Interact with Hugging Face datasets via an MCP server, enabling browsing, searching, filtering, and analysis of public and private collections.

Provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and persistent storage for documents.

Interact with the arXiv API using natural language to retrieve article metadata, download PDFs, perform searches, and load full texts into large language model contexts.

Provides video generation and status checking via the json2video API for seamless integration with LLMs, agents, and other MCP‑compatible clients.

Provides an MCP server that exposes Redis operations as resources and tools for LLM integration, enabling caching, key‑value storage, list, hash, set, and Pub/Sub interactions with automatic reconnection handling.

Provides Unity Catalog Functions as MCP tools, enabling language models to list, retrieve, create, and delete catalog functions directly from a running server.

Extends the Model Context Protocol to serve any Python command‑line application, allowing CLI tools to be accessed programmatically through MCP.

Implementation of the Model Context Protocol for Oat++ that enables automatic generation of LLM‑compatible tools, prompts, and resources with transport options via STDIO or HTTP Server‑Sent Events.

Capture high‑quality screenshots and retrieve browser console logs from any web page using Playwright, exposed via an MCP server for AI agents.

Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, exposing diagnostics, proof goals, hover documentation, and a suite of external search tools.

Provides tools to start, stop, and query Toggl time entries through a Model Context Protocol server.

Installs Model Context Protocol servers within Cursor IDE by providing a Git URL, npm package, or local directory, handling path resolution, schema detection, and configuration automatically.

Provides Google Calendar integration for AI assistants, enabling event listing, creation, updating, deletion, free/busy queries, recurring event handling, and smart scheduling via natural language.

Provides a stdio MCP server that exposes all ServiceNow Fluent SDK commands, API specifications, code snippets, and instructional resources for seamless integration with AI‑driven development environments.

Enables popular agent frameworks, including MCP, to integrate with Maton APIs via function calling, providing TypeScript support and a ready‑to‑run MCP server.

Provides a Model Context Protocol (MCP) server for interacting with Vertica databases, enabling query execution, streaming, bulk loading, and schema management.

Provides a platform‑agnostic server that enables agents and LLMs to interact with native iOS and Android applications via structured accessibility snapshots or coordinate‑based taps, running on simulators, emulators, or physical devices.

Enables AI models to retrieve DSL data from MasterGo design files via a standalone service that runs with npx and only requires a Node.js environment.

Provides access to Lark Bitable tables via the Model Context Protocol, enabling users to list, describe, and query tables with predefined tools.

Generate custom AI‑powered memes and convert them into Telegram or WhatsApp stickers without requiring external APIs.

Provides document search capabilities through Apache Solr, exposing Model Context Protocol (MCP) resources and tools for LLMs to query, filter, sort, and retrieve documents via both MCP and direct HTTP interfaces.

Provides natural‑language search and recommendation for Model Context Protocol servers, delivering rich metadata and real‑time updates.

Provides secure, programmatic access to the local filesystem via the Model Context Protocol, enabling read, write, copy, move, delete, and search operations with built‑in path validation and MIME type detection.

Provides local RAG‑style web search capabilities for LLMs by fetching DuckDuckGo results, generating embeddings with MediaPipe, ranking relevance, and returning extracted markdown content without external APIs.

Creates a virtual travel environment where an avatar moves along Google Maps routes, generates street‑view images, overlays a customizable avatar, and can report progress to Bluesky SNS—all controllable via LLM prompts.

Executes AWS Athena SQL queries via a Model Context Protocol server and returns results directly to AI assistants.

Offers a unified JSON interface for Ergo blockchain data by converting heterogeneous API responses (JSON, Markdown, plain text) into a consistent structure and adds advanced analytics such as address clustering, token history tracking, and token‑estimation for LLM‑friendly usage.

Provides a Model Context Protocol server that enables executing full MATLAB scripts or individual sections, preserving workspace state, capturing plots, and interfacing with Cline or other MCP‑compatible clients.

Access and analyze social media metrics, campaign data, and schedule posts via the Metricool API.

Provides a Model Context Protocol server that bridges Trello with AI assistants, enabling natural‑language management of boards, lists, and cards.

Provides search, installation, and proxy functionalities for MCP servers, combining Nacos service discovery with optional Compass API support and offering both router and proxy operating modes.

Provides a native Go‑based implementation that exposes Kubernetes and OpenShift resources via the Model Context Protocol, enabling AI agents and other clients to perform CRUD operations, pod management, Helm actions, and more without external CLI tools.