Best Artificial Intelligence Software for Model Context Protocol (MCP) - Page 3
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Compare the Top Artificial Intelligence Software that integrates with Model Context Protocol (MCP) as of September 2025 - Page 3
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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.
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1
CData Connect AI
CData
CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports. -
2
Axway Amplify
Axway
To become the hero, not the roadblock, many IT departments are investing in integration platforms that let users accomplish projects themselves, instead of waiting for an IT specialist. Whether it’s cutting the budget, struggling to get to the cloud, or tackling a growing project backlog, IT is challenged like never before. To become the hero, not the roadblock, many IT organizations are investing in platforms that let users accomplish projects themselves, instead of waiting for an IT specialist. Axway Amplify Platform is the enterprise integration platform that that can hide integration complexity, enforce IT policy, and scale at will, enabling your teams to: Stop repetitive one-off integrations, and focus on reusable integrations that can be leveraged by wider internal and external teams. Gain cloud cost savings and increase scale by moving on-premises integration silos to the cloud, or by leveraging them in place with hybrid deployment, and much more. -
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Pipedream
Pipedream
The fastest way to integrate APIs and run code. Pipedream is a serverless integration and compute platform that makes it easy to connect apps and develop event-driven workflows. Event sources turn any API into a real-time event stream. Create event sources to listen for new Tweets, Github events, Airtable records, RSS items, webhook events and more. Inspect events in a human-friendly way, trigger Node.js workflows on every event, or consume events in your own app via API. Workflows are composed of Node.js code steps that run on every event. Write your own Node.js (and use any npm package) or reuse actions that scaffold popular APIs. Trigger via sources or a custom URL, email address, SDK code or schedule. Auth apps once, connect to those apps in any workflow. Pipedream supports OAuth and key-based auth, and handles the OAuth flow and token refresh for you. Just link accounts to steps and reference the relevant auth info in code.Starting Price: Free -
4
Le Chat
Mistral AI
Le Chat is a conversational entry point to interact with the various models from Mistral AI. It offers a pedagogical and fun way to explore Mistral AI’s technology. Le Chat can use Mistral Large or Mistral Small under the hood, or a prototype model called Mistral Next, designed to be brief and concise. We are hard at work to make our models as useful and as little opinionated as possible, although much remain to be improved! Thanks to a tunable system-level moderation mechanism, Le Chat warns you in a non-invasive way when you’re pushing the conversation in directions where the assistant may produce sensitive or controversial content.Starting Price: Free -
5
Claude Haiku 3
Anthropic
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. -
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Azure AI Foundry
Microsoft
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. -
7
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. -
8
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. -
9
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). -
10
Rube
Rube
Rube is a universal MCP (Model Context Protocol) server that enables AI chat clients to perform real-world actions across 500+ applications, including Gmail, Slack, GitHub, Notion, and more. Once installed, users authenticate their apps just once, and then, via natural language within their AI chat, they can instruct Rube to execute tasks like sending emails, creating tasks, updating databases, or posting updates. It intelligently manages authentication, API routing, and context handling behind the scenes, allowing for seamless multi-step workflows, such as fetching data from one app and sending it to another, without manual setup. Rube supports both individual and team use: shared connections let teammates access apps through a single, unified interface, while integrations persist across different AI clients. Built on Composio’s secure infrastructure, Rube ensures encrypted OAuth flows and SOC‑2 compliant practice, all wrapped in a streamlined, chat-first automation experience. -
11
Auggie CLI
Augment Code
Auggie CLI brings Augment’s intelligent coding agent directly into your terminal by leveraging its powerful context engine to analyze code, make edits, and execute tools both interactively and within automated workflows. Developers can install it via npm (requiring Node.js 22+ and a compatible shell), then launch a full-screen interactive session using auggie, complete with real-time streaming, visual progress, and conversational tooling, for debugging, feature development, PR review, or triaging alerts. For automation, Auggie offers streamlined modes ideal for CI/CD pipelines and background tasks. The CLI also supports custom slash commands for repeatable workflows, integrates with external tools and systems via native integrations and Model Context Protocol (MCP) servers, and can be scripted in pipelines or GitHub Actions for tasks like auto-generating PR descriptions. -
12
Incredible
Incredible
Incredible is a no-code automation platform powered by agentic AI models designed for real work across applications, letting users create AI “coworkers” that perform complex, multi-step workflows merely by describing tasks in plain English. These AI agents integrate with hundreds of productivity tools, CRMs, ERPs, email systems, Notion, HubSpot, OneDrive, Trello, Slack, and more to perform actions like content repurposing, CRM health checks, contract reviews, and content calendar updates without writing any code. Its architecture supports parallel execution of hundreds of actions with low latency and handles large datasets efficiently, dramatically reducing token limitations and hallucinations in data-critical tasks. The latest model, Incredible Small 1.0, is available in research preview and via API as a drop-in alternative to other LLM endpoints, offering high-precision data processing, near-zero hallucination, and enterprise-scale automation. -
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Google’s Agent Payments Protocol (AP2) is an open protocol designed together with over 60 payments, fintech, and tech companies (e.g., Mastercard, PayPal, Adyen, Coinbase, Etsy) to enable secure, agent-led transactions across platforms. It builds on earlier open standards like Agent2Agent (A2A) and the Model Context Protocol (MCP) to ensure that when an AI agent initiates or completes a payment on behalf of a user, three core requirements are met: authorization (proving the user explicitly gave permission for that specific purchase), authenticity (ensuring the agent’s intended purchase matches what the user meant), and accountability (clear audit trails and responsibility in case of errors or fraud). The protocol uses mandates, which are cryptographically signed digital contracts backed by verifiable credentials.
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14
Gentoro
Gentoro
Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack. -
15
8090 Software Factory
8090 Solutions
8090 describes itself as a next-generation software factory platform that aims to let individuals or small teams build production-quality software without needing a full engineering team. Its offering includes modules like refinery, foundry, planner, assembler, and validator, components intended to streamline the software building lifecycle from specification to deployment. It sits in beta and is currently invite-only via a waitlist, with account, billing, and team management features rolling out gradually. Key frameworks include xRx, a multimodal conversational AI framework developed by 8090 that helps orchestrate reasoning systems across different modalities. 8090 positions itself as an incubator and platform, with the promise of delivering 80% feature-complete versions of enterprise software at dramatically reduced cost by combining AI and offshoring. -
16
Claude Computer Use
Anthropic
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. -
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Sita
Sita
Sita cuts AI spend by 30% and saves 25 hours per developer each month by automating search and documentation. It turns code, messages, and docs into a knowledge graph and feeds only relevant context to your coding tools, cutting input tokens by 32%. Sita also keeps your docs up to date and helps ship features 37% faster with 68% fewer bugs. We onboard you with white-glove support in one hour. Sita works with or without your current tools and can power them through MCP or our own agent.