"Resources or information about flights" matching MCP servers:

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.

Enables AI assistants to search and ask questions about documents stored in AnythingLLM workspaces through MCP tools.

Enables AI assistants to search and retrieve transcripts from the Entra.Chat podcast about Microsoft Entra ID, with timestamped YouTube links and guest information.

An MCP server that retrieves contextual information from company resources and surfaces it to coding agents as rules, reasoning, skills, and commands.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

Enables AI agents to record, recall, correct, and forget evidence-backed factual claims with temporal history, while explaining whether remembered information is current, historical, or contested.

A Model Context Protocol server that allows AI agents to perform WHOIS lookups, enabling users to directly ask the AI about domain availability, ownership, registration details, and other domain information.

Enables MCP clients to retrieve authoritative AI Square documentation, API references, SDK examples, guides, and troubleshooting information through citation-safe hybrid search and static resources.

Provides LLMs with specialized knowledge about fountain pen inks, enabling intelligent ink search, color matching, and recommendations through various tools.

A Model Context Protocol server that provides knowledge graph-based persistent memory for LLMs, allowing them to store, retrieve, and reason about information across multiple conversations and sessions.

Provides personalized Data Engineering learning updates by fetching recent news about DE concepts, patterns, and technologies, while tracking user knowledge to present only new information relevant to their learning journey.

Enables web search functionality through Perplexity AI's API with time-based filtering options. Allows users to search the web for recent information within specified time periods (day, week, month, or year).

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

Enables XTend developers and agents to search and retrieve canonical XTend documentation, recipes, and kit resources through read-only MCP tools, resources, and prompts served over stateless HTTP.

An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.

A server that connects MCP clients (Claude, Cursor, Windsurf, etc.) to EventCatalog instances, allowing users to ask questions about their event-driven architecture and get insights about domains, services, and message schemas directly within their development tools.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Enables AI agents to query up-to-date, sourced information about workflow automation services, AI agents, integrations, pricing, case studies, FAQs, and contact details in Dutch and English through read-only tools.

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

Gives AI agents access to a persistent document workspace, letting them search, read, and update notes, guides, and project documentation across a full catalog of tools, prompts, and resources. It connects either to the hosted Cloud endpoint over Streamable HTTP with OAuth or API-key auth, or to a self-hosted instance through a stdio bridge.

Enables semantic search over Omarchy, Arch Linux, and Hyprland documentation, allowing users to query configuration and usage information via natural language in Cursor, OpenCode, or Claude Code.

MCP Memory is an MCP Server that gives MCP Clients the ability to remember information about users across conversations. It uses vector search technology to find relevant memories based on meaning, not just keywords.

Enables querying and browsing educational resources from AMB Nostr relays — cross-content full-text search, passage retrieval with citations, filtering by publisher, subject, level or type, SKOS vocabulary lookup, calendar event search, and URL-to-form-prefill metadata extraction. It also supports signing and publishing Nostr events (including AMB educational resources) via NIP-46 remote signing, with stdio, HTTP and ContextVM transports.

Enables AI agents to search, read, and update persistent workspace knowledge through 22 focused tools, prompts, and resources, using either a hosted endpoint or a self-hosted stdio bridge.

Enables AI agents to answer questions about a personal site straight from its published JSON bundle — profile, posts, case studies, pages, projects, stats and small datasets — through seven read-only tools for listing, full-text search, fetching Markdown, and querying dataset rows, with no sign-in, database or write path.

Enables users to pin lessons, claims, and open questions about physical objects to the places they live, then resume that thread later from any phone or assistant through three tools: observe, ask, and commit. Matching runs on host-authored text descriptions and user-named places, so no images are stored and identity survives switching devices, apps, or models.

Enables AI assistants to search and retrieve stored open-source information through read-only MCP tools, including evidence retrieval by document or snapshot ID with byte-integrity verification.

Enables AI agents to search, read, and update persistent knowledge bases through 22 MCP tools, prompts, and resources, connecting to either a hosted endpoint or a self-hosted API.