How do I install File Context Server?
You can install it automatically via Smithery using `npx -y @smithery/cli install @bsmi021/mcp-file-context-server --client claude` or manually with `npm install @modelcontextprotocol/file-context-server`.
@bsmi021
Basic information
A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-file-context-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@bsmi021/mcp-file-context-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that provides file system context to Large Language Models, enabling them to read, search, and analyze code files with advanced caching and real-time file watching.
Install via Smithery automatic installation or manually with npm install @modelcontextprotocol/file-context-server. Start the server with npx file-context-server and use tools such as list_context_files, read_context, search_context, analyze_code, and cache_stats with specified JSON parameters.
You can install it automatically via Smithery using `npx -y @smithery/cli install @bsmi021/mcp-file-context-server --client claude` or manually with `npm install @modelcontextprotocol/file-context-server`.
It requires Node.js and npm to install and run; no additional runtime or database is needed as it operates on the local file system.
All data is read directly from the user’s local file system; cached entries are kept in memory with configurable size and TTL (default: 1000 entries, 1 hour).
Maximum file size for reading is configurable via the `MAX_FILE_SIZE` environment variable, and cache size is limited by `MAX_CACHE_SIZE` (default 1000 entries). The server returns specific error codes for issues like missing files or permission denials.
MCP server to extract contents from a PDF file
Official MCP server for pdfAssistant. Connect Claude, ChatGPT, or any MCP client to perform professional PDF processing like OCR, permanent redactions, secure encryption, format conversions, and 40+ advanced operations p
Blazing-fast, asynchronous MCP server for seamless filesystem operations.
MCP Server for reading many files at the same time
Comments