Latest MCP Servers

Interact with put.io to list active transfers, add new ones via URL or magnet link, cancel transfers, and retrieve browser links for completed downloads using Model Context Protocol.

Provides version information of the Magic Meal Kits API to AI assistants via a Model Context Protocol server.

Unblock, scrape, and convert web content into clean markdown while providing CDN‑style caching for AI agents, enabling reliable, rate‑limited‑free access to web pages, PDFs, images, and more.

Provides a CLI‑based server that exposes PubNub SDK documentation, API references, and real‑time messaging tools to LLM‑powered development environments via JSON‑RPC over STDIN/STDOUT.

Connects AI agents and assistants to Postman APIs, enabling natural‑language access to workspaces, collections, environments, and API specifications.

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.

Provides a Model Context Protocol server that exposes Port data and actions through natural‑language queries, enabling advanced automations, scorecard analysis, resource creation, and permission management.

Provides automated cost‑analysis and optimization recommendations for AWS accounts by integrating Cost Explorer, Cost Optimization Hub, Compute Optimizer, Trusted Advisor, and Performance Insights, and exposing the functionality through a Model Context Protocol (MCP) server.

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 remote MCP servers with OAuth 2.1 authentication and authorization for workshop applications.

Provides a standardized interface for AI models to retrieve performance data, visualize creatives, and manage Meta advertising campaigns across Facebook, Instagram, and other Meta platforms.

Enables AI‑driven automation of the PlayCanvas Editor using language‑model commands through an MCP server.

Provides a Python SDK to interact with TiDB for unified vector, full‑text, and hybrid search, including automatic embeddings and transaction support.

Enable AI assistants to interact with Pinecone projects, allowing documentation search, index configuration, code generation, and data operations directly from development environments.

Retrieves information from Pinecone Assistant via an MCP server, offering configurable result limits and easy Docker deployment.

Provides a standardized interface for running powerful LLM system optimizations, evaluations, and experiments via the Model Context Protocol.

Enables AI assistants to interact with Paper's trading API, fetching real‑time quotes, placing simulated orders, and inspecting portfolio positions and P&L.

Provides a deterministic MCP server environment for building and running code-generating agents, streamlining the development of agentic applications across multiple programming languages.

Provides BIN lookup functionality by querying the Pagos API, optionally returning enhanced data attributes.

Enables AI models to access, render, and extract clean, structured data from any website through a single API.

Provides tools to interact with Gitee's API, enabling AI assistants to manage repositories, issues, pull requests, and notifications.

Interact with Optuna APIs through Model Context Protocol, providing primitive functions for study management, trial suggestion, result reporting, visualizations, and a web dashboard.

Provides AIs with read‑only access to OpsLevel resources through the Model Context Protocol, enabling AI assistants to query actions, components, teams, and other platform data.

Enables AI agents to access a wide range of OP.GG gaming data through standardized function calls, simplifying integration of live stats, leaderboards, and meta information into AI-driven applications.

A Model Context Protocol server that lets AI assistants interact with OpenSearch clusters to perform searches, retrieve mappings, manage shards, and execute a wide range of cluster‑level operations via stdio or streaming transports.

Create and send proposals via AI using the Offorte API.

Enables secure interaction with OceanBase databases and related tools through a Model Context Protocol server.

Provides AI assistants access to Gyazo images through Model Context Protocol, exposing image resources, search, fetch, and upload tools.