"Understanding Structured Thinking" matching MCP servers:

An MCP server that provides access to Stern, a philosophical AI mentor combining rationalist thinking with stoic philosophy to guide users through personalized mentorship and smart contract accountability on Solana.

Enables querying public vfat Metrics position data by EVM address, providing structured access to current positions, NFT lifecycle actions, historical value/performance, CSV exports, and portfolio summaries through MCP tools.

Enables AI agents to build, test, deploy, invoke, and inspect Soroban smart contracts on the Stellar network through structured MCP tools and resources.

An MCP server for querying Uniswap pools/pairs by token address, delivering clean, structured results for easy integration and analysis.

Enables MCP-capable agents to access a verified, structured registry of Terra Classic engineering findings and companion agent skills, with runnable freshness checks.

MCP (Model Context Protocol) server that gives AI agents structured access to Predict.fun — a prediction market protocol on BNB Chain with $1.5B+ volume and yield-bearing mechanics via Venus Protocol. Indexes data from three subgraphs: orderbook activity, position lifecycle, and yield mechanics.

Enables building, querying, and publishing structured knowledge to the decentralized Geo knowledge graph using GRC-20, with tools for graph operations, DAO governance, and file ingestion.

Enables agents and developers to generate and verify Poseidon Merkle membership proofs, verify Groth16 zk-SNARK proofs, construct and verify Merkle Mountain Range proofs, create SHA-256 Merkle inclusion proofs, and hash EIP-712 typed structured data for private identity and Web3 workflows.

Enables AI agents to query real-time spatial perception from DePIN edge-vision nodes, retrieving structured JSON about detected objects, bounding boxes, confidence scores, environmental state, and geolocation through the Model Context Protocol.

A backend service for executing transactions on Binance Smart Chain, enabling secure transfers of BNB and BEP-20 tokens, smart contract interactions, and token creation through structured MCP integration.

Enables deep research into cryptocurrency tokens by gathering data from multiple sources like CoinGecko and DeFiLlama to generate structured reports. It allows users to track research progress, fetch web content, and manage resources locally for comprehensive crypto analysis.

Enables AI agents to safely interact with Ethereum by providing structured tools for reading blockchain state, simulating transactions, and drafting transactions that require human-in-the-loop approval.

Query blockchains with plain English — instant, structured, and developer-friendly using Infura APIs

Streams real-time, structured MEXC exchange announcements to AI agents, enabling access to the latest listings, delistings, and general announcements with clean data including full links and ISO timestamps.

Provides structured access to Solana Anchor error data, enabling AI coding agents to parse logs, debug transactions, and look up error codes.

A production-grade TypeScript MCP server that provides AI agents with structured access to real-world data across financial markets, Web3/DeFi, developer tools, and healthcare domains. It features built-in authentication, domain isolation, caching, and rate limiting for reliable API integrations.

Enables agents to search and retrieve public job listings from web3.career through the search_jobs and get_job tools, with keyword, location, remote, date, and limit filters. It is read-only, returns structured job details such as title, company, location, and apply URL, and works with any MCP host.

Lets AI agents run verification policies, inspect structured proof bundles, and submit high-trust proof-of-work results to Gibwork through MCP tools. Works additively alongside existing Gibwork MCP setups, with optional policy, budget, and audit layers via a gateway.

A production-ready MCP server that wraps the Kxcoscan blockchain explorer API into structured endpoints for AI agents. It enables users to query wallet balances, transaction histories, token transfers, and contract details via natural language.

Connects to Lightning Network nodes and enables natural language queries for channel information, providing both human-readable responses and structured JSON data through the Model Context Protocol.