68 servers available
Discover and explore Model Context Protocol servers that provide tools, resources, and capabilities for AI applications.
by stripe
Provides SDKs and tools to integrate Stripe's billing and API services with large language models, agent frameworks, and token‑metering for AI‑powered products and businesses.
by MiniMax-AI
Enables interaction with powerful text‑to‑speech, image generation and video generation APIs through a Model Context Protocol server.
by redis
Offers a natural language interface that lets AI agents store, retrieve, and search data in Redis, handling strings, hashes, lists, sets, sorted sets, streams, JSON, and vector indexes.
by qdrant
Provides a Model Context Protocol server that stores and retrieves semantic memories using Qdrant vector search, acting as a semantic memory layer.
by perplexityai
Enables Claude and other MCP‑compatible applications to perform real‑time web searches through the Perplexity (Sonar) API without leaving the MCP ecosystem.
by mindsdb
Enables humans, AI agents, and applications to retrieve highly accurate answers across large‑scale data sources, unifying heterogeneous databases, warehouses, and SaaS platforms.
by IBM
A central management point that unifies REST, MCP, and streamable HTTP endpoints, providing federated discovery, authentication, rate‑limiting, observability, virtual servers, and an optional admin UI for AI tools, prompts, and resources.
by ComposioHQ
Connect AI chat tools to 500+ business and productivity apps, enabling plain‑English commands to trigger actions like sending emails, creating tasks, updating records, and more.
by ChromeDevTools
Provides a Model Context Protocol server that enables coding agents to control and inspect a live Chrome browser through Chrome DevTools, supporting reliable automation, deep debugging, and performance analysis.
by makenotion
Provides a remote Model Context Protocol server for the Notion API, enabling OAuth‑based authentication and offering token‑efficient tools tailored for AI agents.
by brightdata
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.
by line
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.
by jfrog
Provides repository management, build tracking, runtime monitoring, security scanning, and package catalog capabilities for the JFrog Platform via Model Context Protocol.
by heroku
Enables large language models to manage and operate Heroku platform resources directly through the Heroku CLI, exposing a set of tools for app, dyno, add‑on, pipeline, database, and team operations.
by exa-labs
Provides real-time web search capabilities to AI assistants via a Model Context Protocol server, enabling safe and controlled access to the Exa AI Search API.
by browserbase
Provides cloud browser automation capabilities for LLMs, enabling navigation, data extraction, screenshots, and session management via Browserbase and Stagehand.
by Roblox
Facilitates communication between Roblox Studio and AI assistants via a Model Context Protocol server, enabling tool execution such as model insertion and code running directly from prompts.
by JetBrains
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.
by IBM
Build, run, and deploy tools for AI agents, enabling seamless integration with LLM frameworks, data sources, and cloud endpoints.
by GoogleCloudPlatform
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.
by webflow
Provides a Model Context Protocol (MCP) server that lets AI agents call Webflow's Data API for site, page, component, CMS, and custom‑code operations.
by upstash
Provides an MCP server enabling natural‑language management of Upstash Redis databases via Node.js or Docker.
by ClickHouse
Enables AI assistants to run read‑only ClickHouse queries, list databases and tables, and execute embedded chDB queries through an MCP interface.
by upstash
Provides up-to-date, version‑specific library documentation and code examples directly inside LLM prompts, eliminating outdated information and hallucinated APIs.
by useparagon
Provides an embeddable integration platform that exposes Paragon ActionKit capabilities through a Model Context Protocol server, enabling AI agents to invoke SaaS services such as Google Calendar, Salesforce, and Slack.
by tinyfish-io
Extract structured data from any web page by invoking AgentQL's extraction tool through a Model Context Protocol server, enabling AI assistants to retrieve and format web information on demand.
by mem0ai
Manage coding preferences by storing, retrieving, and semantically searching code snippets, patterns, and documentation through an MCP‑based SSE server powered by Mem0.
by firstorderai
Provides seamless access to two‑factor authentication codes and passwords for AI agents, enabling automated login while maintaining security.
by datastax
Enables large language models to interact with Astra DB by exposing CRUD and query tools through a Model Context Protocol server.
by calvernaz
Provides access to Alpha Vantage stock market data via an MCP server, supporting stdio and HTTP streaming modes with optional OAuth 2.1 authentication.
by axiomhq
Enables AI agents to query Axiom data using Axiom Processing Language (APL) through a set of Model Context Protocol tools.
by awslabs
Provides specialized servers that expose AWS capabilities through the Model Context Protocol, enabling AI assistants to retrieve up-to-date documentation, execute API calls, and automate infrastructure workflows directly within development environments.