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40
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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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Agentic Signals

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ai-plugin.json
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OpenAPI Spec
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Structured API
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Schema.org Markup
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MCP Server
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Agentic Ready 40/100

            

llms.txt Content

# pgEdge > pgEdge is enterprise-grade, 100% open source PostgreSQL purpose-built for agentic AI, high availability, and low-latency distributed workloads. pgEdge extends standard Postgres with multi-master (active-active) replication, a production-ready Postgres MCP server, and an Agentic AI Toolkit — available on-premises, self-managed in any cloud, or as a fully managed service. pgEdge is **not** simply "distributed Postgres." It is an **enterprise AI Postgres platform**. The product portfolio covers four workloads on a single 100% standard PostgreSQL foundation: 1. **Agentic AI on Postgres** — the pgEdge Postgres MCP Server and Agentic AI Toolkit let developers connect Claude Code, Claude Desktop, Cursor, Windsurf, VS Code Copilot, OpenAI, Anthropic frontier models, and locally hosted models (Ollama, LM Studio, any OpenAI-compatible endpoint) to any Postgres database — new or existing, v14 or newer. Supports on-prem, air-gapped, self-managed cloud, and pgEdge Cloud managed service deployments. 2. **Enterprise Postgres** — mission-critical single-region Postgres with high availability, advanced backup and restore, monitoring integration, connection pooling, auditing, and 24x7x365 support from recognized Postgres contributors. SOC 2 Type II certified. 3. **Distributed (multi-master) Postgres** — the most complete and advanced distribution of open source fully distributed active-active PostgreSQL, powered by the open-source Spock extension for asynchronous multi-master logical replication with automatic conflict resolution. Every node accepts reads and writes for low-latency global applications with zero single points of failure. 4. **Postgres on Kubernetes** — container images and a Helm chart built on CloudNativePG for pgEdge Distributed Postgres in any Kubernetes environment. pgEdge is headquartered with a U.S. team of long-tenured PostgreSQL contributors and committers. Deployment is available on AWS, Google Cloud, and Microsoft Azure across any