"Agent Creation and Orchestration" matching MCP servers:

Enables lookup of licensed US real estate agents on official state license registers by license number or name, returning the brokerage of record along with its active agent count, size band, and the agent's license status and expiry. It also lists every active agent at a given brokerage or every brokerage office in a zip code across 19 states.

Enables users to discover matching public procurement notices from four official portals, with filters by keywords, CPV prefixes, and buyer country. Returns structured notice rows including buyer, deadline, value, codes, and link.

Enables AI assistants to validate and standardize US addresses using the official USPS Address Validation API with secure OAuth2 authentication.

Provides a structured interface to the Japanese National Diet Library's parliamentary proceedings API, allowing AI models to search and retrieve Diet meeting records and speeches.

Exposes live earth-science data (e.g., earthquakes from USGS) as tools for MCP-compatible AI agents, enabling them to fetch and reason about real-time geophysical events.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Provides tools for auditing and fixing scaffolded VA forms to ensure they follow best practices and VA.gov content standards. Enables automated validation, agent prompt generation, and orchestration of form fixes across any vets-website workspace.

Enables free, read-only answers to personal-finance limit questions for the US, UK, CA, AU, and NZ, returning official source URLs and as-of dates for deposit insurance and contribution limits or allowances. Also supports deposit-insurance scheme lookups, cross-border protection checks, health checks, and catalog listing through a remote MCP endpoint.

Enables discovery and querying of UK public data for infrastructure, geology, and preliminary ground investigations, including boreholes, environmental monitoring, planning, mapping, and traffic, plus cited desk studies and ground-investigation gap planning.

Enables querying Swiss land and woodland regulations including land acquisition rules (BGBB), forest protection laws (WaG), spatial planning zones (RPG), and agricultural leases (LPG). Provides AI assistants with searchable access to federal land law for farmers, notaries, and spatial planners.

Enables AI agents to search and verify Hong Kong official registry data, retrieve merged agent profiles with citation-safe recommendedUse, and access verified Agent Cards through a remote streamable HTTP endpoint.

Enables MCP clients to fetch Argentine USD/ARS quotes, INDEC inflation data, and national holidays, validate CUIT/CBU identifiers, and generate Ripio wARS on-ramp links, with paid calls settled per use in wARS on Celo via x402 or free quote mode.

C# SQL Agent MCP server featuring raw SQL input, strict AST validation, and an embedded Admin UI. Eliminates LLM hallucinations and security risks across 6 major databases.

Enables an AI assistant to estimate federal Canada Child Benefit amounts, check eligibility, explain rules, and prepare and verify a filled RC66 application for the user to review and sign.

Enables querying Dubai real-estate data from the Dubai Land Department, including property transactions, rental contracts, valuations, development projects, land parcels, buildings, and licensed broker/developer registers.

Provides UK company lookups via Companies House, web scraping, and search tools designed to be context-efficient for AI agents. It includes integrated micro-payment monetization and supports data extraction and format conversion.

Multi-agent MCP server for auditing public spending execution of Peruvian regional and local governments, providing tools for CSV inspection, data pipeline orchestration, and historical PDF OCR processing.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Enables answering US economic questions by searching, fetching, and comparing FRED data series through a supervised multi-agent workflow with built-in safety and cost controls.

Enables users and AI agents to resolve tickers, CIKs, or company names to official SEC entity data and retrieve recent EDGAR filings, XBRL financial facts, and optional filing-text excerpts. It delivers structured, source-linked rows for research and tooling, with schema-versioned output and machine-readable error codes.