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

Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.

Enables users to view Alibaba Cloud account balances, credit limits, and cash voucher status through a persistent Codex panel or natural-language queries using read-only BSS OpenAPI access.

Enables an AI agent to manage a Bitcoin wallet and request payments through MCP, while every spend requires a per-payment human approval code and defaults to signet.

Provides Bitcoin and Stacks wallet operations including sending, receiving, balance checks, and transaction management via MCP tools.

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.

Retired. This MCP wrapper is no longer maintained. Check is now a Claude Code hook: npx @golproductions/check@latest --install. 120 free messages a day. Details: golproductions.com/check

Enables structural framing analysis of documents, identifying perspectives, omissions, and reader positioning, with numerical claim verification against authoritative sources.

Local-only GitHub Actions and CI maintenance scanner for AI-built apps. Exposes scan, explanation, and fix-planning tools to MCP clients; modifies nothing and makes no outbound requests by default.

Enables users to validate contractor invoices against Article 4 of a framework contract with exact decimal calculations, generate Dutch draft letters, and review proposed approve, dispute, or hold verdicts in a local dashboard with an append-only decisions log.

Enables any MCP client to detect Claude Code configuration that is silently ignored, such as agent files that fail to load, unknown frontmatter fields, parent-folder settings, conflicting MCP server entries and drift since a baseline. Exposes read-only tools that return findings with exact edits, the fix prompt, and explanations of each check, without modifying any files.

Enables AI coding agents to audit Supabase or Postgres databases for Row Level Security and multi-tenant isolation holes, reading tables, grants, policies and functions for static findings and optionally probing those policies inside a rolled-back transaction. It reports each hole with an explanation and a fix, so an agent can verify the migrations it just wrote before declaring them done.

Enables Codex and Claude Code agents to submit drafts for local rubric-based review through TypeSafe Jev, returning keep, rewrite, or uncertain decisions so agents can fix flagged issues and re-check once.

Enables deliverable conformance and evidence-chain checks by turning requirements into executable specs, validating numbers against a provenance ledger, and auditing PDF/OOXML metadata and archive manifests.

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 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.

Enables AI agents to scan directories, container images, and SBOMs for vulnerabilities, look up individual CVEs, and refresh the local vulnerability database. Findings come back prioritized with concrete upgrade targets rather than raw scanner output.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

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.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Compares a project's .env file against its .env.example template to surface missing, extra, and empty keys, flag empty required variables, and produce paste-safe key inventories for tickets or sharing. Runs entirely on local files with every value redacted, so secrets are never echoed or uploaded.

Enables managing internal documentation with search and add capabilities, and fetching official documentation from 13+ popular libraries via MCP tools.

Scans markdown vaults to detect contradictory claims (quantitative and negation) between notes with high concept overlap, and provides tools for analysis and reconciliation.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

Offline Python MCP server that audits Zapier, Make and n8n lead pipelines and lists where inbound leads are silently dropped.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Enables comparison of supplied supplier or vendor statement open items against an accounts payable ledger, identifying missing items, amount and date discrepancies, and ambiguous repeated references with exact reference evidence.

A Model Context Protocol server that converts Markdown content to HTML format.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

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.