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Connect Bm25 Context Relevance Scorer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get mathematical relevance scores without expensive LLM calls.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through BM25 Scorer.

  1. 01

    Analyze document composition

    This capability extracts structural statistics from a document. It provides token counts and term frequency maps for your analysis.

  2. 02

    Calculate term weights

    This capability computes the IDF for every term in a query. It helps your agent understand term importance within a specific corpus.

  3. 03

    Compute relevance score

    This capability calculates the BM25 relevance score for a document. It returns a mathematical score indicating how well a document matches a query.

Real work

What teams actually run

01

RAG Noise Reduction

Your agent scores retrieved chunks and only passes the highest-scoring documents to the LLM.

02

Corpus Auditing

You analyze the composition of a dataset to understand term distribution and frequency.

03

Search Engine Tuning

You use IDF weights to understand how specific terms behave across your entire document collection.

04

Cost Management

You prevent expensive model calls by using BM25 to discard low-relevance data early.

One connector, every AI

BM25 Scorer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put BM25 Scorer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

734ms average. Fast in production.

BM25 Scorer is checked daily against the live service.

Daily averagePeak 927ms
Oct 3Today
Fastest day
567ms
Slowest day
927ms
14-day trend
Improving-32%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of BM25 Scorer, so you can see the experience inside your AI.

It does not authenticate your account with BM25 Scorer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

BM25 Scorer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_13iaLV42ZXoIPJuXWoZJmsXXcpfHRxpcEFkqQcfP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — BM25 Scorer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "bm25-context-relevance-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_13iaLV42ZXoIPJuXWoZJmsXXcpfHRxpcEFkqQcfP/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up BM25 Scorer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work BM25 Scorer owners hand off.

This MCP is built for engineers and researchers working on information retrieval and RAG systems.

  • 01

    AI Engineers

    They use it to reduce LLM costs by filtering context mathematically.

  • 02

    Data Scientists

    They use it to analyze term importance and document composition.

  • 03

    NLP Researchers

    They use it to implement deterministic scoring in retrieval pipelines.

FAQ

Questions BM25 Scorer owners ask.

  • 01

    How does this MCP differ from using an LLM for relevance?

    This MCP uses the BM25 algorithm to provide deterministic, mathematical scores. This is faster and cheaper than asking an LLM to evaluate relevance.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    What is the primary use for the compute_relevance_score capability?

    It calculates a specific BM25 score to tell your agent how relevant a document is to a specific query.

  • 04

    Can I use this to analyze my document datasets?

    Yes, you can use the analyze_document_composition capability to get token counts and frequency maps for any document.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 06

    How does the scoring work?

    The engine uses the BM25 algorithm, calculating IDF based on corpus size and term prevalence, then applying length normalization and saturation constants.

  • 07

    Do I need an LLM to calculate scores?

    No, this capability provides deterministic mathematical results using the compute_relevance_score function without any LLM involvement.

  • 08

    What inputs are required for scoring?

    You must provide query tokens, document tokens, corpus size, term document counts, and average document length.

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