"A server for finding job listings on Indeed" matching MCP servers:

Enables searching and filtering public institution job postings from the Korean government's ALIO system via MCP.

Enables AI assistants to evaluate job postings under a UK visa constraint, including sponsor-licence checks with confidence grades, screening for seniority and hard requirements, and role searches that exclude recruitment agencies. It also tracks application history to help avoid duplicate applications.

Enables searching and analyzing H-1B visa sponsoring companies using U.S. Department of Labor data. Supports filtering by job role, location, and salary with natural language queries to find direct employers and export results.

This MCP server helps users prepare for Korean public institution jobs by integrating job postings, job descriptions, NCS competencies, and institutional analysis from various sources like ALIO and 클린아이.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Enables searching and analyzing real H-1B visa sponsorship data from the U.S. Department of Labor, including job titles, salaries, locations, and company statistics.

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 an MCP-compatible assistant to search public job listings from EURES without an API key, returning details such as title, company, location, remote status, and listing URLs.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

Remote MCP server for the UNESCO Institute for Statistics (UIS): ~5,000 indicators on education, science/R&D, culture and communication by country, region and year — hosted, nothing to install, no API key, with source URL, data release, retrieval timestamp and licence on every answer.

Enables users to search and query information about military service alternative companies in South Korea through the Military Manpower Administration (MMA) API. Supports filtering by service type, industry, company size, location, and recruitment status.

Exposes Denmark's Statistical Bureau API as programmable resources, making it easy to integrate with language models and modern AI applications to enable natural language queries for statistical data.

Finds companies registered at JUCESP from a partner's name, CPF, or CNPJ, returning the NIRE of each participation. It is a read-only MCP server hosted at api.mcp.ai.

7M+ real estate transactions from Poland's RCN registry. Search, compare, and analyze prices

Enables AI assistants to check passport visa, entry, and transit requirements for a country pair using official government sources and a deep link to EasyOnward.

Read-only MCP server for exploring US federal spending data via the USAspending.gov API, enabling natural language queries on awards, agencies, recipients, and spending trends.

MCP server for structured Australian macroeconomic and financial data from the Australian Bureau of Statistics (ABS), the Reserve Bank of Australia (RBA), and the Australian Prudential Regulation Authority (APRA).

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

A Model Context Protocol server that enables integration with the Brazilian PJE (Electronic Judicial Process) system, providing complete support for A1 and A3 digital certificates for accessing judicial data.