"IP address geolocation lookup service" matching MCP servers:

Enables AI agents to retrieve free, source-linked decision methods and optional decision packs through MCP tools such as catalog, method, sample_pack, and pack_offer. It operates without model calls and disables payments by default.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

MCP server providing access to the Earth616 Defense Supply Chain and Documentation Ontology with tools for ontology lookup and testing.

Enables searching and summarizing MDN Web Docs documentation directly from MCP-compatible clients. Allows developers to quickly retrieve concise documentation summaries for web technologies without leaving their workflow.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

Enables searching and querying HackTricks pentesting documentation directly from Claude, with tools for quick lookup, grouped search results, page outlines, section extraction, and cheatsheet mode.

Serves the already-public developer documentation for the DivineAPI REST API, enabling search, endpoint lookup, and example responses without authentication.

Enables AI agents to write, validate, and render high-quality PostScript by providing operator lookup, vetted PSlib fragments, cited reference search, and Ghostscript-based checking.

Provides read-only tools to search, read, and look up Natural API documentation from an AI agent, enabling documentation lookup without credentials.

Provides deterministic PC no-boot/no-display troubleshooting with ranked repair steps and real, sourced BIOS beep-code lookup tables. Enables users to diagnose hardware issues without LLM guesswork.

Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.

MAC-address (OUI) vendor lookup and router default-login directory for AI agents, backed by ssid.ai. Identify a device manufacturer from its MAC address, detect randomized/private addresses instead of reporting unknown, or fetch a router's default login IP and admin credentials — every field cited to the manufacturer's own documentation

Helps AI agents read and write valid TEI XML. Element lookup, attribute resolution, content model expansion, nesting validation, document validation, and ODD customisation.

Enables AI assistants to search, browse, and retrieve documents from a Hermes document management instance directly in chat, including full-text search, metadata lookup, and listing drafts, document types, products, and projects.

MCP server for Pathfinder 2e Remastered character building and rules lookup, using a local SQLite database of official rules data to enable fast, token-efficient AI-assisted character creation.

Enables searching and retrieving Magento 2 REST API documentation offline via local OpenAPI parsing, supporting endpoint search, schema lookup, and category browsing.

Provides controlled, verifiable access to jw.org content for AI applications, enabling search, article retrieval, and scripture lookup while preventing hallucinations.

Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.