"A service for finding food delivery options" matching MCP servers:

Enables managing software delivery from intake through stabilization via an evidence-gated hierarchical state machine, with tools for transitions, work items, blocking, resuming, and status rendering.

Enables agents and teams to manage versioned delivery work items, role-tagged handoffs, revision- and source-bound evidence, QA gate evaluation, and release-owner attestations through MCP tools.

Enables AI agents and LLMs to retrieve precise food chemistry and nutrition data from USDA, Open Food Facts, and IFCT, evaluate recipes, optimize macros, look up barcodes, and detect ultra-processed foods through MCP tools.

Enables querying options chains and estimating gamma exposure for ETFs and liquid underlyings, including proxy gamma calculations and historical gamma snapshots.

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.

Plans and optimizes last-mile delivery routes with capacity and time-window constraints, offering tools for managing deliveries, vehicles, routes, and what-if scenarios.

Enables delivery leads to query explainable programme health, prioritized risks, dependency impacts, change request effects, blocked decisions, and evidence-backed claims with refusal on unsupported assertions, all via deterministic tools and telemetry.

Enables AI agents to call custom-trained YOLO computer vision models for logistics tasks like parcel damage detection, parcel counting, helmet verification, and vehicle classification directly in conversation.

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

Enables LLM clients to analyze markets, research and optimize options strategies, and execute defined-risk vertical spreads on Interactive Brokers (paper-first) using an Opening Range Breakout signal across trading sessions.

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

Enables searching and retrieving delivery program documents (SOW, status reports, QBR notes, risk register) from indexed Chroma collections via MCP hosts like Claude Desktop or Claude Code, with per-account isolation.

Enables AI chatbots to look up standardized Korean food composition data, retrieve nutrient values, and check or grade nutrition answers against the National Standard Food Composition DB 10.4 with source attribution.

Enables users to search restaurants, view menus, place orders, and check order status via a local MCP server using Firestore.

MCP server connecting AI models to Swiss Federal Food Safety and Veterinary Office open data, enabling queries about food recalls, animal disease surveillance, food control results, and more.

Enables agents to submit markdown for human review, track feedback, and apply revisions through an HTTP API with an optional MCP wrapper.

Provides tools for UK FSA and EU food safety compliance, including business classification, HACCP auditing, allergen labeling checks, traceability, and recall procedures.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables secure delivery of Bitwarden Secrets Manager secrets to approved local files without exposing secret values to the MCP client or model. It provides metadata-only secret discovery and atomic file writes for single secrets or raw env files.

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.

Provides access to Hong Kong food data, including wholesale food prices, through a FastMCP interface.

A production-ready generic FastMCP server template with SQLAlchemy async CRUD, enabling rapid bootstrapping of MCP data-management services. It provides registry-driven CRUD, FK resolution, conflict versioning, and multiple transports.

Real-time hydrological information retrieval service that provides water level, precipitation, dam discharge data, and observatory location information.

Exposes weather, air quality, traffic, transit, parking, POI and government service guide tools over MCP stdio, backed by a real API → cache → seed data fallback chain. Enables multi-agent city service Q&A without requiring any API key to run.

A reusable MCP HTTP server with OAuth 2.1 that turns any JSON-RPC handler into a production-ready endpoint with dynamic client registration, PKCE, refresh tokens, and OpenAPI docs.

A Model Context Protocol service that enables agent authentication and integration with TrustGo platform, providing access to real-time data like price, sigma score, and mindshare bubble analytics.

Enables real-time options order flow analysis with pattern detection, institutional bias tracking, and monitoring of specific strike ranges and expirations. Provides comprehensive options trading data through integration with a high-performance Go-based data broker.