"A search for a URL" matching MCP servers:

Provides 14 enhanced intelligent search tools for both international platforms (GitHub, StackOverflow, NPM, etc.) and Chinese platforms (CSDN, Juejin, WeChat docs, etc.). Each tool includes smart URL generation, search tips, and related suggestions for comprehensive technical research.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables searching and retrieving documentation files from a local docs folder using a search tool and dynamic resource URIs.

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

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 LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

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 AI clients to search and read a folder of Markdown/text documents via a read-only MCP server with hybrid BM25 and local embedding search, treating the calling model as untrusted.

Convert PDF, DOCX, HTML, and URLs into clean, LLM-ready markdown with tables preserved and boilerplate stripped, through three MCP tools (URL, local file, or raw bytes). Hosted API with no local dependencies; 50 free conversions with a self-serve key, then $0.002 per call.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.

Enables coding agents to list, search, and read a curated Shopware developer and merchant knowledge base offline as plain Markdown files, without network access or an API key.

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

A Model Context Protocol server that provides AI coding agents with real, live, source-cited documentation for npm, PyPI, and Cargo packages, including READMEs, metadata, vulnerability checks, and package search.

Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables agents to perform full-text search and read Hermes Agent documentation offline from a local cache, without scraping the site.

Enables searching and browsing the entire F5 AI Security documentation using TF-IDF search and section reader tools.

Provides a documentation search MCP tool (search_docs) that enables AI agents to retrieve relevant chunks from BDC documentation using semantic embeddings and keyword search, with filtering by document type and date.

Fresh, source-verified docs for building MCP servers and Claude agents, served to your AI coding agent over MCP. Each document is stamped with its source URL and last-verified date.