Business Software for Model Context Protocol (MCP)

Mastra is an open-source TypeScript framework that allows developers to build AI agents capable of performing tasks, managing knowledge, and retaining memory across interactions. With a clean and intuitive API, Mastra simplifies the creation of complex agent workflows, enabling real-time task execution and seamless integration with machine learning models like GPT-4. The framework supports task orchestration, agent memory, and knowledge management, making it ideal for applications in automation, personalized services, and complex systems.

Activepieces is an intuitive, open-source automation platform that enables teams to build powerful AI-driven workflows without any coding. With 280+ pre-built automation pieces (MCPs), users can easily integrate various applications, streamline repetitive tasks, and automate business processes. The platform offers no-code tools for creating chat interfaces, automating approvals, and generating AI-powered agents. Whether for small businesses or large corporations, Activepieces supports decentralized innovation and seamless collaboration, empowering teams to automate daily operations, improve productivity, and unlock the full potential of AI in their workflows.

Anthropic’s Max Plan for Claude is tailored for users who regularly engage with Claude and need more usage capacity. The Max Plan offers two tiers—expanded usage with 5x more usage than the Pro plan, and maximum flexibility with 20x more usage, both designed to handle substantial projects like document analysis, data processing, and deep conversations. It ensures businesses and individuals can collaborate extensively with Claude, without worrying about usage restrictions, while also gaining access to new features and enhanced capabilities for even better results.

Agent2Agent (A2A) is a protocol designed to enable AI agents to communicate and collaborate efficiently. By providing a framework for agents to exchange knowledge, tasks, and data, A2A enhances the potential for multi-agent systems to work together and perform complex tasks autonomously. This protocol is crucial for the development of advanced AI ecosystems, as it supports smooth integration between different AI models and services, creating a more seamless user experience and efficient task management.

GrimoAI serves as an AI-enhanced text editing tool that works alongside users during their writing endeavors instead of taking over their role. By incorporating sophisticated AI models such as DeepSeek R1, Claude 3.7 Sonnet, OpenAI GPT-4, and o3-mini, it aids in both content generation and editing tasks. Users can take advantage of voice input capabilities, allowing them to speak rather than type their text, while also enjoying real-time and asynchronous collaboration, which removes the hassle of file exchanges. The platform includes features for web searches, file integration, and direct access to Reddit content, allowing for easy referencing of reliable information within the writing interface. Additionally, GrimoAI boasts tools for generating and refining prompts, alongside templates contributed by the community that are designed for production use, all aimed at boosting writing productivity. Its focus on a user-friendly experience highlights its mission to enhance the writing journey through smart assistance and collaborative features, ultimately making the process more enjoyable and efficient. This unique blend of functionalities positions GrimoAI as an indispensable partner for writers seeking to elevate their craft.

DeerFlow is a collaborative research framework that leverages the remarkable contributions of the open-source community. Our mission is to integrate language models with tailored tools for activities such as web searching, crawling, and executing Python code, all while ensuring we contribute back to the community that supported our journey. The innovative multi-agent architecture of DeerFlow enables agents to collaborate, divide tasks, and tackle intricate challenges efficiently. This makes DeerFlow particularly well-suited for automated research and sophisticated AI processes, providing both dependability and scalability. You can witness the power of agent collaboration through our supervisor and handoff design pattern. DeerFlow is designed to address genuine research and automation hurdles, allowing users to create intelligent workflows that utilize multi-agent interaction and enhanced search capabilities. Beyond simply being a research instrument, DeerFlow serves as a robust platform for developing cutting-edge AI applications, paving the way for future advancements in the field. By harnessing the collective power of agents, DeerFlow opens up new possibilities for innovation and efficiency in research endeavors.

DeckSpeed is an innovative AI-driven presentation platform that generates tailored, high-quality slides derived from user discussions, eliminating the use of standard templates. Users can articulate their requirements, examine draft presentations, and offer feedback, which allows the AI to modify content and design dynamically. The tool boasts features such as 3D model creation, advanced image synthesis, one-click professional charts, and immediate data visualization capabilities. By moving away from conventional template structures, DeckSpeed delivers genuinely customized presentations that showcase unique creativity and style. Many users have expressed substantial time savings and enhanced satisfaction with the visual appeal and flexibility that DeckSpeed offers, making it a standout choice for anyone seeking to elevate their presentation experience. Furthermore, the platform encourages collaboration and adaptability, ensuring that every presentation is as unique as the ideas it represents.

