"A search for teaching and education resources" matching MCP servers:

MCP server for education statistics of the Canton and City of Zurich (BISTA), providing tools to query pupil numbers, school district trends, secondary school profiles, nationality breakdowns, and gymnasium graduation rates.

Enables natural-language queries about US K-12 public schools, districts, per-pupil funding and spending, and child poverty estimates from keyless federal data.

This MCP server enables interaction with the Punjab State Board of Technical Education and Industrial Training API, allowing access to technical education services and information through natural language.

An MCP server for interacting with the Tripura State Board of Secondary Education API, auto-generated using AG2's MCP builder to enable conversational access to education data.

Enables users to determine the Japanese school stage, grade, and subject range for a given knowledge item or term, and to audit LLM explanations for content exceeding a specified grade limit. It also searches normalized MEXT curriculum-code tables and retrieves prerequisite knowledge for topics.

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 searching and retrieving Korean Supreme Court precedents from the law.go.kr Open API, with support for keyword search and detailed judgment text.

MCP server enabling full-text search of Japanese corporate IR filings (EDINET) via AI agents, supporting local SQLite FTS5 indexing and hosted beta API.

Real-time search of Japanese government subsidies and grants (official jGrants data): deadlines, amounts, eligibility, filterable by prefecture.

Full-text search across all ~10,000 current Japanese laws and regulations (official e-Gov data): keyword search, table of contents, and exact article text.

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.

Search Japan's National Diet records (1947-present): ministerial statements, committee Q&A, and policy debates with speaker, party, and citation URLs.

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.

MCP server that enables AI agents to search Korean laws and retrieve article contents using the Korean Ministry of Legislation's law information API.

Provides programmatic access to North Dakota Public Service Commission case records, dockets, and documents. Users can search cases by jurisdiction or status and extract text directly from regulatory PDF filings.

Enables searching GOV.UK by keyword and fetching latest publications using the GOV.UK Search API.

Provides comprehensive access to Hong Kong Legislative Council data including voting results, bills, parliamentary questions, and Hansard records. It supports real-time multi-word search capabilities and various transport protocols like SSE and WebSocket for easy integration.

Enables querying the Urban Institute's Education Data Portal — harmonized federal data on schools, school districts, and colleges — through a discovery-first set of tools that search and describe datasets, fetch raw records or aggregated statistics, decode coded values, and resolve institution names to IDs, with no API key required and read-only access to the live API.

MCP server for GOV.UK — search, content retrieval, organisation lookup, and postcode resolution.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.