# enterprise

Official Slack MCP server for approved workspace search, messaging, canvas, and user-context actions.

Slack MCP Server is Slack’s official remote MCP layer for giving approved AI clients workspace context and controlled actions. It lets agents search messages, files, users, and channels, draft or send messages, read threads, manage canvases, and authenticate through Slack OAuth while workspace admins approve integrations and normal Slack rate limits still apply.

Official remote MCP server for Jira and Confluence

Atlassian's official remote MCP server connects Jira and Confluence to LLM clients, IDEs, and agent platforms over OAuth, so Claude, Cursor, and other MCP-aware tools can search issues, read pages, and post updates inside the same permission boundaries users already have. As a vendor-hosted reference implementation, it standardizes the Atlassian side of remote Model Context Protocol deployments.

Rust-native multi-agent orchestration for production

GraphBit is a Rust-native, multi-agent orchestration framework built for production. It targets the gap between Python-first frameworks like LangGraph and the operational expectations of enterprise systems — predictable memory, low latency, deterministic concurrency, and the ability to embed an agent runtime in services that already run Rust without dragging in a Python interpreter.

Enterprise SSO and directory sync APIs for SaaS applications

WorkOS provides B2B identity infrastructure for SaaS teams that need AuthKit user management, Enterprise SSO, Directory Sync, Admin Portal, audit logs, RBAC/FGA, Radar, and MCP Auth without building every identity integration themselves. It is strongest when enterprise customers require SAML/OIDC, SCIM provisioning, and organization-level auth workflows.

FOCUS-native multi-cloud cost management and FinOps platform

Holori is a multi-cloud cost management platform built on the FOCUS billing data standard. It provides unified cost visibility across AWS, Azure, GCP, and other cloud providers with automated tagging, budget alerts, and optimization recommendations. Features interactive infrastructure diagrams that link architecture visualization directly to cost data for contextual spending analysis.

AI-powered autonomous cloud cost optimization for AWS

Zesty uses AI to automatically optimize AWS cloud costs by analyzing usage patterns and making real-time resource adjustments. It manages Reserved Instance and Savings Plan portfolios autonomously, right-sizes EC2 instances based on actual utilization, and optimizes EBS volumes and storage costs. Claims average 51% savings on AWS compute spend with no engineering effort required.

Production-grade Terraform modules and infrastructure library

Gruntwork provides a library of battle-tested, production-grade Terraform modules covering AWS, GCP, and Azure infrastructure patterns. Modules handle networking, compute, databases, security, monitoring, and compliance with best practices built in. Terragrunt, their open-source Terraform wrapper with 15k+ stars, adds DRY configuration, remote state management, and multi-account orchestration.

Agentic IaC platform with AI-powered Terraform code generation

ControlMonkey is an agentic Infrastructure as Code platform that uses AI to automatically generate Terraform code from existing cloud resources. It detects infrastructure drift, converts ClickOps changes into version-controlled Terraform, and enforces IaC-first governance. Raised $7M seed funding to build AI-powered infrastructure management for cloud-native teams.

Infrastructure as Code orchestration and governance platform

env0 is an IaC orchestration platform that manages Terraform, OpenTofu, Pulumi, and CloudFormation workflows with built-in governance, cost estimation, and drift detection. It provides self-service infrastructure provisioning with policy guardrails, automated plan approvals, and budget controls. Supports custom deployment flows with OPA-based policy enforcement and RBAC.

Fully managed RAG-as-a-Service platform for enterprise AI applications

Ragie is a managed retrieval-augmented generation platform that handles document ingestion, indexing, and retrieval so developers can build grounded AI applications without managing vector databases or chunking pipelines. It connects to Google Drive, Notion, Slack, Confluence, and other enterprise data sources with simple APIs for hybrid search and entity extraction.

Alibaba's Spring framework for building AI applications in Java

Spring AI Alibaba is Alibaba's open-source framework that brings AI capabilities to Java Spring Boot applications. It provides auto-configuration for AI model providers, RAG pipeline components, agent frameworks, and tool integration following Spring conventions. With 9,100 GitHub stars and 220+ contributors, it is the most mature AI framework for Java enterprise developers building production AI features.

Industry-standard incident management and on-call alerting platform

PagerDuty is an enterprise incident management platform for on-call scheduling, alert routing, escalation policies, and incident response orchestration. It integrates with 750+ monitoring, ticketing, cloud, and collaboration tools, including Datadog, Slack, Jira, AWS, and Microsoft Teams. Current pricing lists a Free tier for up to 5 users, Professional from $21/user/mo annually ($25 monthly), Business from $41/user/mo annually ($49 monthly), and Enterprise custom.

