MCP server
by jayarrowz
Access OSRS Wiki tools for game data, price checks, and ranged gear info. Search the os rs wiki with structured queries
Accesses Old School RuneScape game data through wiki searches and structured file queries. Lets you search the OSRS wiki and look up detailed definitions for game objects, NPCs, items, and player variables.
OSRS Wiki is a community-built MCP server published by jayarrowz that provides AI assistants with tools and capabilities via the Model Context Protocol. Access OSRS Wiki tools for game data, price checks, and ranged gear info. Search the os rs wiki with structured queries It is categorized under search web. This server exposes 19 tools that AI clients can invoke during conversations and coding sessions.
You can install OSRS Wiki in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
OSRS Wiki is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
We wired OSRS Wiki into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
OSRS Wiki is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: OSRS Wiki is the kind of server we cite when onboarding engineers to host + tool permissions.
OSRS Wiki reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend OSRS Wiki for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
OSRS Wiki reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend OSRS Wiki for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: OSRS Wiki surfaces stars and publisher context so we could sanity-check maintenance before adopting.
OSRS Wiki reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired OSRS Wiki into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
showing 1-10 of 49
Fetch (Web Content & YouTube Transcripts)
Fetch is a web scraping tool that extracts web content and YouTube transcripts, converting HTML to Markdown with accurat
★ 157
Read Website Fast
Extract web content and convert to clean Markdown. Fast data extraction from web pages with caching, robots.txt support,
★ 135
DeepWiki
DeepWiki converts deepwiki.com pages into clean Markdown, with fast, secure extraction—perfect as a PDF text, page, or i
★ 1.3K
Reddit Buddy
Reddit Buddy offers powerful Reddit API tools for browsing, searching, and data annotation with secure access, rate limi
★ 410
Exa Search
Empower AI with the Exa MCP Server—an AI research tool for real-time web search, academic data, and smarter, up-to-date
★ 4.0K
mcp-server-rag-web-browser
MCP server implementing the RAG Web Browser Actor — a web browsing/search tool for LLMs and RAG pipelines, enabling web-
★ 198
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.