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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Enables semantic queries against blockchain state across 2000+ EVM and non-EVM chains through a unified query interface. The MCP server abstracts chain-specific RPC endpoints and data formats, translating natural language or structured queries into chain-native calls (eth_call, eth_getLogs, contract state reads) and normalizing responses into consistent JSON structures. Supports batch querying across multiple chains simultaneously with automatic failover to alternative RPC providers.
Unique: Abstracts 2000+ chain RPC endpoints behind a single MCP interface with automatic chain detection and provider failover, rather than requiring developers to manage individual RPC connections per chain. Uses Thirdweb's unified SDK to normalize ABI decoding and state reading across EVM and non-EVM chains.
vs alternatives: Covers 2000+ chains vs. competitors like Alchemy (limited to ~20 chains) and The Graph (requires subgraph deployment per chain), with zero infrastructure setup required.
Deploys compiled smart contracts to any of 2000+ blockchains and generates type-safe contract interaction methods through ABI parsing. The MCP server accepts contract bytecode, constructor arguments, and deployment parameters, submits transactions to the target chain, and returns deployment receipts with contract addresses. Post-deployment, it provides function calling capabilities that encode contract calls, estimate gas, and execute read/write operations with automatic nonce management and transaction signing delegation.
Unique: Provides unified contract deployment and interaction across 2000+ chains through a single MCP interface, with automatic ABI decoding and gas estimation. Delegates signing to external wallets rather than managing keys, enabling secure integration with hardware wallets and custodial services.
vs alternatives: Supports 2000+ chains vs. Hardhat (single-chain focus) and Foundry (CLI-only, no programmatic API), with built-in multi-chain abstraction and AI-friendly structured outputs.
Analyzes deployed smart contracts by fetching and parsing their ABIs from on-chain sources (contract creation bytecode, verified sources on block explorers) or user-provided ABI JSON. Generates human-readable contract documentation including function signatures, state variables, events, and access control patterns. Supports ABI comparison across contract versions and chain deployments to identify breaking changes or inconsistencies.
Unique: Provides unified ABI parsing and contract analysis across 2000+ chains with automatic source fetching from block explorers. Generates AI-friendly structured outputs (JSON) rather than raw ABI, enabling LLMs to reason about contract capabilities without additional parsing.
vs alternatives: Covers 2000+ chains vs. Etherscan API (limited to Ethereum ecosystem) and Alchemy's Enhanced API (requires separate API calls per chain), with built-in multi-chain abstraction and AI-optimized output formats.
Executes blockchain transactions (contract calls, token transfers, custom payloads) with automatic nonce management, gas estimation, and receipt polling. The MCP server accepts transaction parameters (to, data, value), submits them to the target chain, and monitors confirmation status with configurable polling intervals. Supports transaction batching and multi-step workflows where subsequent transactions depend on prior confirmations. Integrates with external signers (wallets, key management services) for transaction authorization.
Unique: Provides unified transaction execution across 2000+ chains with automatic nonce management and gas estimation, delegating signing to external wallets rather than managing keys. Includes built-in receipt polling and confirmation monitoring with configurable retry logic.
vs alternatives: Abstracts chain-specific transaction mechanics vs. raw RPC calls, with automatic gas estimation and confirmation monitoring built-in. Supports 2000+ chains vs. single-chain libraries like ethers.js or web3.py.
Fetches token and NFT metadata, ownership, and transfer history across 2000+ blockchains through a unified interface. The MCP server queries contract state and event logs to retrieve token balances, allowances, NFT ownership, and collection metadata. Supports batch queries for multiple tokens/NFTs and automatic metadata enrichment from IPFS and external sources. Handles both standard (ERC-20, ERC-721, ERC-1155) and non-standard token implementations with fallback strategies.
Unique: Provides unified token and NFT data retrieval across 2000+ chains with automatic standard detection (ERC-20, ERC-721, ERC-1155) and fallback strategies for non-standard implementations. Includes built-in metadata enrichment from IPFS and external sources without requiring separate API calls.
vs alternatives: Covers 2000+ chains vs. Moralis (limited to ~20 chains) and The Graph (requires subgraph deployment), with zero infrastructure setup and automatic metadata enrichment.
Manages the MCP server's initialization, configuration, and resource lifecycle through standard MCP protocol handlers. The server exposes configuration endpoints for setting API keys, RPC endpoints, and chain preferences. Implements automatic health checks and provider failover logic to ensure reliable blockchain connectivity. Supports dynamic reconfiguration without server restart, enabling AI agents to switch chains or update credentials at runtime.
Unique: Implements MCP protocol handlers for server lifecycle management with automatic provider failover and dynamic reconfiguration support. Exposes health checks and configuration endpoints that enable AI agents to monitor and adjust blockchain connectivity at runtime.
vs alternatives: Provides MCP-native configuration management vs. environment variables or config files, enabling AI agents to dynamically adjust settings without server restart. Includes automatic failover logic vs. manual provider management.
Routes transactions across multiple blockchains and optimizes execution based on gas prices, liquidity, and confirmation times. The MCP server analyzes transaction parameters (amount, token, destination) and recommends the most cost-effective chain for execution. Supports bridge-assisted transactions where assets are moved across chains before execution. Includes gas price forecasting and dynamic fee adjustment to minimize transaction costs.
Unique: Analyzes gas prices, liquidity, and confirmation times across 2000+ chains to recommend optimal execution routes. Includes bridge-assisted transaction routing and dynamic fee adjustment, enabling cost-optimized cross-chain execution without manual chain selection.
vs alternatives: Provides automated cross-chain routing vs. manual chain selection, with gas optimization and bridge integration built-in. Covers 2000+ chains vs. single-chain optimizers like MEV-Inspect (Ethereum-only).
Queries and decodes smart contract events across 2000+ blockchains by filtering logs based on contract address, event signature, and indexed parameters. The MCP server fetches raw logs from the blockchain, decodes them using contract ABIs, and returns structured event data with human-readable parameter names and types. Supports complex filtering (multiple topics, block ranges, address filters) and batch queries across multiple contracts. Handles event signature hashing and topic encoding automatically.
Unique: Provides unified event log querying and decoding across 2000+ chains with automatic topic encoding and ABI-based decoding. Handles complex filtering (multiple topics, block ranges) and batch queries without requiring manual log parsing.
vs alternatives: Covers 2000+ chains vs. The Graph (requires subgraph deployment) and Etherscan API (limited to Ethereum), with zero infrastructure setup and automatic ABI-based decoding.
+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 Thirdweb at 25/100.
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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