Slack-native incident management with AI SRE agent

Incident.io is a Slack- and Microsoft Teams-native incident management platform with AI SRE investigation, on-call scheduling, status pages, and post-incident learning in one product. Vendor case studies cite Buffer reducing critical incidents by 70% and Favor reducing MTTR by 37%. It integrates with PagerDuty, Datadog, GitHub, Jira, and 100+ tools for incident response and operational workflows.

100% private document Q&A powered by local LLMs

PrivateGPT enables fully private document interaction using GPT-powered RAG without any data leaving your machine. Ingest documents (PDF, DOCX, TXT, and more) and chat with them using local LLMs via Ollama or remote providers. Built on LlamaIndex with Qdrant vector storage. 57,200+ GitHub stars, Apache 2.0 licensed. The go-to solution for air-gapped environments, regulated industries, and anyone who needs document Q&A without cloud data exposure.

Modular AI agent framework with off-prompt data

Griptape is an open-source Python framework for building AI agents and workflows with a focus on modularity and enterprise-grade off-prompt data handling. It separates predictable pipeline logic from unpredictable LLM interactions, providing structures for sequential and parallel task execution with built-in memory management and tool integration.

LSP-powered semantic coding agent via MCP

Serena is a free, open-source coding agent toolkit that provides IDE-like semantic code retrieval and editing capabilities to any LLM via the Model Context Protocol (MCP). Built on Language Server Protocol (LSP) integration, it enables symbol-level navigation, cross-file refactoring, and relational code understanding across Python, TypeScript, Go, Rust, Java, PHP, and more — without requiring file-level reads or text-based search.

AI-powered API testing with traffic recording

Keploy is an open-source AI-powered testing platform that generates API, integration, and unit tests by recording real network traffic via eBPF. It captures API calls, database queries, and streaming events, then replays them as deterministic tests with auto-generated mocks — no code changes needed. Works across any language or framework with CI/CD pipeline integration and popular testing framework support including JUnit, PyTest, Jest, and Go-Test.

AI documentation tool with video-to-docs conversion

Trupeer is an AI documentation platform that converts screen recordings and videos into structured technical documentation with AI-generated voiceovers. It automates the creation of step-by-step guides, API documentation, and SaaS help articles by analyzing video content and generating written docs with annotated screenshots. Useful for teams creating onboarding materials and product documentation.

Entity-based synthetic data generation for enterprise

K2view is an enterprise data platform that generates synthetic data using an entity-based micro-database architecture. It ensures referential integrity across complex multi-relational datasets by treating each business entity as a self-contained unit. Used for privacy-compliant test data generation, data masking, and AI training data creation in financial services, telecom, and healthcare industries.

AI security and enablement for enterprise and government

CalypsoAI is an AI security and enablement platform providing model validation, prompt filtering, access controls, and model provenance for enterprise and government deployments. It focuses on high-assurance AI use cases with features for content filtering, usage monitoring, and policy enforcement across LLM applications. Serves Department of Defense and regulated enterprise customers requiring strict AI governance.

AI model validation and risk management platform

Robust Intelligence is an AI risk management platform that validates ML models for security, fairness, and reliability before and after deployment. It provides automated stress testing, bias detection, data drift monitoring, and model risk scoring for enterprise compliance. Serves Fortune 500 customers in financial services, healthcare, and insurance with continuous AI validation aligned to regulatory frameworks.

Autonomous AI red teaming with black-box attack simulation

Novee is an AI security platform that performs autonomous black-box red teaming of AI systems. It uses an advanced reasoning engine to simulate determined adversaries, probing for complex chained attack scenarios like prompt injection leading to database access through AI agents. Tests for jailbreaks, data extraction, unauthorized actions, and multi-step exploit chains in LLM applications.

Auto-generate API docs from live production traffic

Levo.ai generates OpenAPI specifications and API documentation automatically from live production traffic using eBPF-based instrumentation. It captures real request/response patterns to create always-accurate API docs that eliminate documentation drift. Features include automated API discovery, security testing of documented endpoints, and Postman collection generation without requiring code changes.

AI-native observability for multi-agent systems

Sazabi is an AI-native observability platform designed for fast-moving engineering teams building with LLMs and multi-agent systems. Backed by leaders from Vercel and LangChain, it provides multi-agent tracing, tool-call visualization, and latency analysis for complex agentic workflows. Focuses on helping developers debug the complete path of requests through interconnected agents and tool calls.