Enables Claude and other MCP‑compatible applications to perform real‑time web searches through the Perplexity (Sonar) API without leaving the MCP ecosystem.

Provides programmatic access to a Grafana instance and its surrounding ecosystem through the Model Context Protocol, enabling AI assistants and other clients to query and manipulate dashboards, datasources, alerts, incidents, on‑call schedules, and more.

Provides a visual interface and AI‑enhanced workflows for managing Nx and Lerna monorepos directly inside editors.

Provides a centralized dashboard and streamable HTTP endpoints to manage and route multiple MCP servers, supporting dynamic configuration, group‑based access, JWT authentication, Docker deployment, and experimental smart routing.

Provides real-time web access for AI models, delivering search, markdown‑ready scraping, and optional browser automation while bypassing geo‑restrictions, rate limits, and CAPTCHAs.

Provides a GraphQL federation gateway that composes multiple data sources into a unified graph with advanced governance, analytics, and performance features.

Integrates Stripe's APIs into LLM‑driven agent workflows via Python and TypeScript libraries, exposing tool definitions compatible with Model Context Protocol for seamless function calling.

Provides a Model Context Protocol server that stores and retrieves semantic memories using Qdrant vector search, acting as a semantic memory layer.

Provides integration with Terraform Registry APIs, enabling automation and interaction for Infrastructure as Code development via Model Context Protocol.

Provides a proxy that forwards Model Context Protocol requests from external clients to JetBrains IDEs, enabling code‑related assistance tools to interact with IntelliJ‑based editors.

Provides semantic search and fetch capabilities for Microsoft official documentation, returning content in markdown format via a lightweight streamable HTTP transport for AI agents and development tools.

Provides real‑time web search, intelligent data extraction, structured website mapping, and systematic crawling through an MCP server, ready to be integrated with AI coding assistants and other tools.

Provides enterprise‑grade open source software supply chain security by scanning source code, dependencies, containers and SBOMs, detecting vulnerabilities and malicious packages, and enforcing policy as code.

Provides a universal memory service with semantic search, intelligent memory triggers, OAuth‑enabled team collaboration, and multi‑client support for Claude Desktop, Claude Code, VS Code, Cursor and over a dozen AI applications.

Enables bidirectional integration of large language models with ROS‑enabled robots, allowing natural language commands and real‑time access to robot state, topics, services and parameters.

Enables real-time interaction with Jupyter notebooks, allowing AI to edit, document, and execute code for data analysis, visualization, and multimodal output.

Enables natural‑language interaction with Neo4j databases, allowing large language models to query, modify, and manage graph data through multiple transport modes.

Provides a Model Context Protocol server that enables interaction with MongoDB databases and MongoDB Atlas clusters through a unified API.

Provides tools to scrape, extract structured data, crawl webpages, and access general‑purpose browser agents such as OpenAI CUA, Anthropic Claude Computer Use, and lightweight Browser Use via a Model Context Protocol server.

Offers an MCP server that lets LLMs, agents, and IDEs run Semgrep scans to detect security vulnerabilities in source code.

Provides an all-in-one sandbox environment that combines Browser, Shell, File operations, MCP services, and VSCode Server inside a single Docker container, enabling unified, secure execution for AI agents and developers.

Provides access to income statements, balance sheets, cash flow statements, stock prices, market news, and cryptocurrency data through MCP tools for AI assistants.

Provides AI assistants with instant, natural‑language access to Apple Developer Documentation, frameworks, Swift/Objective‑C APIs, WWDC video transcripts, and sample code across iOS, macOS, watchOS, tvOS, and visionOS.

Interact with Neon Postgres databases using natural language commands through the Model Context Protocol, enabling conversational database creation, migration, and query execution.

Provides coding agents with direct access to Chrome DevTools for browser automation, debugging, and performance analysis.

Integrates the LINE Messaging API with a Model Context Protocol server, enabling AI agents to send text, flex, broadcast messages, retrieve user profiles, and manage rich menus on a LINE Official Account.

Enables natural‑language interaction with Elasticsearch indices via the Model Context Protocol, exposing tools for listing indices, fetching mappings, performing searches, running ES|QL queries, and retrieving shard information.

Install, manage, and develop Model Context Protocol (MCP) servers via a client‑agnostic command‑line interface.

Enables integration between MCP clients and the Graphlit platform, providing ingestion, extraction, retrieval, and RAG capabilities across a wide range of data sources and connectors.

Offers a comprehensive suite of geospatial APIs and tools for developers and AI agents, enabling geocoding, reverse geocoding, POI search, route planning, weather, traffic, IP location, and real‑time traffic queries via standardized MCP interfaces.

Deploy applications to Google Cloud Run via MCP, enabling AI agents, CLI extensions, and IDE integrations to perform deployments, list services, retrieve logs, and manage GCP projects.

Enables SQL analytics on DuckDB and MotherDuck databases via a Model Context Protocol server, allowing AI assistants and IDEs to query data directly.