Klavis AI delivers open source infrastructure designed to streamline the utilization, development, and expansion of Model Context Protocols (MCPs) for artificial intelligence applications. With MCPs, tools can be integrated dynamically at runtime in a uniform manner, which removes the requirement for preconfigured setups during the design phase. Klavis AI supplies secure and hosted MCP servers, which alleviates the burden of authentication management and client-side code. This platform facilitates integration with a diverse range of tools and MCP servers, ensuring flexibility and adaptability. Klavis AI's MCP servers are not only stable and trustworthy but are also hosted on dedicated cloud infrastructure, with support for OAuth and user-based authentication to ensure secure access and effective management of user resources. Furthermore, the platform features MCP clients available on Slack, Discord, and web interfaces, allowing users to access MCPs directly from these popular communication platforms. In addition, Klavis AI offers a standardized RESTful API for seamless interaction with MCP servers, empowering developers to incorporate MCP capabilities into their applications with ease. This comprehensive approach ensures that developers have the tools they need to efficiently harness the power of MCPs in their AI projects.

OpenTools serves as an API platform that empowers developers to enhance large language models (LLMs) with dynamic features like web searches, location information, and web scraping, all through a single, cohesive interface. By connecting to a registry of Model-Context Protocol (MCP) servers, OpenTools enables LLMs to utilize various tools without the necessity of separate API keys for each. The platform is designed to be compatible with numerous LLMs, including those facilitated by OpenRouter, and offers robustness against service interruptions, allowing for effortless transitions between different models. Developers can easily invoke tools by making straightforward API calls, where they indicate their preferred model and the tools they wish to use, while OpenTools manages both authentication and execution on their behalf. Remarkably, the service only incurs charges for successful tool executions, featuring a transparent, cost-effective token pricing system that is overseen through a streamlined billing portal. This strategy significantly eases the incorporation of external tools into LLM applications and minimizes the intricacies associated with managing multiple APIs, making it an attractive option for developers seeking efficiency in their projects. Overall, OpenTools represents a pivotal innovation in enhancing the functionality of language models by simplifying access to vital external resources.

Gemini CLI is an open-source command line interface that brings the full power of Gemini’s AI models into developers’ terminals, offering a seamless and direct way to interact with AI. Designed for efficiency and flexibility, it enables coding assistance, content generation, problem solving, and task management all through natural language commands. Developers using Gemini CLI get access to Gemini 2.5 Pro with a generous free tier of 60 requests per minute and 1,000 daily requests, supporting both individual users and professional teams with scalable paid plans. The platform incorporates tools like Google Search integration for dynamic context, Model Context Protocol (MCP) support, and prompt customization to tailor AI behavior. It is fully open source under Apache 2.0, encouraging community input and transparency around security. Gemini CLI can be embedded into existing workflows and automated via non-interactive script invocation. This combination of features elevates the command line from a basic tool to an AI-empowered workspace. Gemini CLI aims to make advanced AI capabilities accessible, customizable, and powerful for developers everywhere.

ByteRover serves as an innovative memory enhancement layer tailored for AI coding agents, facilitating the creation, retrieval, and sharing of "vibe-coding" memories among various projects and teams. Crafted for a fluid AI-supported development environment, it seamlessly integrates into any AI IDE through the Memory Compatibility Protocol (MCP) extension, allowing agents to automatically save and retrieve contextual information without disrupting existing workflows. With features such as instantaneous IDE integration, automated memory saving and retrieval, user-friendly memory management tools (including options to create, edit, delete, and prioritize memories), and collaborative intelligence sharing to uphold uniform coding standards, ByteRover empowers developer teams, regardless of size, to boost their AI coding productivity. This approach not only reduces the need for repetitive training but also ensures the maintenance of a centralized and easily searchable memory repository. By installing the ByteRover extension in your IDE, you can quickly begin harnessing and utilizing agent memory across multiple projects in just a few seconds, leading to enhanced team collaboration and coding efficiency.

Portia AI is an open-source developer framework that includes optional cloud services, enabling teams to quickly create, deploy, and oversee stateful, authenticated AI agents while maintaining full visibility and control over the process. Developers initiate the process by using the SDK to generate clear, organized multi-step "plans" that integrate LLM reasoning with various tool calls, executing these plans incrementally and enhancing the plan state at each step, while also allowing for pauses to seek clarifications, whether from human users or machine inputs, when authentication or additional information is necessary. With its cohesive authentication framework and an easily customizable tool catalog, Portia automatically manages the credentials and permissions needed for remote API and MCP tool calls. Furthermore, the accompanying cloud solution provides persistent storage for plan execution states, historical log tracking, telemetry dashboards, and managed scaling, ensuring that production deployments remain dependable, traceable, and compliant with regulatory standards. This comprehensive approach not only simplifies the development process but also enhances the overall efficiency and effectiveness of AI agent deployments.

