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Implements a whitelist-based access model where the server enforces directory boundaries, preventing path traversal attacks via normalization and validation of requested paths against allowed roots. Clients connect via stdio or HTTP transport and request file contents, which are streamed back through the MCP message protocol with size limits and encoding handling.","intents":["I want to let an LLM read files from my project without giving it unrestricted filesystem access","I need to expose specific directories to Claude or other MCP clients while preventing access to sensitive system files","I want to build an agent that can analyze code, documentation, or config files within defined boundaries"],"best_for":["AI agents and LLM applications requiring safe file inspection","developers building Claude integrations that need project context","teams implementing security-conscious AI tooling with principle of least privilege"],"limitations":["Read-only access by default — no write operations without separate capability","Path traversal protection relies on normalization logic which may have edge cases with symlinks","File size limits may truncate large files, requiring pagination or chunking strategies","No built-in caching — repeated reads of same file incur full I/O cost"],"requires":["Node.js 18+ (MCP SDK requirement)","@modelcontextprotocol/sdk package","MCP client implementation (Claude Desktop, custom agent, etc.)","Filesystem permissions to read target directories on host machine"],"input_types":["file paths (string)","directory paths (string)","optional encoding specification (utf-8, binary, etc.)"],"output_types":["file contents (string or binary)","file metadata (size, modified time, permissions)","directory listings (structured JSON with file names and types)"],"categories":["tool-use-integration","security-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-filesystem__cap_1","uri":"capability://tool.use.integration.directory.tree.traversal.and.listing","name":"directory-tree-traversal-and-listing","description":"Recursively enumerates directory structures with configurable depth limits and filtering, returning hierarchical file listings with metadata (type, size, modification time). Uses filesystem stat calls to build tree representations and applies ignore patterns (e.g., .gitignore-style rules) to exclude files from enumeration. Supports both shallow single-level listings and deep recursive traversals with configurable max-depth to prevent performance degradation on large codebases.","intents":["I want to give an AI agent a complete map of my project structure so it understands the codebase layout","I need to list all files matching certain patterns (e.g., all .ts files) within a directory tree","I want to exclude build artifacts and node_modules from filesystem visibility to reduce context noise"],"best_for":["code analysis agents that need project structure awareness","developers building IDE-like features for LLM applications","teams using AI for codebase documentation or refactoring tasks"],"limitations":["Deep recursion on large monorepos (100k+ files) may cause performance issues or memory exhaustion","Ignore pattern matching is basic — does not support full .gitignore syntax complexity","Symlinks are followed by default, potentially causing infinite loops if circular links exist","No pagination — entire tree returned in single response, limiting scalability for huge directories"],"requires":["Node.js 18+","Read permissions on target directory and all subdirectories","MCP client capable of handling potentially large JSON responses"],"input_types":["directory path (string)","max depth (integer, optional)","ignore patterns (array of strings, optional)"],"output_types":["directory tree (nested JSON structure)","file list with metadata (name, type, size, mtime)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-filesystem__cap_2","uri":"capability://tool.use.integration.mcp.protocol.transport.abstraction","name":"mcp-protocol-transport-abstraction","description":"Abstracts filesystem operations behind the Model Context Protocol (MCP), enabling any MCP-compatible client (Claude, custom agents, etc.) to invoke filesystem capabilities through standardized JSON-RPC messages over stdio, HTTP, or WebSocket transports. The server implements MCP resource and tool schemas that define available operations, their parameters, and response formats, allowing clients to discover capabilities via introspection and invoke them with type-safe argument passing.","intents":["I want to expose filesystem access to Claude Desktop or other MCP clients without custom integration code","I need a standardized way for multiple AI agents to access the same filesystem resources","I want to build a filesystem service that works with any MCP-compatible tool or framework"],"best_for":["developers integrating Claude with local filesystem access","teams building multi-agent systems with shared resource access","organizations standardizing on MCP for AI tool integration"],"limitations":["MCP protocol overhead adds latency compared to direct library calls (~50-200ms per request)","Client must implement MCP protocol — not compatible with non-MCP tools","Transport layer (stdio, HTTP) may have bandwidth limitations for large file transfers","No built-in authentication — relies on process isolation and network access controls"],"requires":["Node.js 18+","@modelcontextprotocol/sdk package","MCP client implementation","Transport mechanism (stdio for CLI, HTTP server for network access)"],"input_types":["MCP JSON-RPC requests (method, params)","resource URIs (filesystem://path format)","tool invocation payloads"],"output_types":["MCP JSON-RPC responses (result or error)","resource content (text or binary)","tool execution results"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-filesystem__cap_3","uri":"capability://tool.use.integration.configurable.root.directory.isolation","name":"configurable-root-directory-isolation","description":"Restricts filesystem access to one or more configured root directories through configuration-time specification of allowed paths. The server validates all requested file paths against these roots using path normalization (resolving .. and . components) and ensures requests cannot escape the sandbox via symlinks or path manipulation. Multiple roots can be configured to expose different project directories or mount points, each independently validated and isolated.","intents":["I want to expose only my project directory to an AI agent, not my entire home directory","I need to give different agents access to different parts of my filesystem (e.g., one for source code, one for docs)","I want to prevent accidental or malicious access to sensitive system files or credentials"],"best_for":["security-conscious developers deploying AI agents