"A server for finding food outlets near me" matching MCP servers:

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.

MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.

An MCP server for food-related queries powered by MiniMax AI, enabling natural language interaction via a chat API.

Digital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.

A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.

Query UK food hygiene ratings via MCP. Enables searching establishments by name, location, or rating.

Transforms professional data (CV, projects) into MCP tools for LLMs to query, list, match job descriptions, and ask about experience.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.

Enables AI assistants to answer questions about the operator's current focus, engagements, reusable patterns, availability, and service offerings, with responses grounded in structured data and including confidence labels and source citations.

Query food inspection grades and violations for Charlotte/Mecklenburg County, NC, with tools for searching establishments, getting details, finding nearby, and score distributions.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

Enables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.

An MCP server that lets you log meals through Claude (and soon ChatGPT) in plain language, using India's official food composition data (IFCT 2017) plus USDA, enabling accurate calorie and macro tracking for Indian dishes with household units and photo logging.

Connects AI agents to UK Food Standards Agency food hygiene ratings (FHRS). Enables querying food hygiene data via natural language through the Pipeworx gateway.

Find discounted food waste from Danish supermarkets (Salling Group) via the Model Context Protocol. Provides tools to search nearby stores or get products by store ID.

Provides AI assistants with real-time access to nutrition data from USDA FoodData Central and FatSecret, enabling accurate answers with citations for nutrition queries.

Turns a developer's portfolio into a queryable MCP server, enabling AI assistants to interrogate career data (experience, projects, skills) with grounded citations.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.