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
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-file-context-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@bsmi021/mcp-file-context-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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 Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.

Model Context Protocol Servers

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Go server implementing Model Context Protocol (MCP) for filesystem operations.
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