"Planning a Trip and Booking a Hotel" matching MCP servers:

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

MCP server that enables introspection of any MCP server's registered tools by exposing mcpreg/list, mcpreg/get, and mcpreg/query tools, making tool registry accessible even when the underlying SDK lacks list_tools().

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Enables AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Provides read-only tools for planning, writing, and auditing lesion network mapping and connectome-based localization papers, including design classification, methods checklists, phrasebooks, limitations, and manuscript auditing.

Provides read-only MCP tools that let coding agents search and read bundled Bharosa documentation, API operation details, and SDK/cURL examples. It enables retrieving a contract, selecting grounded examples, and planning integrations without accounts, credentials, or live API calls.

Enables interaction with Kenya's government processes by providing form checklists, draft letters, requirements checks, eCitizen guides, Huduma Centre locations, and timeline planning.

A read-only, deterministic server that enables assembling copy-ready video prompts, planning timed shot sequences, diagnosing prompt clarity and current duration/resolution/reference/end-frame/audio limits, and retrieving canonical creation, guide, pricing, and policy URLs.

MCP server for comparing Commvault release versions, retrieving categorized changes, and generating release summaries to support upgrade planning.

Enables AI assistants to access curated life sciences CRM migration intelligence for readiness assessment, module mapping, regulatory compliance, integration architecture, multi-country rollout planning, system validation, and troubleshooting.

The server provides an AI assistant with complete technical documentation, schematics, and part lists for a PTV water jet cutting installation. This enables natural language-based support for troubleshooting, electrical modifications, and maintenance planning.

MCP server for Hugeicons integration and documentation This is a TypeScript-based MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons

A MCP server for interacting with Aptos documentation and creating full-stack Aptos blockchain applications.

Scaffolds a documentation repository that serves as a remote MCP server, providing agentic search tools (glob, grep, read) over markdown docs, with a minimal browser UI.

Enables querying a synthetic company handbook with a single search tool that returns the entire handbook rather than just a matching paragraph, demonstrating context-window flooding.

Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

Enables household maintenance planning and tracking through MCP tools, including reviewed step-by-step guides, command-driven state updates, and iCalendar generation for completed routines.

Provides evidence-grounded paper reading, citation verification, and reproducible experiment planning through DeepSeek Harness via a deterministic Python stdio server.

Provides psycholinguistic, lexical, structural, and discourse-level rules to help writing sound human-authored. Includes reference readers and a compliance checker.

A read-only MCP server that enables AI apps to list, search, and read a set of publicly published guides hosted as Google Docs, without authentication. It exposes list_guides, search_guides, and get_guide tools from a Cloudflare Worker endpoint, caching guide text for about an hour.

Enables MCP clients to browse a read-only catalog of published products and their documented interfaces, listing entries, fetching one by stable ID, and searching names, descriptions, and limitations with optional protocol filters. It also exposes the versioned manifest as a resource and a prompt that helps clients match a task to catalog entries without inventing unsupported capabilities.