AI & ML

Enables seamless AI integration via Ollama's Deepseek model, providing protocol compliance and automatic configuration for clean AI-driven interactions.

This MCP server enforces pre-read checks and detailed commit documentation to prevent unauthorized file modifications, ensuring write and diff operations are preceded by explicit reads.

Enables integration and control of DeepSeek and Claude AI models through RESTful APIs, supporting seamless AI model operations with configurable parameters and robust error handling.

Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.

Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers.

This server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail.

Facilitates executing system commands and retrieving web data using the Brave Search API by interpreting user intents via a Large Language Model (LLM).

Provides web accessibility analysis and color blindness simulation using axe-core and Puppeteer, enabling detailed accessibility checks and visual simulations based on WCAG guidelines.

Facilitates initiating Ollama queries via Claude and manages a simple note storage system with capabilities to add, summarize, and access notes using custom URIs.

Empowers users to search and analyze mobile apps via the AppTweak API, providing insights into app store data, reviews, ratings, and keyword performance on iOS and Android platforms.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

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A simple MCP server that facilitates website fetching through a configurable server platform using stdio or SSE transport, allowing integration with tools like Cursor for streamlined access.

A server implementation that provides MCP-compatible access to Composio applications like Gmail and Linear, allowing interaction through a structured interface for language models.

A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.

This server allows users to perform web searches using Perplexity AI, providing a tool for retrieving search results through a simple API interface.

The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.

Facilitates multi-client processing for high-performance operations within the DigitalFate framework, enabling advanced automation through task orchestration and agent integration.

Facilitates integration of PrivateGPT with MCP-compatible applications, enabling chat functionalities and secure management of knowledge sources and user access.

This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.

Acts as a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management across platforms with standardized communication and secure token-based authentication.

FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.

Enables app store analytics and competitor analysis through AppTweak API, with tools for keyword research, download estimates, and user review insights.

A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).

Facilitates deployment and management of services using the Model Context Protocol with a focus on high availability, scalability, and secure communication, leveraging Docker-based infrastructure, Prometheus, and Grafana for monitoring.

Enables programmatic control over Roo's custom operational modes with full CRUD operations and schema validation, allowing for seamless mode configuration and management.

This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.

A Python-based server allowing seamless integration with JIRA for managing and interacting with projects through custom APIs.

Provides memory/knowledge graph storage capabilities using Supabase, enabling multiple Claude instances to safely share and maintain a knowledge graph with features like entity storage, concurrent access safety, and full text search.

An MCP server utilizing Supabase to provide memory and knowledge graph storage, enabling multiple Claude instances to share and manage data with database-level locking for safe concurrent access.