"Learning NestJS Framework Knowledge" matching MCP servers:

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.

Enables querying a Brazilian company's Simples Nacional status by CNPJ, including opt-in and tax framework classification.

MCP server for the Georgia Department of Education SuitCASE API, enabling AI assistants to search, fetch, and parse Georgia learning standards, course codes, CTAE clusters, and pathways.

MCP server for LINDAS, the linked-data knowledge graph of the Swiss administration, enabling querying of Swiss public data cubes via guarded SPARQL tools.

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.

Enables AI assistants to search, explore, and query any CKAN open data portal through natural language, making public datasets accessible without requiring knowledge of the portal's API.

Enables querying EU-funded research projects and ERC grants from the CORDIS knowledge graph, including full project records and ERC scheme listings, with server-side filtering and attribution.

Enables MCP clients to search verified Japanese corporate records — EDINET XBRL financials, 13-digit corporate numbers, major shareholders, and gBizINFO certifications — locally through a single knowledge-search tool with keyword, fuzzy, semantic, or hybrid retrieval. It also maps J-GAAP, US GAAP, and IFRS concepts so filings can be read in English without mistranslating terms like 営業利益 and 経常利益.

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.

A money-in-politics knowledge graph, as an MCP server. It links entities across federal campaign donations, lobbying disclosures, and government contracts.

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.

An MCP server that provides AI agents with access to Dubai and UAE public data (prayer times, exchange rates, school ratings, etc.) and curated business setup knowledge for entrepreneurs.

Enables read-only search and retrieval of Korean defense acquisition statutes, administrative rules, precedents, and DAPA organizational/policy knowledge, with source verification and citation checking.

Exposes 55 forensic tools over the Model Context Protocol so agents can query Chilean statutes, jurisprudence, administrative dicta and doctrine from official state sources such as BCN, PJUD, CGR and DT, while running locally for confidential casework. It also supports citation-validated drafting, deadline and docket monitoring, judgment deconstruction, OCR dossier compilation and legal knowledge-graph analysis for civil-law practice, teaching and research.

Provides agricultural intelligence tools for pest/disease lookup, government scheme discovery, and SME knowledge retrieval via semantic search.

Enables monitoring Migrationsverket's public legal position feed to detect when cited RS/RK documents have been superseded, so firms can identify which knowledge base entries are out of date.

PLEXUS federates the world's knowledge — government records, scientific literature, legal databases, financial data, cultural archives, and more — into a single normalized API. Get intelligence, not raw data. Pay per call in USDC via x402. No subscriptions, no API keys.

Enables natural language access to Denmark's Statistics API (Danmarks Statistik), allowing users to query and analyze Danish statistical data without coding knowledge through AI-powered interactions.