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Enables interaction with MinIO object storage through a standardized Model-Context Protocol interface. Supports listing buckets and objects, retrieving files, and uploading data to MinIO storage.

Enables AI assistants to manage MinIO object storage through comprehensive bucket operations, file uploads/downloads, batch processing, permissions management, and URL generation. Supports both automatic and manual connection modes with flexible authentication options.

Enables management of ride-sharing operations including searching for available drivers, calculating dynamic fares, creating and tracking trips, and monitoring driver statistics in real-time using Supabase as the backend.

A Model Context Protocol server that connects AI assistants to MISP threat intelligence platforms. It enables threat intelligence search, IOC lookup, and event analysis through natural conversation.

Enables management of Mistral AI agents through MCP tools including creating, listing, searching, viewing details, and deleting agents. Integrates with Mistral API to provide agent management capabilities through natural language interactions.

An MCP server that enables Claude to perform OCR on local files using Mistral AI's document processing capabilities. It converts documents and images into markdown format for seamless analysis and interaction.

Connects Claude to the SportRadar MLB API to access real-time baseball data including game schedules, live scores, player statistics, team standings, injury reports, and play-by-play information through natural language queries.

A unified MiniMax multimodal MCP server that enables users to access text, search, image understanding, image generation, speech synthesis, video generation, music generation, and quota query capabilities through AI CLI tools.

Persistent semantic memory for AI agents — hybrid SQLite + FTS5 with DAG-based summaries, context compaction, and 7 MCP tools. Open source, self-hosted, zero API cost.

Persistent memory engine for AI coding agents. Single Go binary, zero runtime dependencies, MCP-native. Stores, searches, and deduplicates memories across sessions using embedded SQLite with hybrid FTS + semantic search, memory decay, relation graph, and token-budget context assembly.

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.

An active, stateful software knowledge graph engine that serves as an 'all-knowing development partner' for AI agents and human developers by modeling software projects into queryable knowledge graphs.

Enables AI-powered mobile app testing and automation through Appium, using Azure OpenAI to intelligently navigate mobile applications and generate test cases.

A Node.js-based Model Context Protocol implementation that provides a standardized interface for integrating Mobile Security Framework's security analysis capabilities into automated workflows and third-party tools.

Create professional app store screenshots, device mockups, and marketing visuals from raw screenshots using AI. Mockupper helps agents generate polished presentation assets faster for launches, ads, and store listings. Requires a Mockupper MCP API key generated from the mobile app. Get X-API-Key from: https://damdafa.sng.link/Dt0bf/qlfh1/tdhk

Exposes Modal cloud functions as MCP tools for video rendering, voice synthesis, and app management. Enables LLM agents to execute Remotion renders, F5-TTS voice cloning, and monitor Modal applications via Supabase-backed infrastructure.

Facilitates enhanced interaction with large language models (LLMs) by providing intelligent context management, tool integration, and multi-provider AI model coordination for efficient AI-driven workflows.

A server implementation that provides a unified interface for OpenAI services, Git repository analysis, and local filesystem operations through REST API endpoints.

An MCP server that retrieves and provides AI model information from OpenAI, Anthropic, and Google through a unified interface.

Enables users to generate high-quality images using ModelScope's Qwen-Image model through natural language prompts. Supports async task processing with both image URL and base64 encoded data output options.