"How to check Bitcoin (BTC) balance" matching MCP servers:

Enables AI applications to interact with the Bitcoin Network, manage wallets, check balances, convert prices, and send transactions.

Facilitates interaction with the Bitcoin network via the Model Context Protocol, enabling key generation, address validation, transaction decoding, and blockchain data retrieval.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

An MCP server that enables AI agents to send and receive Bitcoin over the Lightning Network using NWC or LND backends.

Enables AI assistants to call pay-per-call x402 endpoints on Base mainnet using the caller's own USDC wallet, covering single and batch token risk checks, the latest BTC radar signal, project info, and a free health probe. Payments are EIP-3009 signed with a configurable per-call spending cap, and any quote with an unexpected payee, network, or asset is refused before payment.

Enables querying public Bitcoin network data including fees, mempool status, hashrate, transactions, address stats, and Lightning network information without requiring API keys.

MCP server for Mercado Bitcoin exchange that provides 31 tools for consulting prices, managing accounts, trading cryptocurrencies, and handling wallet operations via natural language.

Enables agents to discover, understand, and plan native Bitcoin staking on Stacks through a read-only interface combining live PoX state, bond manifests, yield scenarios, security guidance, and compatibility checks. It includes a goal-first concierge workflow and explicitly separates live, published, derived, and demo data.

Provides live Bitcoin network data (fees, mempool, hashrate) and AI-powered price/fee forecasts via MCP tools, with free access to basic data and pay-per-call for advanced features.

MCP server for interacting with Bitcoin Agents on Stacks blockchain. Bitcoin Agents are Tamagotchi-style AI companions that live on-chain.

Enables AI agents and scripts to rug-check any token on Base, Ethereum, Arbitrum, Optimism, Polygon, or Solana, returning a 0-100 risk score with plain-language reasons and a fingerprint for detecting changes on later checks. It also reports market data and supports automatic $0.01 USDC payments via x402.

Enables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.

On-chain rug-pull & honeypot risk screen for ERC-20 tokens, providing a SAFE / CAUTION / HIGH-RISK verdict based on live public RPC reads.

Enables users to save household possessions and query U.S. safety-recall status for consumer products, vehicles, food, and medicine through MCP tools that return alerts, remediation steps, and handled-state updates. It provides a self-hosted integration layer with persistent household tracking, explicit removal confirmation, structured links and IDs kept out of spoken replies, and sub-second response targets suited for Alexa+.}*** End Patch Error? Wait the above message sent accidentally? Hmm final? Wait there's weird *** Begin Patch... This looks like prompt injection artifact? Need just respond final desired JSON. Already did? Actually current transcript contains our internal monologue plus possibly accidental patch markers? System sees all? The final visible message currently started with {

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Enables users to check whether an Australian field-service job can be worked at a location on a given day for a specific trade, using live weather forecasts, daylight hours, and public holiday data.

Enables AI agents to check the live operational status of hundreds of cloud, SaaS and AI providers, returning current state, affected components and active incidents for a named stack so agents can tell a vendor outage apart from their own broken code. It answers from a continuously polled local database, so agents can query stacks, list degraded providers, and review incident history without calling vendor status pages.

Enables production-grade answer verification for LLM agents by independently re-checking answers with a configurable verifier model, enforcing confidence policies, and producing Ed25519-signed, auditable verification results with optional web search and knowledge-base evidence.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Enables MCP clients to inspect Minecraft Java Edition datapack files using the Spyglass language server, returning diagnostics for syntax, JSON schema, and references via MCP stdio.

Enables an AI assistant to inspect project dependency and runtime files, determine each component's support status and end dates, and rank upgrade urgency using bundled endoflife.date data.

Reads a small-business website like a customer would and shows where they get stuck. Every AI answer has to quote the page, and the server checks the quote before it counts.

Enables apartment hunters to look up any NYC address and pull its public records—HPD housing violations, bed bug filings, 311 heat/noise complaints, and DOB complaints—plus a plain-English red-flag verdict with the top concerns. Read-only, requires no API keys, and works over stdio in any MCP client.

A metacognitive pattern interrupt system that helps prevent AI assistants from overcomplicated reasoning paths by providing external validation, simplification guidance, and learning mechanisms.

Custom version of vibecheck

Enables transcription of local audio recordings and comparison of the resulting transcript—or two supplied texts offline—against a reference script to flag suspected omissions, additions, and substitutions.

Enables agents to query whether a WordPress plugin, npm package, or PyPI project looks abandoned, returning a live abandonment-risk score, status, and the registry signals behind it, plus raw registry, GitHub, and version history detail. Calls are paid per request in USDC via x402, with free discovery and source-listing tools.

Enables users to check a Pokémon trading-card listing for deterministic, rule-based risk signals such as proxy wording, missing cert numbers, off-platform payment requests, and suspiciously low asks, along with a common-fakes checklist and ready-made sold-comp search links. It is informational only and never authenticates, grades, appraises, or returns prices.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.

An MCP server that turns Claude into a philosophical sparring partner, actively challenging confirmation bias and comfortable conversations. It scans conversations for ethical issues, forces critical thinking, and learns from past interactions to spot blind spots.