TensorBlock is an innovative open-source AI infrastructure platform aimed at making large language models accessible to everyone through two interrelated components. Its primary product, Forge, serves as a self-hosted API gateway that prioritizes privacy while consolidating connections to various LLM providers into a single endpoint compatible with OpenAI, incorporating features like encrypted key management, adaptive model routing, usage analytics, and cost-efficient orchestration. In tandem with Forge, TensorBlock Studio provides a streamlined, developer-friendly workspace for interacting with multiple LLMs, offering a plugin-based user interface, customizable prompt workflows, real-time chat history, and integrated natural language APIs that facilitate prompt engineering and model evaluations. Designed with a modular and scalable framework, TensorBlock is driven by ideals of transparency, interoperability, and equity, empowering organizations to explore, deploy, and oversee AI agents while maintaining comprehensive control and reducing infrastructure burdens. This dual approach ensures that users can effectively leverage AI capabilities without being hindered by technical complexities or excessive costs.

Deepgram Saga serves as the Voice OS tailored for developers, facilitating hands-free operations throughout the development process while eliminating the need for clicks or switching contexts. This innovative platform connects to MCP servers, allowing users to initiate sequences across various code repositories, issue tracking systems, and communication tools through a unified natural-language interface. Developers can utilize voice commands to execute fundamental tasks such as adjusting their Slack status, composing emails, locating and reviewing files, pulling CSS from Figma designs, or verifying on-call personnel. Additionally, they can engage in more complex workflows, including updating tasks in real time, searching for code snippets to insert into their projects, or breaking down larger tasks into manageable parts. Furthermore, Saga’s Vibe Coding feature effortlessly incorporates AI assistants like Cursor, Replit, and Windsurf to enhance exploration and editing processes without the hassle of prompt manipulation or window changes, ultimately streamlining the entire development experience for users. This combination of voice capabilities and AI integration positions Deepgram Saga as an essential tool for modern developers looking to optimize their workflow.

Composio serves as an integration platform aimed at strengthening AI agents and Large Language Models (LLMs) by allowing easy connectivity to more than 150 tools with minimal coding efforts. This platform accommodates a diverse range of agentic frameworks and LLM providers, enabling efficient function calling for streamlined task execution. Composio boasts an extensive repository of tools such as GitHub, Salesforce, file management systems, and code execution environments, empowering AI agents to carry out a variety of actions and respond to multiple triggers. One of its standout features is managed authentication, which enables users to control the authentication processes for every user and agent through a unified dashboard. Additionally, Composio emphasizes a developer-centric integration methodology, incorporates built-in management for authentication, and offers an ever-growing collection of over 90 tools ready for connection. Furthermore, it enhances reliability by 30% through the use of simplified JSON structures and improved error handling, while also ensuring maximum data security with SOC Type II compliance. Overall, Composio represents a robust solution for integrating tools and optimizing AI capabilities across various applications.

CrawlChat provides a simple solution for turning your website or documentation into interactive, AI-powered resources. By scraping content and converting it into structured embeddings, CrawlChat allows businesses to embed a smart AI chat widget or use APIs to automate answers to customer queries. Its integration with Discord bots and support for MCP servers enhances functionality, while customizable system prompts ensure the AI responses match your brand. With features like shareable links, detailed conversation tracking, and easy content scraping, CrawlChat is a versatile tool for improving engagement and knowledge-sharing.

Glama is a versatile AI-powered platform that enables users to leverage a wide range of models and tools for enhanced productivity. Whether you're analyzing documents, solving complex mathematical equations, or visualizing ideas in real time, Glama brings AI's full potential to your fingertips. With its customizable workspace, AI model comparison, and seamless integration with tools like API access and shared workspaces, Glama provides a powerful environment for businesses looking to improve workflows and boost collaboration, all while ensuring data security and transparency.

Visualize your microservices from your CDN to your databases, with external dependencies. Automately measure baselines and receive recommendations for SLIs or SLOs. Measure and understand the impact across microservices. Every change creates ripples in your connected system. Login API was affected by a security group's change? Last9 makes it easy for you to find the 'last change' that caused an incident. Last9 is a modern reliability platform. It leverages your existing observation tricks and allows you to build and enforce mental model on top of your data. This will help you cover infrastructure, service, product metrics with minimal effort. We love reliability and make it fun and embarrassingly simple to run systems at scale. Last9 uses the knowledge graph to automatically generate maps of all known infrastructure and service components.

