Best Artificial Intelligence Software for Model Context Protocol (MCP) - Page 2

Compare the Top Artificial Intelligence Software that integrates with Model Context Protocol (MCP) as of July 2025 - Page 2

This a list of Artificial Intelligence software that integrates with Model Context Protocol (MCP). Use the filters on the left to add additional filters for products that have integrations with Model Context Protocol (MCP). View the products that work with Model Context Protocol (MCP) in the table below.

  • 1
    ByteRover

    ByteRover

    ByteRover

    ByteRover is a self-improving memory layer for AI coding agents that unifies the creation, retrieval, and sharing of “vibe-coding” memories across projects and teams. Designed for dynamic AI-assisted development, it integrates into any AI IDE via the Memory Compatibility Protocol (MCP) extension, enabling agents to automatically save and recall context without altering existing workflows. It provides instant IDE integration, automated memory auto-save and recall, intuitive memory management (create, edit, delete, and prioritize memories), and team-wide intelligence sharing to enforce consistent coding standards. These capabilities let developer teams of all sizes maximize AI coding efficiency, eliminate repetitive training, and maintain a centralized, searchable memory store. Install ByteRover’s extension in your IDE to start capturing and leveraging agent memory across projects in seconds.
    Starting Price: $19.99 per month
  • 2
    Portia

    Portia

    Portia

    Portia AI is an open source developer framework (with optional cloud services) that lets teams rapidly build, deploy, and monitor stateful, authenticated AI agents with full visibility and control. Developers start by prompting the SDK to generate explicit, structured multi-step “plans” that weave together LLM reasoning and tool calls, then run those plans step-by-step, enriching plan state at each stage and pausing for clarifications (human or machine) whenever authentication or missing data is required. With its unified auth framework and plug-and-play tool catalog, Portia handles credentials and permissions for remote API and MCP tool invocations automatically. The complementary cloud offering adds persistent storage of plan run states, historical logs, telemetry dashboards, and managed scaling so production deployments stay reliable, auditable, and compliant in regulated environments.
    Starting Price: $30 per month
  • 3
    TensorBlock

    TensorBlock

    TensorBlock

    TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.
    Starting Price: Free
  • 4
    Deepgram Saga
    Deepgram Saga is the Voice OS for developers, enabling hands-free workflows across your entire development environment without clicks or context switching. Saga connects to MCP servers to trigger sequences across code repositories, issue trackers, and communication channels via a single natural-language interface. Developers can use voice prompts to perform basic actions, like setting Slack status, drafting emails, finding and reading files, extracting CSS from Figma designs or checking who’s on-call, and advanced flows such as updating tasks as you work, searching for code snippets and adding them to files, or breaking big items into smaller tasks. Saga’s Vibe Coding feature seamlessly integrates AI assistants (Cursor, Replit, Windsurf, and more) so you can drive exploration and edits without prompt hacking or switching windows.
    Starting Price: $4,000 per year
  • 5
    Composio

    Composio

    Composio

    Composio is an integration platform designed to enhance AI agents and Large Language Models (LLMs) by providing seamless connections to over 150 tools with minimal code. It supports a wide array of agentic frameworks and LLM providers, facilitating function calling for efficient task execution. Composio offers a comprehensive repository of tools, including GitHub, Salesforce, file management systems, and code execution environments, enabling AI agents to perform diverse actions and subscribe to various triggers. The platform features managed authentication, allowing users to oversee authentication processes for all users and agents from a centralized dashboard. Composio's core capabilities include a developer-first integration approach, built-in authentication management, an expanding catalog of over 90 ready-to-connect tools, a 30% increase in reliability through simplified JSON structures and improved error handling, SOC Type II compliance ensuring maximum data security.
    Starting Price: $49 per month
  • 6
    Glama

    Glama

    Glama

    Glama.ai is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily build, manage, and connect MCP-compatible services with AI agents such as Claude and GPT-4.
    Starting Price: $26/month/user
  • 7
    Claude Haiku 3
    Claude Haiku 3 is the fastest and most affordable model in its intelligence class. With state-of-the-art vision capabilities and strong performance on industry benchmarks, Haiku is a versatile solution for a wide range of enterprise applications. The model is now available alongside Sonnet and Opus in the Claude API and on claude.ai for our Claude Pro subscribers.
  • 8
    Azure AI Foundry
    Azure AI Foundry is a unified application platform for your entire organization in the age of AI. Azure AI Foundry helps bridge the gap between cutting-edge AI technologies and practical business applications, empowering organizations to harness the full potential of AI efficiently and effectively. Azure AI Foundry is designed to empower your entire organization—developers, AI engineers, and IT professionals—to customize, host, run, and manage AI solutions with greater ease and confidence. This unified approach simplifies the development and management process, helping all stakeholders focus on driving innovation and achieving strategic goals. Azure AI Foundry Agent Service is a powerful component designed to facilitate the seamless operation of AI agents throughout the entire lifecycle—from development and deployment to production.
  • 9
    Sky

    Sky

    Sky

    Sky is an AI-powered assistant designed for macOS, offering natural computing capabilities that allow users to interact with their computers through natural language. It overlays your current activities, enabling seamless access to AI assistance across various tasks such as chatting, writing, planning, and coding. Sky understands the context of what's on your screen and can execute actions using your existing applications. Users can customize Sky with personalized prompts, scripts, shortcuts, and Model Context Protocols (MCPs), tailoring the experience to their specific workflows. This integration aims to make computing more intuitive by bridging the gap between human language and computer operations. Sky is scheduled for release in the summer of 2025, with more information available on its official website.
  • 10
    SchemaFlow

    SchemaFlow

    SchemaFlow

    SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships.
  • 11
    11.ai

    11.ai

    ElevenLabs

    11.ai is a voice-first AI assistant built on ElevenLabs Conversational AI that connects your voice to everyday workflows via the Model Context Protocol (MCP), enabling hands-free planning, research, project management, and team communication. By integrating out of the box with tools such as Perplexity for live web research, Linear for issue tracking, Slack for messaging, and Notion for knowledge management, and supporting custom MCP servers, 11.ai can interpret sequential voice commands, contextualize data, and take meaningful actions. It delivers real-time, low-latency interactions with multimodal support (voice and text), integrated retrieval-augmented generation, automatic language detection for seamless multilingual conversations, and enterprise-grade security (including HIPAA compliance).
  • 12
    Claude Computer Use
    Claude, developed by Anthropic, is an advanced conversational AI model that now includes a revolutionary capability called computer use. This feature allows Claude to interact with a computer in a way that mimics human behavior, such as moving a cursor, clicking buttons, and typing. The goal of computer use is to automate complex workflows and tasks that require interaction with multiple applications, such as filling out forms or conducting research. Although still in public beta, this feature marks a significant step forward in creating AI models that can function independently within computing environments, making them more versatile in business applications like software testing, automation, and task completion.