"How to Create 2D Fighting Games in Godot Engine" matching MCP servers:

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables AI agents to query Riot Games data such as accounts, summoners, match history, and champion mastery via natural language.

Provides tools to retrieve information about current and upcoming free games on the Epic Games Store. It allows users to access game details including titles, descriptions, and claim URLs through Model Context Protocol clients.

Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

Enables AI agents to search and retrieve information from the official Godot game engine documentation. Provides tools to search documentation, get page content, and access detailed class information.

Enables searching and retrieving Godot Engine documentation across multiple versions (stable, latest, 4.3-4.5) using fuzzy search, returning documentation content as markdown.

Serves a Markdown memory vault to AI agents over MCP, letting them write, search, edit, and verify memories while full-text and graph indexes stay in sync in the background. Combines SQLite FTS5 retrieval with a Graphiti temporal knowledge graph so agents can recall both documents and entity facts over time.

Enables Indian bank branch IFSC code lookup via Razorpay's open API, allowing AI agents to retrieve branch details using IFSC codes.

Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Enables AI agents to retrieve the verbatim text of German federal and state statutes, search official case law from BGH, BAG and BVerfG, and compute procedurally exact deadlines under §§ 187–193 BGB with weekend and public-holiday adjustment. It also supplies structured statutory-element blueprints with burden-of-proof allocation and assembles citation-secured research dossiers for pleadings.

Connects Claude to Sketch Engine for corpus linguistics and text analysis, enabling queries on collocations, concordances, word usage, and more via natural language.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.

Enables users to access the Realty In Ca1 API to search for residential and commercial property listings, view detailed property information, and retrieve neighborhood demographics or statistics. It supports filtering by geographic location, price range, building type, and other real estate characteristics.

Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Enables users to discover jobs by target titles and countries, rank job descriptions by skill coverage across all imported resumes, generate tailored ATS-ready resumes and cover letters, and fill and submit requested application batches through a signed-in AI host with browser access.

Enables AI agents to crawl live websites, audit AEO readiness, generate Schema.org @graph JSON-LD, llms.txt, ai.txt, and robots.txt, inject structured data into HTML, validate optimizations, and retrieve framework-specific code snippets.

Enables searching and reading Godot documentation as Markdown. Provides tools to search for terms and retrieve matching documentation pages through the Model Context Protocol.

Enables AI to perform fast, multi-source web searches and research through tools for web, social, news, GitHub, and document analysis.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

An MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.

Enables intelligent access to React Native Godot documentation, examples, API references, and troubleshooting guides through searchable tools optimized for LLM workflows.

Enables agents to perform controlled enterprise data queries through semantic intent, with runtime validation of statistics, filters, granularity, permissions, and physical bindings. Exposes tools like semantic_query for safe, fail-closed access to data horizons and capabilities.

An OAuth-secured remote MCP server (22 tools) that lets Claude, ChatGPT, and Codex search All-In Summit attendee profiles, explore the live agenda, check sessions and meetings, detect scheduling conflicts, and export a calendar. Account-changing actions are only prepared for review, with the user confirming each request in the browser before any event API call is made.

Provides AI agents with 12 real-time tools for search synthesis, grounded research dossiers, claim verification, citation generation, sentiment analysis, expert ranking, timeline creation, and competitive landscape mapping over Streamable HTTP or stdio.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.