Strata

Product Introduction

1. Strata is a Model Context Protocol (MCP) server designed to manage AI agents’ interactions with thousands of tools across multiple applications. It uses progressive discovery to guide agents through tool selection, eliminating context overload and ensuring precise execution of complex workflows. The system dynamically categorizes tools and navigates hierarchical layers to identify the exact API required for task completion.
2. The core value of Strata lies in its ability to unify multi-app automation while maintaining high accuracy and scalability. It enables AI agents to handle intricate workflows by reducing tool selection errors and streamlining API execution. This results in reliable automation for enterprises and developers working with large tool ecosystems.

Main Features

1. Progressive Discovery: Strata categorizes tools into relevant groups, allowing AI agents to narrow down options step-by-step instead of processing all tools simultaneously. This hierarchical approach prevents overload and improves decision-making efficiency. For example, agents first identify the app category (e.g., CRM), then drill down to specific features (e.g., "update contact record").
2. Smart Navigation: The system uses context-aware routing to guide agents through nested tool hierarchies, ensuring they select the optimal API for each task phase. This includes filtering by permissions, app dependencies, and real-time tool availability. Agents dynamically adjust their path based on intermediate results.
3. Precise Execution: Once a tool is selected, Strata automatically retrieves API schemas, authentication details, and parameter constraints to execute actions accurately. It validates inputs against API specifications and handles retries for transient errors, reducing workflow failures.

Problems Solved

1. Context Overload in Tool Selection: Traditional methods force AI agents to evaluate all tools at once, leading to errors in complex environments. Strata solves this by structuring tool discovery into manageable stages, cutting irrelevant options early.
2. Target Users: The product serves developers building multi-app AI agents, enterprises automating cross-platform workflows, and teams requiring reliable integration with apps like Salesforce, Gmail, and Notion. Use cases include VC firms automating investment memos using Affinity CRM data.
3. Typical Scenarios: Cross-app sales follow-ups (e.g., email + CRM updates), data aggregation from 10+ sources, and error-prone tasks like compliance checks spanning HR and finance systems.

Unique Advantages

1. Superior Accuracy: Strata achieves 31.5% Pass@1 on MCPMark benchmarks, outperforming GitHub’s official server by 15.2%. It reduces hallucination in tool selection through constrained navigation paths.
2. Deep App Integration: Unlike basic API connectors, Strata supports hundreds of features per app (e.g., 300+ Notion endpoints) with granular permission controls. It integrates natively with frameworks like LlamaIndex and Camel-AI.
3. Enterprise-Grade Scalability: The system handles 100k+ MCP calls/month with SOC 2 compliance and GDPR-ready security. Unique features include prompt injection protection and custom OAuth flow management for large teams.

Frequently Asked Questions (FAQ)

1. How does Strata handle authentication for multiple apps? Strata centralizes OAuth token management with role-based access controls, automatically refreshing credentials and auditing access. It supports SAML and SCIM for enterprise deployments.
2. Can Strata integrate with existing AI agent frameworks? Yes, it provides native SDKs for CrewAI, Camel-AI, and LlamaIndex, requiring only 3-5 lines of code to connect agents to tools like Gmail or YouTube.
3. What security measures are in place? Strata is SOC 2 certified with end-to-end encryption, granular audit logs, and isolation between tenant data. Advanced features include runtime prompt validation to block injection attacks.