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Matrix

MCP server · installable · v0.2.2 · io.github.matthiasnordwig/matrix-mcp
NEW · 2h agoNew version 1h agoSeen in the registry 6m ago

Answer questions over large PDF folders ~3x faster, with file and page citations. Runs locally.

What it does

Matrix is an MCP server, a connector that lets an AI assistant use it as a tool. It is installed locally as a package and runs on your machine.

From the publisher's description, Electra Index matched it to one capability: document understanding. That makes it a candidate for tasks such as answer questions from internal documents or analyze financial documents.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence) and are not a test of the tool.

At a glance

Hosted (remote)NO
Local installYES
Version0.2.2
PackagesMCP bundle, npm
PriceNot in the registry
First seen22 Oct 2026
Last checked6m ago

How to connect

As declared in the Official MCP Registry · not tested by Electra Index

Install packages

  • MCP BUNDLE https://github.com/matthiasnordwig/matrix-mcp/releases/download/v0.2.2/matrix-standalone.mcpb · runs locally (stdio)
  • NPM @matthiasnordwig/matrix-mcp v0.2.2 · runs locally (stdio)

MCP settings (Claude Desktop, Cursor and other MCP clients)

{
  "mcpServers": {
    "matrix": {
      "command": "npx",
      "args": [
        "-y",
        "@matthiasnordwig/matrix-mcp"
      ]
    }
  }
}

Tasks it helps with

Share of each task's required capabilities it covers
Answer questions from internal documents
Document Understanding
50%
Analyze financial documents
Document Understanding
50%
Analyze patents
Document Understanding
50%
Extract data from PDFs
Document Understanding
50%
Fact-check a document
Document Understanding
50%
Prepare tax documents
Document Understanding
50%
Review contracts
Document Understanding
50%
Summarize academic papers
Document Understanding
50%

Similar tools

Listed for the same task: answer questions from internal documents
  • PDF, DOCX and scans to Markdown, CSV tables and RAG chunks with OCR. Runs on Apify
  • BrainTubeREMOTELOCAL
    Your saved videos, articles and notes as one knowledge base for Claude, ChatGPT and any MCP client
  • Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats
  • Extract text, tables and RAG chunks from public PDF URLs; pay-per-event via your Apify account
  • doc-to-markdownREMOTELOCAL
    PDF, Word, PowerPoint, Excel, HTML, EPUB to Markdown: OCR, page ranges, tables, RAG chunking
  • Scholar RAG MCPREMOTELOCAL
    Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management

Ready-made AI agents

An MCP server is a connector you add to your own assistant. These are finished products that do the same job for you:

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Install packagehttps://github.com/matthiasnordwig/matrix-mcp/releases/download/v0.2.2/matrix-standalone.mcpb, @matthiasnordwig/matrix-mcpDECLAREDSRC-001 Official MCP Registry6m ago
Version0.2.2DECLAREDSRC-001 Official MCP Registry6m ago
Package registriesmcpb, npmDECLAREDSRC-001 Official MCP Registry6m ago
Local install (package)yesDECLAREDSRC-001 Official MCP Registry6m ago
Remote access (hosted)noDECLAREDSRC-001 Official MCP Registry6m ago
Websitehttps://github.com/matthiasnordwig/matrix-mcpDECLAREDSRC-001 Official MCP Registry6m ago
Repositoryhttps://github.com/matthiasnordwig/matrix-mcpDECLAREDSRC-001 Official MCP Registry6m ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry6m ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry6m ago

Change history

  • VERSION22 Oct 2026
    0.2.0 → 0.2.1
  • NEW22 Oct 2026
    first seen in the index

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Questions about Matrix

How do I connect Matrix?

Install the MCP bundle package https://github.com/matthiasnordwig/matrix-mcp/releases/download/v0.2.2/matrix-standalone.mcpb. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

What can I use Matrix for?

Based on its description, it is most relevant to: answer questions from internal documents, analyze financial documents, analyze patents, extract data from PDFs.