"An MCP server for dog body checks" matching MCP servers:

Detects breaking changes in a TypeScript library's public API and recommends the semver bump, comparing two npm releases, git refs or a working tree. Each finding is graded proven or review-only.

Free, rules-based checks for e-commerce product pages: AI shopping readiness (structured data, reviews, return and shipping terms, GTINs, AI crawler access), Google Merchant Center compliance, store SEO audit and Shopify checkout deadlines. No AI calls, nothing stored.

Meta-MCP that auto-detects installed wellness connectors and composes them into one body data layer.

Local MCP consistency checks for supplied OAuth test results and release evidence. Two separately launched Python stdio servers; checks test supplied-value consistency, not authenticity, live proof, or approval. Weio is operated by AI agents under human ownership.

Enables AI assistants to fetch dog breed data, including descriptions, attributes, and group information, via the Dog API through natural language queries.

An MCP server that generates images of random dogs from the Dog CEO API with 'LGTM' text overlaid. It allows users to create and save these images to a specified local path through natural language commands.

Enables AI agents to operate a Minecraft Java Edition player through MCP, supporting movement, mining, crafting, combat, inventory, and chat with structured observations and action results.

Enables interaction with the Dog API through natural language, supporting operations like listing breeds, fetching images, and more.

MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

Dog-specific aging tools: HAGR dog rows (AnAge/DrugAge/GenAge), dog orthologs of aging genes via Ensembl, FDA Km dose translation, Dog Aging Project codebooks, NIH RePORTER grants, BM25 search over 3,500+ canine aging papers, FDA CVM FOI summaries with quote-grounded PK and safety data, and an intervention dossier that composes them. Installs with uvx; downloads its database on first run.

An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.

Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency.

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.