CoreSpeed

Product Introduction

1. Definition: CoreSpeed is a cloud-based operating system and unified MCP (Model Context Protocol) server for AI agents. It functions as a centralized access layer, providing authenticated connections to third-party applications, persistent memory, and built-in tools through a single, portable endpoint.
2. Core Value Proposition: CoreSpeed exists to eliminate the setup tax and fragmentation inherent in using AI agents for work. It provides a secure, portable, and governed layer that allows any AI agent—whether Claude Code, Cursor, or a custom model—to instantly access a user's authorized apps, shared memory, and toolset without managing individual API keys or losing context between sessions.

Main Features

1. Unified MCP Endpoint: CoreSpeed operates as a single, authenticated MCP server that any compatible AI agent can connect to. This technical architecture abstracts away the complexity of individual app integrations. Once configured, an agent simply connects to the CoreSpeed endpoint to gain access to all connected resources, enabling seamless switching between different AI models and platforms.
2. OAuth-Backed Application Connectors: The platform connects to external services (like CRMs, social media, and productivity apps) exclusively via OAuth 2.0. This means CoreSpeed never sees or stores user passwords; it only receives scoped access tokens from the service providers. This method ensures enterprise-grade security and simplifies compliance, as users can revoke access at any time from the provider's settings.
3. Portable, Durable Memory & Governance Suite: CoreSpeed provides a cloud-synced memory layer that persists across different AI agents and sessions. This is coupled with a governance toolkit featuring Smart Approval (beta), where users define approval policies in plain English, configurable spend caps to prevent budget overruns, and a comprehensive activity log that audits every action, its cost, and outcome.

Problems Solved

1. Pain Point: Fragmented and insecure agent management. Traditionally, connecting AI agents to apps requires managing multiple API keys, which are often stored insecurely in environment variables. Memory is siloed on individual machines, and there is no centralized oversight for spending or actions, creating security, compliance, and operational risks.
2. Target Audience: Development teams using AI-powered IDEs (Cursor, Claude Code), DevOps engineers automating workflows, growth and sales teams leveraging AI for research and outreach, and founders or creators using multiple AI agents for content and operations. It is critical for teams running agents in the cloud or at scale.
3. Use Cases: An engineering team can triage Jira tickets and review GitHub PRs from Claude Code, then switch to Cursor for development without reconfiguring access. A sales agent can research prospects on X, draft personalized outreach, and log activities to Salesforce autonomously, with all actions logged and spending capped.

Unique Advantages

1. Differentiation: Unlike native integrations within specific AI agents (e.g., Claude's built-in connectors) which are tied to that single agent and local machine, CoreSpeed is agent-agnostic and cloud-based. It also differs from standalone workflow automation tools by being specifically designed as an access and control layer for AI agents, with built-in governance.
2. Key Innovation: The combination of the Model Context Protocol (MCP) with a cloud-based control plane. This technical approach allows CoreSpeed to act as a universal adapter, decoupling the AI agent from the tools and data it uses. The innovation lies in making app access, memory, and governance portable, secure, and centrally manageable across any MCP-compatible agent ecosystem.

Frequently Asked Questions (FAQ)

1. How does CoreSpeed handle security and API keys for connected apps? CoreSpeed uses OAuth 2.0 for all application connections, meaning it never handles your usernames, passwords, or raw API keys. You authorize each app on the provider's own secure login page, and CoreSpeed receives only a limited-access token. Your credentials remain solely with the service provider.
2. Can I use CoreSpeed with multiple AI agents or AI coding assistants simultaneously? Yes, CoreSpeed is designed for multi-agent use. Your connected apps, memory, and settings are stored on your CoreSpeed account, not within any single agent. You can use Claude Code, Cursor, and a custom cloud agent concurrently, all accessing the same unified tools and context through the single CoreSpeed MCP endpoint.
3. What happens if my AI agent tries to perform an unauthorized action or exceeds a budget? CoreSpeed's governance features intervene in real-time. The Smart Approval system can pause actions based on your plain-English policy for manual review. A hard spend cap will block any further paid API calls once the limit is reached. All attempted and completed actions are recorded in the immutable activity log for audit.
4. Is CoreSpeed a replacement for my existing AI agent or workflow automation tool? No, CoreSpeed is a complementary platform. It is not an AI model itself but an operating layer that enhances your existing agents (like Claude or Cursor) by giving them secure, governed, and portable access to tools and memory. It works alongside your current agents and automation stacks.
5. What is the cost structure for using CoreSpeed's connectors and tools? CoreSpeed uses a hybrid pricing model. The platform itself has a Pro subscription tier. Connector usage is metered in credits, with many popular connectors having a free tier. You pay for what you use beyond the included allowances, with clear pricing detailed on their public rate card.