# N-Gram Frequency Engine MCP for AI Agents AI Agent Connect > N-Gram Frequency Engine provides exact counting for unigrams, bigrams, and trigrams in massive documents. It bypasses the token limits and the inaccurate estimations that happen when you ask an LLM to analyze long texts. You get mathematically perfect frequency data in milliseconds, ensuring your data is always 100% accurate. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_9T1etKMahiW8NnGArHZFRlQgidDXjNxOPOUMepVx/ai-agent-connect - **Tags:** nlp, text-processing, frequency-analysis, bigram, trigram, linguistic-analysis ## Description The N-Gram Frequency Engine handles the heavy lifting of phrase counting so your AI client doesn't have to guess. When you feed a hundred-page document into a standard AI client, it usually loses track of the details or gives you fuzzy numbers because it's trying to process everything at once. This Connector works differently. It runs the counting logic in native V8 JavaScript, which means it treats your text as raw data rather than tokens. You get exact numbers for bigrams, trigrams, and custom N-Grams without the risk of the agent skipping over key phrases or making up statistics. If you're doing linguistic analysis, SEO keyword mapping, or large-scale text mining, this is the way to do it. It's a reliable way to get hard data into your workflow, especially when using the Vinkius catalog to connect your favorite tools. You get the precision of a script with the conversational ease of your agent. Instead of hoping the AI remembers every instance of a phrase, you can trust that the count is perfect. This is a huge win for anyone who needs to be certain about their data points. You don't have to worry about the context window cutting off your data or the model getting tired of counting. You just provide the text and get the results. It makes the process of analyzing massive datasets feel fast and reliable. It is built to handle the heavy lifting of linguistic patterns without the overhead of standard AI processing. ## Tools ### extract_ngram_frequencies This tool finds the most frequent N-Grams from a block of text. It returns exact counts for bigrams, trigrams, or any custom length you specify. ## Prompt Examples **Prompt:** ``` Find the top 10 trigrams in this 50-page PDF to help me identify the main themes. ``` **Response:** ``` I've analyzed the text and extracted the most frequent trigrams for you. Here are the top 10 results: | Phrase | Frequency | | :--- | :--- | | **the core of** | 42 | | **analysis of the** | 38 | | **data points** | 35 | | **results show that** | 31 | | **impact on the** | 29 | The counts are mathematically exact and reflect the entire document. ``` **Prompt:** ``` Look at these 500 customer reviews and tell me the top 5 bigrams. ``` **Response:** ``` I've processed the reviews. Here are the most frequent 2-word phrases: * **battery life** (87) * **easy setup** (64)* **screen quality** (52) * **shipping was** (41) * **fast charging** (39) These are the most common phrases mentioned by your customers. ``` **Prompt:** ``` Extract the 4-gram frequencies from this article to see their SEO strategy. ``` **Response:** ``` I've analyzed the competitor article. Here are the most frequent 4-word sequences: 1. **best way to learn** (12) 2. **how to get started** (10) 3. **step by step guide** (9) 4. **easy to use tool** (8) 5. **quick and easy way** (7) They seem to be targeting high-intent educational keywords. ``` ## Capabilities ### Count exact bigrams Get the top 2-word phrases from any text with 100% accuracy. ### Extract trigram frequencies Find the most common 3-word sequences in a document instantly. ### Analyze custom N-Grams Define and count phrases of any length for specific research needs. ### Process massive text files Handle hundreds of pages without hitting token limits or context windows. ### Deliver deterministic results Ensure the count is the same every single time you run the analysis. ## Use Cases ### SEO Keyword Mapping A marketing lead has a 50-page whitepaper and needs to know the top 10 bigrams. They ask their agent to use the Connector to find them instantly. ### Linguistic Research A student wants to find recurring 3-word phrases in a classic novel to identify themes. The agent pulls the data with perfect precision. ### Customer Review Analysis A product manager wants to see the most common 2-word complaints from 1,000 reviews. The Connector counts them perfectly without missing a single one. ### Content Audit An editor wants to check for repetitive phrasing in a long manual. The agent identifies the most frequent trigrams to help clean up the copy. ## Benefits - Stop AI hallucination by using this Connector to get real numbers instead of guesses. - Save tokens by offloading heavy counting tasks to the N-Gram Frequency Engine. - Handle 100-page documents in milliseconds without hitting context windows. - Get consistent results every time you run a frequency analysis for your research. - Map out complex SEO strategies with precise 4-gram or 5-gram data points. ## How It Works The bottom line is you get perfect math instead of AI approximations. 1. Provide the text or a document link to your agent 2. Tell your agent which N-Gram size you need to analyze 3. Get a ranked list of exact phrase frequencies in milliseconds ## Frequently Asked Questions **Can the N-Gram Frequency Engine count phrases in very long books?** Yes, it can. It processes the text directly in native JavaScript, so it doesn't get bogged down by the length of the document like a standard AI chat might. **How accurate are the counts provided by this Connector?** They are 100% accurate. The tool performs deterministic counting, meaning it provides the exact mathematical count every time you run it. **Does it work for bigrams and trigrams?** Yes, it handles bigrams, trigrams, and even custom N-Grams of any length you specify during your analysis. **Why should I use this instead of just asking my AI?** Standard AI models often 'guess' frequencies based on their training data or what they remember from the context window. This Connector gives you the hard numbers you need for real research. **Can I use the N-Gram Frequency Engine for SEO research?** Absolutely. It's a perfect tool for mapping keyword density and identifying common phrase patterns in long-form content or large datasets. **Is the N-Gram Frequency Engine fast enough for large files?** Yes, it's designed for speed. It can process and count phrases in massive documents in just milliseconds. **What are Bigrams and Trigrams?** A bigram is a sequence of two adjacent words (e.g., 'machine learning'). A trigram is three (e.g., 'natural language processing'). **Does it lowercase the text automatically?** Yes, all text is automatically lowercased and tokenized natively to ensure accurate aggregation of phrases. **Is this faster than asking Claude?** Significantly faster and 100% accurate. LLMs cannot count occurrences across thousands of tokens reliably.