"爬取Wiki、语雀等帮助中心内容的工具或方法" matching MCP servers:

Lets AI agents browse and read a university's student resource center portal, retrieving the resource pages for a given admission year and department along with progression and graduation requirements, student handbook sections, academic calendars, bus timetables, class advisors, application forms and manuals, and contact information, each answer cited with its source document and page. It is an unofficial tool that runs locally and drives Chrome or Edge to access the portal on the user's behalf.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

Enables searching J-Quants API endpoints, retrieving detailed documentation, generating executable sample code, and answering FAQs via MCP clients like Claude Desktop.

Provides LLMs with real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

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

Enables programming agents to retrieve internal R&D documentation with traceable, reproducible evidence through the MCP protocol, supporting multi-corpus routing and access control.

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.

Enables people and AI to read the same PDFs, arXiv papers, and GitHub documentation/code together by preserving source identity, page or line locations, and selected text so the current chat can explain the material in context.

MCP server for see-u-ui component library, allowing AI assistants to query component props/events/slots/examples on demand.

Provides read-only access to Gemini 3 Online's knowledge surface (models, pricing, links, FAQ) for MCP-compatible AI clients, requiring no API keys.

Enables intelligent navigation and extraction of documentation from websites, allowing Amazon Q to automatically discover relevant pages, extract clean content, and retrieve code examples from web documentation.

MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.

Enables AI clients like Claude Desktop to search J-Quants API endpoints, get detailed information, reference implementation patterns, and access FAQ answers using MCP.

Provides read-only access to the 27-0 NRL game knowledge including rules, roster constraints, and official links for MCP-compatible AI clients.

A read-only MCP server that recommends React components from a measured, curated snapshot by answering component-fit questions with terse verdicts and harness facts.

Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.

Enables AI agents to look up official EYD Edisi Kelima spelling rules and check or correct Indonesian text for common errors such as nonstandard prepositions, particles, affixed forms, and punctuation through tool calls.

Automates generation of Work Breakdown Structure (WBS) diagrams and project documents. Supports Mermaid, PNG, and .docx export for project MINTRANET.

Enables AI clients to inspect and manage API collections, send real debug requests, and create API/product documents, while exposing collections, history, and documents as MCP resources.