Integration App

Provides a unified MCP (Model Context Protocol) interface that abstracts away vendor-specific API authentication, request/response formatting, and error handling across multiple SaaS platforms. Implements adapter pattern where each SaaS integration is wrapped as a standardized MCP tool, allowing LLM agents to interact with Salesforce, HubSpot, Slack, etc. through a single protocol without learning individual API signatures.

Manages customer SaaS credentials securely by handling OAuth 2.0 authorization flows, token refresh cycles, and credential storage without exposing secrets to the agent layer. Implements credential isolation per customer tenant, ensuring one customer's Salesforce token cannot access another's data. Handles token expiration and automatic refresh using provider-specific refresh token mechanics.

Translates natural language agent instructions into vendor-specific API payloads by maintaining schema mappings for each SaaS platform's endpoints. Normalizes field names, data types, and required parameters across platforms (e.g., 'customer_id' in Salesforce vs 'contact_id' in HubSpot) so agents work with a unified vocabulary. Validates payloads against SaaS API schemas before sending, catching type mismatches and missing required fields.

Handles pagination across SaaS APIs that use different pagination mechanisms (offset/limit, cursor-based, keyset pagination) by abstracting the iteration logic. Automatically fetches subsequent pages when agents request large result sets, managing cursor state and page boundaries transparently. Supports streaming results to agents without loading entire datasets into memory, critical for large customer lists or transaction histories.

Catches SaaS API errors (rate limits, timeouts, transient failures) and automatically retries with exponential backoff, configurable per SaaS platform. Distinguishes between retryable errors (429 Too Many Requests, 503 Service Unavailable) and permanent failures (401 Unauthorized, 404 Not Found) to avoid wasting retries. Surfaces meaningful error messages to agents, including SaaS-specific error codes and remediation hints.

Enables agents to execute multiple SaaS operations (create 100 contacts, update 50 deals) in a single request, with granular tracking of which operations succeeded and which failed. Implements batch execution strategies: all-or-nothing (rollback on first failure), best-effort (continue on failures), or transactional (if supported by SaaS API). Returns detailed results per operation, allowing agents to retry only failed items without re-processing successes.

Allows agents to subscribe to SaaS events (Salesforce opportunity updates, Slack messages, HubSpot contact changes) and receive real-time notifications via MCP. Manages webhook registration with SaaS providers, handles event filtering and transformation, and routes notifications to appropriate agent handlers. Implements webhook signature verification to ensure events are authentic and haven't been tampered with.

Persists agent workflow state across MCP sessions, enabling long-running multi-step SaaS operations to resume after interruptions. Stores operation checkpoints (which records were processed, current pagination cursor, last successful step) in a state backend, allowing agents to resume from the last checkpoint rather than restarting. Implements idempotency keys to prevent duplicate operations if a step is retried.

Provides a plugin architecture allowing developers to extend the MCP server with custom SaaS connectors and actions without modifying core code. Implements a standardized action interface where custom code can hook into request/response pipelines, add platform-specific validation, or implement complex multi-step workflows. Supports TypeScript/JavaScript plugins loaded at runtime, with dependency injection for accessing credential managers and logging.