"Local RAG system for providing documentation to a large language model (LLM)" matching MCP servers:

Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.

Enables AI assistants to search NHTSA recall documents and query governed dbt analytics via validated, read-only text-to-SQL, returning citable evidence and data freshness without granting database or file access.

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.

Enables users to search Korean local government project, plan, and budget documents through AI apps, compare cases across municipalities, and check planning, budget, and support conditions against original-source citations.

Enables any MCP-compatible agent to ask natural-language questions about Chilean labor legislation and receive answers grounded in cited articles from the Código del Trabajo.

Enables natural-language question answering over Australian government policy documents with grounded, source-cited responses and a tool to list indexed documents.

This MCP server enables AI assistants to answer questions about government tenders based on the tenders' real documents, with citations to the exact document and page. It supports listing, summarizing, and querying tenders through natural language.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

Enables Claude to retrieve and cite clauses from Korean national R&D manuals using RAG, grounding answers with accurate provision references.

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.

Provides Claude and any MCP client with plain-English access to official San Antonio-area public data including weather alerts, school ratings, and 311 service calls, with no API keys required.

Enables AI assistants to answer DFW civic and property questions using official data sources without API keys.

A bridge between large language models and Dutch parliamentary data, providing access to Dutch parliamentary documents, debates, and member information from the Tweede Kamer.

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.

MCP server for discovering French local natural, technological, and industrial risks at commune level using Géorisques, administrative references, and open risk datasets. It provides tools to query risk sources, datasets, and commune briefs.

Provides access to EPA's Air Quality System API with 31 tools for querying air quality data, monitoring sites, and pollution measurements across the United States through natural language.

Provides access to official MeteoSwiss weather data, including regional reports, daily forecasts, and website search functionality across multiple languages. It enables AI assistants to retrieve real-time weather information and documentation from MeteoSwiss using the Model Context Protocol.

Enables querying SINTEGRA TO (state tax information) through a read-only MCP server, using natural language.

MCP server for consulting vehicle data from DETRAN TO official source. Read-only, pay-per-use, works with any MCP-compatible client.

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.