| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements a forward-only relay pattern where MCP clients invoke paid tools without pre-funding. When an agent calls a gated tool lacking an X-PAYMENT header, the server returns the upstream HTTP 402 response with an accept-list (payment terms, amount, recipient address) verbatim. The agent's wallet signs the payment in USDC on Base, includes the signature in X-PAYMENT header, and retries. The server never custodies funds — it validates signatures and forwards authenticated requests upstream. This enables pay-per-call microtransactions (0.005–0.25 USDC) without wallet pre-setup or escrow.
Unique: Uses HTTP 402 as a first-class MCP integration pattern with agent-side wallet signing, avoiding custody and enabling true pay-per-call without pre-funding. The forward-only relay design passes payment terms verbatim from upstream, making the server stateless and composable.
vs alternatives: Unlike API key rate-limiting or subscription models, this enables true micropayments with zero custody risk and transparent per-call pricing visible to agents at runtime.
Provides a free, rule-based security audit for Solana wallets by analyzing on-chain activity patterns and account state. The audit applies a hardcoded ruleset (included in the MCP server) to detect common vulnerabilities: token account misconfigurations, suspicious delegation patterns, exposure to known malicious programs, and balance anomalies. Results are returned as structured findings with severity levels. This is the only free tool in the suite; others are gated behind x402 payments.
Unique: Embedded rule-based audit engine that runs locally on the MCP server without external API calls, making it fast and free. Rules are transparent and forkable — users can customize the ruleset for their own threat model.
vs alternatives: Faster and cheaper than calling external security APIs; no per-call cost and no dependency on third-party services, making it suitable for high-frequency agent audits.
Scans a Solana wallet's transaction history, token balances, and account state by querying the Solana RPC API. Returns structured data including recent transactions, token holdings, SOL balance, and account metadata. The tool abstracts RPC complexity behind a simple wallet address input, handling pagination and data aggregation internally. Results are cached implicitly by the RPC provider but not by the MCP server itself.
Unique: Exposes Solana RPC queries through an MCP interface with payment gating, allowing agents to access wallet data on-demand without managing RPC connections directly. The tool abstracts RPC pagination and error handling.
vs alternatives: Simpler than direct RPC integration for agents; payment gating ensures fair usage and monetizes access to wallet data queries.
Checks if an email address or password has appeared in known data breaches by querying the Have I Been Pwned (HIBP) API. The MCP server acts as a relay, forwarding requests to HIBP and returning breach records with metadata (breach name, date, compromised data types). Requests are gated behind x402 payments to monetize access to the HIBP service.
Unique: Wraps HIBP API access in an MCP interface with x402 payment gating, allowing agents to monetize breach-checking queries. The relay pattern keeps the MCP server stateless.
vs alternatives: Enables agents to access HIBP data without managing API keys directly; payment gating ensures fair usage and monetizes the integration.
Calculates optimal Jito tips for Solana transactions based on current network congestion and MEV conditions. The tool queries Jito's tip API to fetch current tip percentiles and returns a recommendation (in lamports or USDC) for a given transaction size. This enables agents to optimize transaction inclusion probability without overpaying for tips.
Unique: Exposes Jito's tip API through MCP with real-time network condition analysis, allowing agents to make dynamic transaction optimization decisions. The tool abstracts Jito API complexity behind a simple input/output interface.
vs alternatives: Simpler than direct Jito API integration for agents; payment gating monetizes access to real-time tip data.
Analyzes a GitHub repository and returns a health score based on metrics: commit frequency, issue resolution time, test coverage, documentation completeness, and dependency freshness. The tool queries the GitHub API to fetch repository metadata, recent commits, issues, and workflows, then applies a weighted scoring algorithm. Results include the overall health score (0-100) and component breakdowns.
Unique: Implements a multi-dimensional health scoring algorithm that combines commit frequency, issue resolution, test coverage, and dependency freshness into a single score. The tool abstracts GitHub API complexity and provides actionable metrics.
vs alternatives: More comprehensive than simple star counts or last-commit checks; provides actionable health metrics that agents can use for decision-making.
Fetches economic time-series data from the Federal Reserve Economic Data (FRED) API, including GDP, inflation, unemployment, and interest rates. The tool accepts a FRED series ID and returns historical data points with dates and values. Results can be aggregated (mean, median, latest) or returned as full time-series for agent-side analysis.
Unique: Exposes FRED API through MCP with optional aggregation and time-range filtering, allowing agents to incorporate macro data into decision-making without managing API keys. The tool abstracts FRED's query complexity.
vs alternatives: Simpler than direct FRED API integration for agents; payment gating monetizes access to economic data queries.
Queries the Drift Protocol (a Solana perpetual futures platform) to retrieve a wallet's open positions, collateral, and leverage exposure. The tool fetches position data from Drift's on-chain state and returns structured position information including entry price, current price, PnL, and liquidation risk. This enables agents to monitor trading positions and assess liquidation risk in real-time.
Unique: Integrates with Drift Protocol's on-chain state to provide real-time position and liquidation risk analysis. The tool abstracts Drift's complex state structure and provides actionable position metrics.
vs alternatives: Direct on-chain integration provides real-time data without relying on external indexing services; payment gating monetizes access to Drift position queries.
+1 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 cipher-x402-mcp at 34/100.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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