"PlayStation 3" matching MCP servers:

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

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

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.

Enables AI assistants to access structured PLC brand, IEC 61131-3 language, and code-template knowledge so they can generate IDE-specific automation code from natural-language requests.

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 local analysis of OpenAPI 3 and Swagger 2 JSON/YAML spec files on disk, with no remote fetching of specs or credentials. It groups endpoints by tag, flags operations that appear to lack security, lists deprecated operations, and produces short markdown cheat sheets for agents.

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real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

Provides AI assistants access to live Material Design 3 documentation including Foundations, Styles, and Components, returning official content as Markdown.

Provides AI agents with D3.js API documentation and example code from d3js.org and Observable gallery, enabling module discovery, documentation search, and example extraction.

An MCP server for Paradox Clausewitz/Jomini modding (EU5, EU4, Victoria 3, HOI4, CK3, Stellaris) that grounds AI assistants in the game's generated documentation and vanilla script tree, enabling accurate script lookup, parsing, and validation without running the game.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

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

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.

Unified MCP server for Construct 3 providing offline documentation, project read/write, analysis, and scripting support. Enables AI-driven game development and project management through natural language.

Provides AI agents with tools to access Material 3 design components, design tokens, icons, and accessibility guidelines across multiple frameworks.

An MCP server that lets Claude query, search, and explore OpenAPI specifications from local files. Supports OpenAPI 3.x and Swagger 2.0.

Enables AI clients to look up and search Arma 3 SQF commands and event handlers, browse wiki command groups, and read bundled scripting tutorials. Its local wiki cache is cloned and auto-refreshed from upstream on startup and every 24 hours, with a tool to force an immediate update.

Enables AI agents to read, understand, and write Yaskawa MotionWorks IEC 3 code by parsing PLCopen XML and Extended IEC 61131-2 exports and extracting the firmware motion library from the installed vendor help.

Enables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.

Enables an assistant to read a local OpenAPI 3.x specification, search operations, retrieve endpoint or schema details, and expose documentation through tools, resources, and prompts.

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 AI clients to search, create, update, link, and inspect ALM projects, work items, LiveDocs, test runs, comments, attachments, and workflow actions in 2023-era deployments, with read-only and dry-run safeguards.

Enables semantic search across Markdown copies of official documentation for 25 data science and web development technologies, including Python, pandas, PyTorch, tidyverse, React and MDN. Exposes tools to search content, retrieve specific sections, and list available technologies, so assistants can answer questions in natural language, including Spanish.

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

Zero-config knowledge base for AI coding agents. Loads your markdown docs into a searchable database and exposes them as MCP tools — search, read, and manage documentation without leaving your editor. Works instantly with SQLite (no setup), upgrades to PostgreSQL + pgvector for hybrid semantic search. 6 MCP tools, 3 resources, FTS5 keyword search, 176 tests.

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.

An OpenAPI-driven MCP agent hub that dynamically generates MCP tools from Swagger/OpenAPI specs, enabling conversational interaction with backend APIs through natural language.

Enables browsing Material Design 3 documentation by listing top-level sections and retrieving page content as Markdown.

MCP server over a curated catalog of 78 AI tools for engineering teams. Every entry states when it fits, when it does not, its limits, licence terms and open issue numbers, all verified against the project's own repository — search by keyword, category or licence, and get full records or published comparisons.

This local stdio MCP server enables AI clients to search, read, and safely write Omeka S REST API resources such as items, media, item sets, site pages and blocks, with value annotations and read-back verification of writes.

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.

Enables Language Models to interact with Notion workspaces through standardized tools for searching, reading, creating, and updating pages and databases.

Enables coding agents to check requests against a live OpenAPI 3.x specification rather than guessing, by resolving endpoints from a docs anchor, operationId, path fragment or tag, revealing what each operation accepts and returns with $refs resolved, and diffing a concrete payload to report missing, unknown, mistyped, or forbidden fields with suggested corrections. All five tools are strictly read-only, never touching the API the schema describes, and return actionable errors with close-match suggestions.

Dynamically generates Model Context Protocol tools, resources, and prompts from OpenAPI 3.x specifications so LLMs can discover and invoke REST API operations through natural language. Supports multiple combined specs, tag-based filtering, enriched tool descriptions, and Basic, Bearer, API key, or Cognito authentication.

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

Enables LLMs to explore and query OpenAPI specifications, allowing natural language interaction with API endpoints, parameters, request bodies, and response schemas from any OpenAPI 3.x spec.

Provides read-only search and retrieval over a locally built TwinCAT 3 knowledge base of official documentation, exposing tools to search, fetch documents, and check status.