"postgresql" matching MCP servers:

Enables persistent storage and retrieval of Tree of Thought search states in PostgreSQL, allowing the travel agent to maintain reasoning context across multi-turn itinerary optimization.

Enables users to inspect database schemas, validate SQL syntax, and execute queries against PostgreSQL and Apache Hive through standardized Model Context Protocol tools for safe query generation and validation.

Enables secure, privacy-first SQL database interaction via natural language, using local LLM and PostgreSQL with dynamic tool-calling.

Real-time context budget tracking for AI coding agents with token counting, loop detection, and alerts, backed by PostgreSQL.

Local-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.

Cross-agent memory server: hybrid (vector + full-text + knowledge-graph) recall, per-user private/shared visibility, write-side secret/PII redaction, and as-of-date bi-temporal fact queries. Auto-injection hooks for Claude Code / Cursor / Codex; self-hostable on PostgreSQL or SQLite.

MCP server providing layered, PostgreSQL-backed long-term memory for AI agents with versioned, audited writes and sensitive candidate filtering. Agents persist only explicitly requested facts, preferences, and project context via MCP tools.

Enables AI agents to persist, retrieve, and share source-linked memory across sessions via MCP tools, backed by PostgreSQL with project/session management, decision tracking, keyword search, and cross-host context handoff.

Provides AI agents with shared communication and persistent state over HTTP and MCP, letting an agent save its progress, search and reuse other agents' prior work, coordinate tasks in shared spaces, exchange direct messages, and hand its role to a successor when a session ends. State is kept on PostgreSQL with signed, append-only records that anyone can verify.

Manages agent certification by tracking trust scores, capabilities, and test results via a PostgreSQL database. It allows users to verify agent skills, report test outcomes, and automatically certify agents based on performance thresholds.