How to Use the Deterministic Text Summarizer & Extractor MCP in Windsurf

Q: How do I install the Deterministic Text Summarizer & Extractor in Windsurf?

Open your MCP panel and click Refresh, or edit /.codeium/windsurf/mcpconfig.json. Cascade auto-discovers the tools the second you save the file.

Give Windsurf pure math-based text extraction to analyze documents without hallucinating.

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Connect Deterministic Text Summarizer & Extractor MCP to Windsurf

Create your Vinkius account to connect Deterministic Text Summarizer & Extractor to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Deterministic Text Summarizer & Extractor with Windsurf

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Deterministic Text Processing via MCP Server

LLMs are terrible at exact counting. If Cascade reads a massive log file, it needs the main themes. Instead of blowing tokens on a hallucinated summary, it calls `extract_top_keywords`. This MCP server runs pure Term Frequency math to pull the exact top words. Noise gets ignored automatically. You get hard data back. Cascade chains this array into the next step, maybe querying a database based on those exact terms. No stochastic parrots guessing at meaning here.

Bigram Analysis for SEO and Topics

Sometimes single words lack context. Cascade uses `extract_top_bigrams` to find the most common two-word phrases in your target text. It slides a window over the tokens and counts pairs deterministically. This is exactly what you need for SEO topic modeling. Windsurf handles the routing, while the tool handles the math. You get reproducible results every single time.

Algorithmic Extractive Summarization

Generative summaries invent things. Extractive summaries do not. When you run `extractive_summary`, the server scores every sentence by its keyword frequency. It then returns the top N sentences verbatim. The original text remains intact. Cascade can drop this summary into a markdown file or use it as context for a smaller prompt. You save API costs and guarantee factual accuracy.

Setup guide

Set up Deterministic Text Summarizer & Extractor MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Deterministic Text Summarizer & Extractor MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Deterministic Text Summarizer & Extractor payment history." If connected, Cascade will call the Deterministic Text Summarizer & Extractor tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "deterministic-text-summarizer-extractor-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Deterministic Text Summarizer & Extractor MCP in Windsurf

Open your MCP panel and click Refresh, or edit ~/.codeium/windsurf/mcp_config.json. Cascade auto-discovers the tools the second you save the file.

Yes. Cascade will chain these tools without asking permission. You tell it to analyze a folder of transcripts, and it will loop through them using the extraction tools.

No. It runs entirely on local math. The server uses Term Frequency algorithms to count words and score sentences.

Because LLMs hallucinate and cost money. This MCP server provides exact, reproducible counts and verbatim sentence extraction.

Your raw text strings never leave your machine. The server processes the text locally in memory to calculate word frequencies and drops it immediately.

Use it with your favorite AI tools

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