Local File Reader MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Local File Reader MCP ServerAnalyze my spending from the data.csv file"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local File Reader MCP Server
This is a Model Context Protocol (MCP) server that provides an analyze_spending tool to AI assistants. It securely reads local files (CSV, JSON, TXT, MD, PDF, etc.) from the project directory and returns their text contents to the AI for analysis.
Features
Supports multiple formats: Reads text-based files out of the box, and uses
pdf-parseto extract text from PDFs.Secure:
Prevents path traversal and symlink attacks (only reads files inside the project directory).
Prevents Out of Memory (OOM) crashes by enforcing a 10MB file size limit.
Sanitizes error messages to prevent sensitive path leakage.
Related MCP server: mix_server
Prerequisites
Node.js (v18 or higher recommended)
npm
Setup & Installation
Open your terminal in the project directory (
mcp-project).Install the dependencies:
npm install
Testing the Server (Using the MCP Inspector)
The easiest way to test this server is to use the official MCP Inspector. This spins up a local web interface where you can pretend to be the AI and test the tool manually.
Run the inspector command:
npx @modelcontextprotocol/inspector node index.jsThe terminal will output a URL like
http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=.... Open this link in your browser.In the Inspector UI, go to the Tools tab.
Select
analyze_spending.Enter the
filenameof a file that exists in this directory (e.g.test.csvordocument.pdf) and hit Run. The contents of the file will be returned!
Using the Server with a real AI Agent
You can hook this local server up to any MCP-compatible AI client (like Claude Desktop or Cursor).
For example, to configure it in Claude Desktop, you would add this to your claude_desktop_config.json:
{
"mcpServers": {
"local-file-reader": {
"command": "node",
"args": [
"/absolute/path/to/your/mcp-project/index.js"
]
}
}
}Once connected, you can ask the AI: "Can you analyze my spending in the data.csv file?" and it will seamlessly use this tool to fetch the file contents.
This server cannot be deployed
Maintenance
Related MCP Connectors
Securely search and manage workspace context files for AI agents and teams.
Read-only bank access for your AI agent. Connects Claude, ChatGPT, Cursor, Gemini, Codex.
Artifact store for AI agents — read, write, and search files by path; share by rendered URL.
- Era ContextOAuthapp.era
Personal finance, bank account, and shared memory connector for Claude, ChatGPT, Gemini Spark & more
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to read, search, and analyze local file systems with tools for reading file contents, listing directories, searching by patterns, and analyzing folder structures for context-aware queries.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with local CSV and Parquet data files through natural language queries, facilitating tasks like summarizing datasets or retrieving specific information.5-
- AlicenseNot gradedqualityDmaintenanceProvides AI agents with secure, read-only file system access to analyze and understand project codebases, enabling multi-repository context aggregation and cross-project code tracing.5MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to perform file system operations within a specified project directory, including reading, writing, editing, and managing files, with optional read-only access to reference projects.50MIT