in production","teams with multi-tenant or multi-project setups","organizations with compliance requirements for data access control"],"limitations":["Configuration is static at server startup — cannot dynamically add/remove roots without restart","Symlink handling may still allow escape if symlinks point outside roots (requires careful OS-level permissions)","Path normalization edge cases on Windows with UNC paths or case-insensitive filesystems","No per-client or per-request access control — all authenticated clients see same roots"],"requires":["Node.js 18+","Configuration file or environment variables specifying root directories","Filesystem permissions to read specified root directories"],"input_types":["root directory paths (string array, from config)","requested file paths (string, from client)"],"output_types":["validation result (boolean)","normalized path (string)","access denied error (if path outside roots)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-filesystem__cap_4","uri":"capability://tool.use.integration.file.content.streaming.with.encoding.handling","name":"file-content-streaming-with-encoding-handling","description":"Reads file contents and streams them through the MCP protocol with automatic encoding detection and conversion. Handles both text files (UTF-8, ASCII, etc.) and binary files, with configurable size limits to prevent memory exhaustion from huge files. Implements chunked reading for large files and provides encoding metadata in responses, allowing clients to properly interpret file contents regardless of source encoding.","intents":["I want an AI agent to read source code files and understand their content","I need to handle both text and binary files (images, PDFs, etc.) through the same interface","I want to safely read large files without loading them entirely into memory"],"best_for":["code analysis and understanding agents","document processing workflows","developers building file inspection tools for LLMs"],"limitations":["Large files (>10MB) may be truncated or require multiple requests to fully read","Binary file handling is limited — returns base64 encoding which increases payload size by 33%","Encoding detection is heuristic-based and may fail for unusual or mixed-encoding files","No streaming response format — entire file content returned in single MCP message"],"requires":["Node.js 18+","File must be readable by server process","MCP client capable of handling potentially large text/binary payloads"],"input_types":["file path (string)","optional encoding specification (string)"],"output_types":["file contents (string for text, base64 for binary)","encoding metadata (detected or specified)","file size (bytes)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-filesystem__cap_5","uri":"capability://tool.use.integration.mcp.resource.definition.and.discovery","name":"mcp-resource-definition-and-discovery","description":"Defines filesystem paths as MCP resources with standardized schemas, enabling clients to discover available files and directories through MCP introspection. Resources are registered with URIs (e.g., filesystem://project/src/index.ts) and metadata, allowing clients to query what resources exist and their properties without making individual file requests. Implements MCP resource listing endpoints that return available resources with filtering and pagination support.","intents":["I want Claude to discover what files are available in my project without me having to tell it explicitly","I need to expose a curated set of files as resources that agents can reference by URI","I want clients to introspect available filesystem resources before making access requests"],"best_for":["developers building discoverable AI interfaces","teams using Claude with project-aware context","systems requiring explicit resource enumeration for security or auditing"],"limitations":["Resource discovery requires full directory traversal — expensive for large codebases","Resource URIs are static and must be pre-registered or generated at startup","No dynamic resource generation — cannot create resources on-demand based on client requests","Pagination of resource lists may be incomplete if directory changes during enumeration"],"requires":["Node.js 18+","@modelcontextprotocol/sdk with resource support","MCP client implementing resource discovery"],"input_types":["resource URI pattern (string)","optional filter criteria (object)"],"output_types":["resource list (array of resource objects with URI, name, type, metadata)","resource details (URI, MIME type, size, modification time)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ (MCP SDK requirement)","@modelcontextprotocol/sdk package","MCP client implementation (Claude Desktop, custom agent, etc.)","Filesystem permissions to read target directories on host machine","Node.js 18+","Read permissions on target directory and all subdirectories","MCP client capable of handling potentially large JSON responses","MCP client implementation","Transport mechanism (stdio for CLI, HTTP server for network access)","Configuration file or environment variables specifying root directories"],"failure_modes":["Read-only access by default — no write operations without separate capability","Path traversal protection relies on normalization logic which may have edge cases with symlinks","File size limits may truncate large files, requiring pagination or chunking strategies","No built-in caching — repeated reads of same file incur full I/O cost","Deep recursion on large monorepos (100k+ files) may cause performance issues or memory exhaustion","Ignore pattern matching is basic — does not support full .gitignore syntax complexity","Symlinks are followed by default, potentially causing infinite loops if circular links exist","No pagination — entire tree returned in single response, limiting scalability for huge directories","MCP protocol overhead adds latency compared to direct library calls (~50-200ms per request)","Client must implement MCP protocol — not compatible with non-MCP tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7661123449825045,"quality":0.22,"ecosystem":0.3,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:31.758Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":338479,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-modelcontextprotocolserver-filesystem","compare_url":"https://unfragile.ai/compare?artifact=npm-modelcontextprotocolserver-filesystem"}},"signature":"+pe9OC+Jzbd+sAt8sfZCf5YedfekWKoffbnmVhpzy8wtRAQRu6B1xueakHWL0DQzrNzjM7k9MDEMoCl5XafkCQ==","signedAt":"2026-06-21T23:29:35.593Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-modelcontextprotocolserver-filesystem","artifact":"https://unfragile.ai/npm-modelcontextprotocolserver-filesystem","verify":"https://unfragile.ai/api/v1/verify?slug=npm-modelcontextprotocolserver-filesystem","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}