Top MCP Servers

Provides an MCP server that connects Claude Code to Google Gemini 3.1, enabling large‑scale code analysis, real‑time web search, multimodal image queries, and creative brainstorming directly within Claude.

Implements a Model Context Protocol server that lets clients such as Cursor or Windsurf manage 1Panel resources—including dashboards, system info, websites, certificates, applications, and databases—through stdio or SSE transports.

Send Instagram Direct Messages programmatically via an MCP server, enabling seamless interaction with AI assistants such as Claude or Cursor.

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.

Provides a Model Context Protocol server that lets LLMs manage Meilisearch indices, add or retrieve documents, and execute fast, natural‑language searches.

Enables AI agents to programmatically control TouchDesigner projects via a Model Context Protocol server, allowing creation, modification, deletion, and querying of nodes through Python scripts.

Provides a Model Context Protocol server that exposes SAT, SMT and constraint‑programming capabilities to large language models, enabling interactive model creation, editing and solving via MiniZinc, PySAT and Z3 backends.

Provides a Home Assistant integration that acts as an MCP server, directly connecting to Xiao Zhi AI official server via WebSocket, enabling Home Assistant entities to be accessed and controlled by Xiao Zhi AI without intermediaries.

Access and manage Langfuse prompts through the Model Context Protocol, enabling prompt discovery, retrieval, and compilation via MCP endpoints and compatible tool commands.

Enables LLMs to perform precise numerical calculations through a Model Context Protocol server.

Enables Make scenarios to be invoked as tools by AI assistants, handling parameter parsing and returning structured JSON results.

Provides secure, read‑only access to BigQuery datasets, allowing large language models to query and analyze data through a standardized interface.

Provides a local server that enables real‑time interaction with the Dynatrace observability platform, exposing tools for querying data, retrieving problems, sending Slack notifications, and integrating AI assistance.

Provides a Model Context Protocol server that exposes PostHog analytics, feature flags, error tracking, dashboards, experiments, LLM usage analytics, and documentation search to AI assistants and other client tools.

Integrates Discord bots with MCP‑compatible applications, enabling AI assistants to manage channels, send and edit messages, handle users, and retrieve server information for powerful automation.

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.

Provides Model Context Protocol tools for performing AWS S3 and DynamoDB operations, with automatic logging and audit access via the `audit://aws-operations` endpoint.

Provides a set of AI‑friendly tools for creating, reading, updating and deleting Backlog resources such as projects, issues, wiki pages, Git repositories and notifications, with optional response optimization and token limiting.

Provides hot‑reloadable prompt templates with chainable steps, quality gates, and structured reasoning frameworks for Claude and compatible MCP clients.

Provides AI assistants with direct access to Financial Modeling Prep data, including real‑time stock quotes, company fundamentals, financial statements, market indexes, news, and alternative data sets via the Model Context Protocol.

Enables AI LLMs to execute trades on the MetaTrader 5 platform through the Model Context Protocol.

Provides LLMs with the ability to inspect BigQuery schemas and execute SQL queries via the Model Context Protocol.

A comprehensive setup for Claude Code, Claude Desktop, and OpenAI Codex that provides ready‑to‑use commands, agents, hooks, and pre‑configured MCP servers to streamline daily development workflows.

Access authoritative Svelte 5 and SvelteKit definitions through a single, type‑safe tool that returns syntax, quick, or full documentation formats.

Provides AI‑driven conversational access to Wazuh SIEM data, allowing natural‑language queries, threat analysis, incident triage, and compliance checks through a Model Context Protocol‑compliant remote server.

Provides AI assistants with natural‑language access to Linear, allowing retrieval, creation, and updating of issues, projects, and teams.

Enables MCP‑compatible AI assistants to discover, register, communicate with, and manage tasks on Agent‑to‑Agent (A2A) agents through a unified server interface.

Centralizes ESP‑IDF commands and enables LLM‑driven interaction to streamline ESP32 project setup, building, flashing and issue fixing.

Provides real-time GUI dialogs for AI assistants to gather user input, present choices, confirmations, and feedback, enabling seamless human‑in‑the‑loop interactions.

Generate speech audio from text via ElevenLabs API and manage voice generation tasks through a Model Context Protocol server with a companion SvelteKit web client.

Provides seamless integration with Notion, enabling language models to search, read, create, and update pages and databases through standardized tools.

Provides AI-powered project management capabilities via a Model Context Protocol server, allowing assistants to create, list, update, and delete tasks and documents in Dart without directly handling the underlying API.