MCP File Processor

Name: MCP File Processor
Author: IntelagentStudios

by IntelagentStudiosversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.IntelagentStudios/mcp-file-processor

Install

Overview

Description from the maker (original English)

Text extraction, keyword extraction, language detection, and chunking for RAG

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "file-processor": {
      "command": "npx",
      "args": [
        "-y",
        "@intelagent/mcp-file-processor"
      ]
    }
  }
}

Run this in your terminal

claude mcp add file-processor -- npx -y @intelagent/mcp-file-processor

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "file-processor": {
      "command": "npx",
      "args": [
        "-y",
        "@intelagent/mcp-file-processor"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "file-processor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@intelagent/mcp-file-processor"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account IntelagentStudios, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7235 servers in this category
Published to the registry more recently than 5% of the other 7235 servers in this category
Basic checks equal to or better than 100% of the other 7235 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP File Processor safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@opafex/mcp-file-processor

MCP server for universal text extraction, keyword extraction, language detection, and text chunking — designed for RAG pipelines.

Supports PDF, DOCX, CSV, JSON, Markdown, HTML, and code files. Zero platform dependencies.

Installation

npm install @opafex/mcp-file-processor

Requires Node.js 20+.

Quick Start

Add to Claude Code / Claude Desktop

"mcpServers": { "file-processor": { "command": "npx", "args": ["@opafex/mcp-file-processor"] } } }

No API keys needed — everything runs locally.

Tools

`extract_text`

Extract text content from a file.

Parameter	Type	Required	Description
`content`	string	Yes	File content — base64 for binary formats (PDF, DOCX), raw text for text formats
`fileType`	string	Yes	MIME type (e.g. `"application/pdf"`) or extension (e.g. `".pdf"`, `"pdf"`)

Example response

"success": true, "text": "Extracted text content here...", "wordCount": 142, "pageCount": 3, "processingTimeMs": 45 }

</details>

`extract_keywords`

Extract ranked keywords from text. Filters stop words, sorted by frequency.

Parameter	Type	Required	Description
`text`	string	Yes	Text to extract keywords from
`limit`	number	No	Max keywords to return (default: 20)

Example response

"success": true, "keywords": [ { "word": "javascript", "frequency": 8 }, { "word": "framework", "frequency": 4 }, { "word": "react", "frequency": 3 } ], "totalWords": 156 }

</details>

`detect_language`

Detect whether content is code, natural language, or mixed.

Parameter	Type	Required	Description
`text`	string	Yes	Text to analyse
`fileName`	string	No	File name for extension-based detection (e.g. `"app.ts"`)

Example response

"success": true, "contentType": "code", "programmingLanguage": "typescript" }

</details>

`chunk_text`

Split text into overlapping chunks for RAG/embedding pipelines.

Parameter	Type	Required	Description
`text`	string	Yes	Text to chunk
`chunkSize`	number	No	Target chunk size in characters (default: 1000)
`overlap`	number	No	Overlap between chunks in characters (default: 200)

Example response

"success": true, "chunks": [ { "index": 0, "text": "...", "startOffset": 0, "endOffset": 1000, "wordCount": 167 }, { "index": 1, "text": "...", "startOffset": 800, "endOffset": 1800, "wordCount": 172 } ], "totalChunks": 5, "totalCharacters": 4200 }

</details>

`process_file`

All-in-one: extract text, detect content type, extract keywords, and chunk.

Parameter	Type	Required	Description
`content`	string	Yes	File content (base64 or raw text)
`fileType`	string	Yes	MIME type or file extension
`chunkSize`	number	No	Chunk size in characters (default: 1000)
`chunkOverlap`	number	No	Overlap in characters (default: 200)
`keywordLimit`	number	No	Max keywords (default: 20)

`server_info` (built-in)

Returns server metadata, registered tools, and resources.

Resources

Resource	Description
`file-processor://supported-types`	Lists all supported MIME types and file extensions

Supported Formats

Format	Extension	Input
PDF	`.pdf`	base64
Word	`.docx`, `.doc`	base64
Plain text	`.txt`	raw text
Markdown	`.md`	raw text
CSV	`.csv`	raw text
JSON	`.json`	raw text
HTML	`.html`	raw text
XML	`.xml`	raw text
JavaScript	`.js`, `.jsx`, `.mjs`	raw text
TypeScript	`.ts`, `.tsx`	raw text
Python	`.py`	raw text
Java	`.java`	raw text
Go	`.go`	raw text
Rust	`.rs`	raw text
C/C++	`.c`, `.cpp`, `.h`	raw text

Development

npm run build    # Compile TypeScript

npm run dev # Run with tsx npm test # Run tests npm start # Run compiled server

Library Usage

import { FileProcessorService } from '@opafex/mcp-file-processor/service';

const service = new FileProcessorService();

const result = await service.processFile( 'Hello world, this is a document.', '.txt', 500, // chunk size 100 // overlap );

Contributing

Found a bug or have a feature request? Open an issue.

License

MIT — see LICENSE.

MCP File Processor

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

@opafex/mcp-file-processor

Installation

Quick Start

Add to Claude Code / Claude Desktop

Tools

extract_text

extract_keywords

detect_language

chunk_text

process_file

server_info (built-in)

Resources

Supported Formats

Development

Library Usage

Contributing

License

`extract_text`

`extract_keywords`

`detect_language`

`chunk_text`

`process_file`

`server_info` (built-in)