How to Use the Deterministic Text Summarizer & Extractor MCP in VS Code Copilot

Equip your VS Code Copilot agents with deterministic, math-based text extraction tools for reliable team-wide analysis.

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Connect Deterministic Text Summarizer & Extractor MCP to VS Code Copilot

Create your Vinkius account to connect Deterministic Text Summarizer & Extractor to VS Code Copilot 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 VS Code Copilot

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Share deterministic keyword extraction in VS Code Copilot

Keep your team's text analysis consistent by committing the `extract_top_keywords` tool directly to your repository. This ensures every developer's VS Code Copilot agent uses the exact same Term Frequency math. By defining this in .vscode/mcp.json, your team bypasses the unpredictable nature of standard LLM keyword generation with this MCP Server. The agent extracts precise terms directly within the editor, keeping everyone on the same page.

Automate bigram tracking in VS Code Copilot

Tracking recurring word pairs in large text corpuses is simple with the `extract_top_bigrams` tool. It scans your workspace files and outputs the most common phrases based on pure frequency. Your Copilot agent can run this tool during code reviews to check for repetitive documentation or to extract key phrases from markdown files. The results are returned directly inside your chat panel.

Extract critical sentences without rewriting

Avoid the risk of AI hallucination when summarizing technical specs. The `extractive_summary` tool pulls the most mathematically relevant sentences from your files without changing a single word. This MCP Server runs the selection algorithm locally, ensuring your summaries are 100% accurate representations of the source. Your Copilot agent can then format these sentences into clean workspace documentation.

Setup guide

Set up Deterministic Text Summarizer & Extractor MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Deterministic Text Summarizer & Extractor MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Deterministic Text Summarizer & Extractor tools listed. Try asking: "List my recent Deterministic Text Summarizer & Extractor transactions" and Copilot will invoke them automatically.

.vscode/mcp.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 VS Code Copilot

You can add the server configuration to your project's .vscode/mcp.json file and commit it to Git. Every developer on your team using VS Code 1.96+ with Copilot will instantly get access to the tools.

Standard prompts rely on stochastic LLM logic which varies with every request. This Deterministic Text Summarizer & Extractor MCP Server uses a stable, local algorithm to guarantee identical keyword and summary outputs every time.

Yes, the text analysis runs locally or within your isolated sandbox, meaning you do not need an active internet connection to extract keywords or bigrams. This makes it ideal for secure, offline development environments.

Abstractive summaries rewrite the text, which often introduces errors or bias. Extractive summaries pull original sentences directly from your document based on mathematical term frequency, ensuring absolute accuracy.

The server processes your raw text files and code comments inside an isolated, zero-trust V8 sandbox. No data is ever sent to external APIs, ensuring your proprietary information remains strictly within your controlled environment.

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