| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes local filesystem operations as standardized MCP resources and tools, allowing Claude and other MCP-compatible clients to read, list, and traverse directory structures without direct OS access. Implements the Model Context Protocol specification to bridge filesystem I/O into LLM context windows through a server-client architecture, enabling safe sandboxed file access with configurable permissions boundaries.
Unique: Implements MCP protocol specification to provide standardized filesystem access, allowing any MCP-compatible client (not just Claude) to safely interact with local files through a well-defined resource/tool interface rather than shell commands or direct API calls
vs alternatives: More secure and standardized than shell-based file access (no command injection risk) and more flexible than hardcoded file upload mechanisms, as it allows dynamic exploration and reading of filesystem structures in real-time
Provides recursive directory listing and file discovery capabilities through MCP tools, allowing clients to explore filesystem hierarchies, filter by file type/pattern, and retrieve metadata (size, modification time, permissions) for each entry. Implements efficient directory traversal using native OS APIs (fs.readdir, os.scandir) with optional depth limiting and pattern matching to prevent runaway queries on large directory trees.
Unique: Exposes directory traversal as MCP resources rather than requiring shell commands, enabling safe, structured exploration of filesystem hierarchies with built-in depth limiting and pattern filtering to prevent context explosion
vs alternatives: Safer and more context-efficient than shell-based find/ls commands (no injection risk, structured output) and more discoverable than requiring users to manually specify file paths
Reads file contents through MCP tools with automatic encoding detection (UTF-8, ASCII, binary) and optional base64 encoding for binary files, allowing clients to safely retrieve and process file contents regardless of format. Uses native file I/O APIs with streaming support for large files and configurable size limits to prevent memory exhaustion or context window overflow.
Unique: Implements automatic encoding detection and base64 fallback for binary files within the MCP protocol, allowing seamless handling of mixed text/binary content without requiring clients to specify encoding or handle conversion logic
vs alternatives: More robust than simple UTF-8 reading (handles binary and mixed-encoding files) and more efficient than requiring separate encoding-detection tools or manual client-side conversion
Enables MCP clients to create, write, and modify files on the local filesystem through standardized MCP tools, with support for atomic writes, permission preservation, and optional backup creation before overwriting. Implements write operations using temporary file + rename pattern to ensure atomicity and prevent partial writes on failure, with configurable path restrictions to prevent directory traversal attacks.
Unique: Implements atomic file writes using temp-file-plus-rename pattern within MCP protocol, preventing partial writes and corruption while maintaining compatibility with any MCP client without requiring client-side transaction logic
vs alternatives: More reliable than direct file writes (prevents partial corruption) and more flexible than shell-based redirection (supports binary content, encoding specification, and atomic guarantees)
Provides MCP tools for safe file and directory deletion with optional recursive directory removal, trash/recycle bin integration (where available), and configurable safety checks (confirmation prompts, size limits, pattern restrictions). Implements deletion using OS-native APIs with optional soft-delete to recycle bin rather than permanent removal, preventing accidental data loss from AI-generated commands.
Unique: Integrates optional recycle bin/trash support within MCP protocol, allowing safe soft-delete operations that can be recovered without requiring client-side undo logic or external backup systems
vs alternatives: Safer than shell rm commands (supports recycle bin, configurable protections) and more flexible than permanent deletion, enabling AI agents to clean up files without risk of permanent data loss
Exposes file and directory metadata (size, modification time, creation time, permissions, ownership) through MCP tools, allowing clients to inspect file properties without reading contents. Uses native OS stat APIs to retrieve metadata efficiently with support for both POSIX and Windows permission models, enabling permission-aware operations and file age-based filtering.
Unique: Exposes OS-level file metadata through MCP protocol with cross-platform abstraction, allowing clients to make informed decisions about file operations without requiring direct OS API knowledge or platform-specific logic
vs alternatives: More efficient than reading file contents to determine properties (no I/O overhead) and more standardized than shell stat commands (structured output, cross-platform compatibility)
Implements path validation and normalization within MCP tools to prevent directory traversal attacks (e.g., ../../../etc/passwd), symlink escapes, and invalid path constructs. Uses configurable path whitelisting/blacklisting with support for glob patterns, ensuring that all filesystem operations stay within designated safe directories and preventing access to sensitive system paths.
Unique: Implements server-side path validation with configurable glob-based whitelisting/blacklisting within MCP protocol, preventing directory traversal and symlink escape attacks without requiring client-side security logic
vs alternatives: More secure than relying on client-side validation (server-enforced boundaries) and more flexible than hardcoded root directory restrictions (supports pattern-based allow/deny lists)
Exposes filesystem operations as standardized MCP resources and tools with JSON Schema definitions, allowing MCP clients to discover available operations, required parameters, and expected outputs through the MCP protocol's introspection mechanism. Implements schema generation that describes each filesystem operation (read, write, delete, list) with parameter types, constraints, and descriptions, enabling clients to build dynamic UIs or validate requests before sending.
Unique: Implements full MCP protocol schema exposure for filesystem operations, allowing clients to discover and validate operations through standard JSON Schema rather than hardcoded knowledge of available tools
vs alternatives: More discoverable than undocumented tool APIs (clients can introspect at runtime) and more flexible than static documentation (schema is machine-readable and enables dynamic client behavior)
+2 more capabilities
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs filesystem-mcp-server at 28/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
+1 more capabilities