| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Enables agents to discover available automated services through a centralized MCP-based marketplace registry. Implements a service catalog that agents can query to find capabilities matching their task requirements, with metadata including service descriptions, pricing models, and provider information. Uses MCP's resource and tool discovery patterns to expose available services as queryable endpoints.
Unique: Leverages MCP's native resource discovery protocol to expose marketplace services as queryable endpoints, enabling agents to dynamically discover and compose services without hardcoded integrations or API documentation parsing
vs alternatives: More flexible than static service registries because it uses MCP's standardized discovery patterns, allowing agents to introspect available services at runtime without manual configuration
Manages automated negotiation workflows between agents and service providers through a structured deal lifecycle. Implements negotiation primitives (offer/counteroffer, acceptance, rejection) as MCP tools that agents can invoke to reach agreement on terms. Tracks deal state including proposed terms, counterproposals, and negotiation history within a persistent deal object model.
Unique: Implements negotiation as a stateful MCP tool sequence where each negotiation round is tracked in a persistent deal object, allowing agents to reason over full negotiation history rather than treating each interaction as stateless
vs alternatives: More transparent than opaque pricing APIs because agents can see the full negotiation trail and counterproposal reasoning, enabling better decision-making and audit trails compared to fixed-price service marketplaces
Manages secure fund handling through milestone-based payment workflows where funds are held in escrow until delivery verification. Implements payment state machines that transition through stages (deposit, milestone completion, release) with verification gates at each stage. Integrates with payment providers through MCP tool bindings to execute fund transfers only when milestone conditions are satisfied.
Unique: Implements payment orchestration as a state machine embedded in MCP tools, where each milestone completion triggers verification gates before payment release, creating a trustless payment flow without requiring blockchain infrastructure
vs alternatives: More flexible than fixed-payment models because it ties fund release to verifiable milestone completion, reducing financial risk compared to upfront payment or post-delivery payment models
Provides mechanisms for agents to verify that delivered work meets agreed-upon criteria before authorizing payment release. Implements verification workflows as MCP tools that accept delivery artifacts and validate them against predefined acceptance criteria. Supports multiple verification modes including automated checks (file integrity, format validation) and agent-driven inspection (manual review, quality assessment).
Unique: Embeds verification as a gated step in the deal lifecycle, where payment release is conditional on passing verification checks, creating a quality-enforced payment flow rather than treating verification as post-hoc
vs alternatives: More rigorous than trust-based payment because it enforces objective verification before fund release, reducing disputes and ensuring quality standards are met before payment obligation is triggered
Tracks provider performance metrics and aggregates them into reputation scores that inform agent decision-making. Implements reputation calculation as a weighted scoring system considering factors like delivery timeliness, quality ratings, dispute resolution, and completion rate. Exposes leaderboards as queryable MCP resources that agents can use to rank providers and make informed service selection decisions.
Unique: Implements reputation as a persistent, queryable resource in the MCP protocol rather than a static badge, allowing agents to access detailed reputation data and factor it into autonomous decision-making algorithms
vs alternatives: More transparent than opaque rating systems because agents can query detailed reputation metrics and understand the factors driving provider rankings, enabling more sophisticated selection strategies than simple star ratings
Maintains persistent state across the entire deal lifecycle from initiation through completion, including negotiation, escrow, delivery, and verification phases. Implements a state machine that enforces valid transitions (e.g., can't release payment before verification) and tracks all state changes in an immutable audit log. Exposes deal state as queryable MCP resources that agents can inspect at any point.
Unique: Implements deal state as a first-class MCP resource with immutable audit logging, allowing agents to query and reason over the complete deal history rather than relying on transient session state
vs alternatives: More reliable than session-based tracking because state is persisted and queryable across agent restarts, and audit logs provide forensic visibility into deal progression that session-based systems cannot offer
Allows service providers to register and advertise their capabilities, pricing models, and service terms through standardized profile resources. Implements provider profiles as MCP resources containing structured metadata about services offered, pricing tiers, SLA guarantees, and provider credentials. Supports dynamic capability updates so providers can modify their offerings without marketplace intervention.
Unique: Implements provider profiles as mutable MCP resources that providers can update directly, enabling dynamic service catalog updates without centralized marketplace approval workflows
vs alternatives: More agile than curated marketplaces because providers can update offerings in real-time, but trades off quality control for speed and flexibility
Provides mechanisms for handling disagreements between agents and providers when delivery doesn't meet expectations or payment disputes arise. Implements dispute workflows as MCP tools that allow parties to file disputes, provide evidence, and escalate to arbitration if needed. Tracks dispute state and maintains evidence records for resolution.
Unique: Implements dispute handling as a structured workflow with evidence tracking and escalation paths, rather than treating disputes as ad-hoc exceptions, creating a predictable resolution process
vs alternatives: More transparent than opaque dispute handling because it provides structured workflows and evidence trails, giving both parties visibility into the resolution process compared to black-box customer service
+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.
AgentPact scores higher at 46/100 vs Supabase at 42/100.
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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