| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Intercepts MCP (Model Context Protocol) tool invocations and wraps them in Sigil Intent Attestations, a cryptographic attestation layer that verifies the intent and authorization of tool calls before execution. This works by hooking into the MCP tool registry, capturing tool call metadata (name, arguments, context), generating attestation signatures, and validating them against a Sigil policy engine before delegating to the underlying tool implementation.
Unique: Implements attestation-based tool access control at the MCP protocol layer using Sigil Intent Attestations, a cryptographic framework that binds tool invocations to agent identity and intent — rather than relying on coarse-grained API keys or role-based access control, it validates the semantic intent of each tool call
vs alternatives: Provides finer-grained security than standard MCP server authentication (which typically uses API keys) by cryptographically verifying agent intent for each tool call, preventing prompt injection and unauthorized tool use even if an agent has general MCP access
Acts as a transparent proxy layer between MCP clients (LLM agents, applications) and MCP tool servers, intercepting all tool calls at the protocol level and injecting attestation validation logic without requiring changes to the underlying tool implementations. The proxy parses incoming MCP messages, extracts tool call metadata, validates attestations against Sigil policies, and either forwards the call to the tool server or rejects it with detailed error information.
Unique: Implements MCP as a transparent proxy middleware that validates attestations at the protocol level without requiring tool server modifications, using a stateless architecture that can be deployed as a sidecar or centralized service in front of multiple MCP servers
vs alternatives: Simpler to deploy than modifying each tool server individually, and more flexible than embedding attestation logic directly in tools since policies can be updated without redeploying tool code
Validates cryptographic Sigil Intent Attestations embedded in or accompanying MCP tool calls, verifying that the attestation signature is valid, the agent identity matches the policy, and the tool/argument combination is authorized. This involves signature verification using public keys, policy lookup and evaluation, timestamp validation to prevent replay attacks, and detailed error reporting if validation fails.
Unique: Implements cryptographic attestation validation using Sigil Intent Attestations, which bind agent identity, tool intent, and authorization in a single cryptographic token — rather than relying on separate authentication and authorization layers, it validates intent and authorization together
vs alternatives: More robust than API key-based authorization because attestations are cryptographically signed and include agent identity and intent, making them resistant to key theft and enabling fine-grained policy enforcement without requiring a separate authorization service
Captures and binds agent identity (who is calling the tool) and intent (what the agent intends to accomplish) into Sigil attestations that accompany each MCP tool call. This works by extracting agent metadata from the MCP context, generating a cryptographic commitment to the tool call parameters and intent, signing it with the agent's key, and embedding the attestation in the MCP message so the tool server can verify it.
Unique: Binds agent identity and intent into cryptographic attestations at the MCP protocol level, creating a non-repudiation mechanism where agents cannot deny making tool calls and intent is cryptographically committed before execution
vs alternatives: Stronger accountability than logging-based approaches because attestations are cryptographically signed by the agent, making them tamper-proof and suitable for compliance audits; more fine-grained than role-based access control because it includes agent intent
Evaluates Sigil attestations against a policy engine that defines which agents can call which tools with which parameters. The policy engine looks up policies by agent ID and tool name, checks if the attestation matches the policy requirements (e.g., specific argument values, time-based restrictions), and either allows or denies the tool call. Policies are typically defined in a declarative format (JSON, YAML) and can include conditions like 'only Agent A can call database_write', 'Agent B can only call read_only tools', or 'this tool can only be called between 9am-5pm'.
Unique: Implements policy-based access control at the MCP protocol level using Sigil attestations as the authorization token, allowing fine-grained policies to be defined and updated independently of tool server code
vs alternatives: More flexible than hardcoded authorization checks in tool servers because policies are externalized and can be updated without redeploying; more expressive than simple role-based access control because policies can include parameter-level restrictions and context-based conditions
Automatically logs all tool invocations that pass through the MCP proxy, capturing agent identity, tool name, arguments, attestation status, policy evaluation result, timestamp, and execution result. Logs are structured (JSON format) and include enough detail for compliance audits, forensic analysis, and debugging. The logging system can be configured to write to files, databases, or external logging services.
Unique: Provides automatic, structured audit logging at the MCP protocol level with cryptographic attestation validation results, enabling compliance-grade audit trails without requiring changes to tool servers or agents
vs alternatives: More comprehensive than tool-level logging because it captures all tool invocations in a centralized location with consistent formatting; more trustworthy than agent-side logging because the proxy is outside the agent's control
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 @sigilcore/mcp-proxy at 20/100.
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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
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