization or translation workflows
- Published as io.github.fasuizu-br/nlp-tools v1.1.0 with Brainiall branding
- Server version 1.1.0 in published manifest
- Five capability areas: toxicity, sentiment, NER, PII detection, language identification
- Single remote URL type streamable-http on Azure API Management
Community signal: 2 GitHub stars.
What problem does it solve?
You need reliable text classification and privacy checks in your app but do not want to train models or maintain separate NLP microservices yourself.
Who is it for?
Indie builders adding UGC moderation, support triage, or multilingual routing to an agent-assisted product via MCP.
Skip if: Teams that require on-prem-only inference, custom model fine-tuning, or batch ETL without an agent in the loop.
What do I get? / Deliverables
After you register the remote MCP, your agent can call standardized NLP operations while you implement moderation, analytics, and redaction in your codebase.
- Agent-callable toxicity, sentiment, NER, PII, and language-ID operations
- Integration patterns for moderation and redaction in app code
- Documented remote endpoint for team MCP configs
Recommended MCP Servers
Journey fit
How it compares
Hosted NLP MCP integration, not a local Python skill or a general LLM chat plugin.
Common Questions / FAQ
Who is NLP Tools for?
Solo and small-team builders using Claude Code, Cursor, or Codex who need sentiment, toxicity, NER, PII, and language tools through MCP while building text-heavy features.
When should I use NLP Tools?
Use it during Build when integrating moderation, analytics, or compliance checks on user text, before you ship flows that store or display untrusted content.
How do I add NLP Tools to my agent?
Add the streamable-http remote https://apim-ai-apis.azure-api.net/mcp/nlp/mcp in your MCP client config per your editor’s MCP setup docs and verify connectivity with a short test prompt.