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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Parses MCP (Model Context Protocol) tool manifests in JSON/YAML format to extract tool definitions, input schemas, and capability metadata. Uses schema introspection to build an intermediate representation of tool capabilities that can be compiled into sandbox policies. Handles nested JSON schemas with support for complex type definitions and validation constraints.
Unique: Specifically designed for MCP protocol manifests rather than generic JSON schema parsing — understands MCP-specific tool capability semantics and can extract security-relevant metadata like resource access patterns and parameter constraints
vs alternatives: Purpose-built for MCP tool analysis where generic schema validators would miss MCP-specific capability boundaries needed for sandbox policy generation
Compiles extracted MCP tool capabilities into concrete sandbox enforcement policies by mapping tool operations to system-level restrictions. Generates bwrap (bubblewrap) configuration, egress rules, and filesystem access policies based on tool input/output schemas and declared resource requirements. Uses capability analysis to determine minimum required permissions and generates deny-by-default policies with explicit allow lists.
Unique: Automatically derives sandbox policies from tool capability declarations rather than requiring manual security configuration — uses schema analysis to determine what system resources each tool actually needs, then generates deny-by-default policies with minimal allow lists
vs alternatives: Eliminates manual sandbox policy authoring by inferring restrictions from tool manifests, whereas traditional approaches require security engineers to manually write bwrap configs and firewall rules for each tool
Generates bubblewrap (bwrap) sandbox configurations from capability policies, creating isolated execution environments with restricted filesystem access, network isolation, and process constraints. Translates abstract capability restrictions into concrete bwrap command-line arguments and configuration files, handling mount point mapping, read-only filesystem layers, and capability dropping. Supports both inline argument generation and persistent configuration file output.
Unique: Generates bwrap configs directly from MCP capability declarations rather than requiring manual bwrap argument construction — abstracts away bwrap's complex command-line interface and mount point semantics
vs alternatives: Provides higher-level abstraction over raw bwrap than shell scripts or manual config, enabling declarative sandbox policies that can be version-controlled and audited
Generates network egress rules (firewall rules, iptables configurations, or cloud-native network policies) that restrict outbound network access based on tool capabilities. Analyzes tool schemas to identify which external services or APIs each tool needs to contact, then generates minimal allow-list rules that permit only necessary egress traffic. Supports multiple policy backends including iptables, nftables, and Kubernetes NetworkPolicy formats.
Unique: Derives network policies from tool capability declarations rather than requiring manual firewall rule authoring — analyzes tool schemas to determine necessary external service access and generates minimal allow-list rules
vs alternatives: Automates egress rule generation from tool definitions where manual firewall configuration would require security engineers to understand each tool's network dependencies
Translates compiled capability policies into multiple sandbox policy formats and backends, enabling deployment across heterogeneous infrastructure. Supports output to bwrap configurations, iptables/nftables rules, Kubernetes NetworkPolicy manifests, and custom policy formats. Uses a backend-agnostic intermediate representation that can be serialized to any target format, allowing single policy definitions to target multiple enforcement mechanisms.
Unique: Provides unified policy compilation that targets multiple sandbox backends from a single tool manifest — uses intermediate representation to abstract away backend-specific details
vs alternatives: Eliminates need to maintain separate policy definitions for each backend, whereas traditional approaches require writing bwrap configs, iptables rules, and Kubernetes policies independently
Validates that generated sandbox policies actually enforce the intended capability restrictions by analyzing policy rules against tool capability declarations. Performs static verification that policies don't grant unintended permissions, checks for gaps in coverage (capabilities without corresponding restrictions), and validates policy syntax for target backends. Uses policy analysis to detect overly permissive rules and suggest tighter restrictions.
Unique: Performs automated verification that generated policies match tool capability declarations — detects overly permissive rules and coverage gaps that manual policy review might miss
vs alternatives: Provides automated policy audit where manual review would be error-prone and time-consuming, enabling continuous policy verification in CI/CD
Normalizes and canonicalizes MCP tool manifests to a standard internal representation, handling variations in schema format, version differences, and optional field defaults. Resolves schema references, expands nested definitions, and validates against MCP specification. Produces a canonical form suitable for policy compilation, enabling consistent policy generation regardless of manifest source or format variations.
Unique: Specifically normalizes MCP manifests rather than generic JSON schemas — understands MCP-specific semantics and produces canonical forms suitable for policy compilation
vs alternatives: Handles MCP-specific format variations where generic schema normalizers would fail to understand MCP capability semantics
Enables declarative composition of sandbox policies through inheritance and mixins, allowing policy templates to be defined once and reused across multiple tools. Supports policy composition rules that combine base policies with tool-specific overrides, enabling consistent policy patterns across tool families. Uses composition semantics to merge policies while detecting conflicts and maintaining least-privilege principles.
Unique: Provides declarative policy composition with inheritance semantics specifically for sandbox policies — enables policy reuse and consistency across tool fleets
vs alternatives: Eliminates policy duplication by enabling template-based composition where manual policy authoring would require writing similar rules for each tool
+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 capgate at 24/100.
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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