Claude Haiku 3 stands out as the quickest and most cost-effective model within its category of intelligence. It boasts cutting-edge visual abilities and excels in various industry benchmarks, making it an adaptable choice for numerous business applications. Currently, the model can be accessed through the Claude API and on claude.ai, available for subscribers of Claude Pro, alongside Sonnet and Opus. This development enhances the tools available for enterprises looking to leverage advanced AI solutions.

Azure AI Foundry serves as a comprehensive application platform tailored for organizations navigating the AI landscape. By connecting advanced AI technologies with real-world business needs, Azure AI Foundry enables companies to fully leverage AI capabilities in a streamlined manner. This platform is specifically crafted to empower every member of an organization—ranging from developers and AI engineers to IT specialists—allowing them to easily customize, host, execute, and oversee AI solutions. Through this cohesive strategy, the development and management processes are significantly streamlined, allowing all participants to concentrate on fostering innovation and realizing their strategic objectives effectively. In doing so, Azure AI Foundry not only enhances individual productivity but also promotes collaborative efforts across various teams. Azure AI Foundry Agent Service provides a comprehensive solution for managing AI agents from the beginning to the end of their lifecycle. This powerful tool allows for smooth development, deployment, and production, ensuring that AI agents perform optimally at every stage. The service simplifies the management process, making it easier to track and optimize AI operations while minimizing potential issues in the lifecycle.

Sky is an innovative assistant powered by artificial intelligence, specifically tailored for macOS, which enables users to engage with their computers using natural language for a more intuitive experience. It seamlessly integrates with your ongoing activities, providing effortless AI support for a variety of tasks like chatting, writing, planning, and coding. By comprehending the context of your current screen content, Sky can perform actions through your existing applications efficiently. Users have the flexibility to personalize Sky with custom prompts, scripts, shortcuts, and Model Context Protocols (MCPs), allowing them to adapt the assistant to fit their individual workflows. The goal of this integration is to enhance the user experience by effectively linking human language with computer functionalities. Anticipation builds as Sky is set to launch in the summer of 2025, with further details accessible on its official website, promising to revolutionize how we interact with technology.

SchemaFlow is an innovative tool aimed at advancing AI-driven development by granting real-time access to PostgreSQL database schemas through the Model Context Protocol (MCP). It empowers developers to link their databases, visualize schema layouts using interactive diagrams, and export schemas in multiple formats including JSON, Markdown, SQL, and Mermaid. Featuring native MCP support via Server-Sent Events (SSE), SchemaFlow facilitates smooth integration with AI-Integrated Development Environments (AI-IDEs) such as Cursor, Windsurf, and VS Code, thereby ensuring that AI assistants are equipped with the latest schema data for precise code generation. Furthermore, it includes secure token-based authentication for MCP connections, automatic schema updates to keep AI assistants aware of modifications, and a user-friendly schema browser for effortless exploration of tables and their interrelations. By providing these features, SchemaFlow significantly enhances the efficiency of development processes while ensuring that AI tools operate with the most current database information available.

11.ai serves as a voice-centric AI assistant leveraging ElevenLabs Conversational AI and utilizes the Model Context Protocol (MCP) to link your voice to routine tasks, facilitating hands-free activities like planning, research, project management, and team collaboration. Its seamless integration with various platforms, including Perplexity for live online research, Linear for tracking issues, Slack for communication, and Notion for managing knowledge, alongside the ability to support custom MCP servers, allows 11.ai to understand and execute sequential voice commands while contextualizing information and performing significant tasks. This innovative assistant provides immediate, low-latency interactions and supports both voice and text modalities, offering features such as integrated retrieval-augmented generation, automatic detection of languages for fluid multilingual dialogue, and robust security measures that ensure compliance with industry standards like HIPAA. Furthermore, the versatility of 11.ai makes it an invaluable tool for teams seeking to enhance productivity and streamline their workflows efficiently.

Claude, created by Anthropic, represents a cutting-edge conversational AI model that has recently introduced a groundbreaking feature known as computer use. This functionality enables Claude to engage with a computer similarly to how a human would, performing actions like moving a cursor, clicking on buttons, and typing text. The primary aim of this computer use feature is to streamline intricate workflows and manage tasks that necessitate interaction with various applications, such as completing forms or performing research. While it is currently in a public beta phase, this advancement signifies a major leap towards developing AI systems capable of operating autonomously within computing environments. Consequently, it enhances their adaptability for various business applications, including software testing, automation, and efficient task execution. As this technology evolves, it may redefine how businesses leverage AI for increased productivity and effectiveness.