MCP servers de Postgres

Lets an AI client create and manage Neon Postgres projects, branches, and schema, and run SQL queries using natural language.

Lets AI coding agents query, modify, and inspect PostgreSQL databases, manage connection profiles, and diagnose performance.

Allows AI agents to query and explore over 100 different databases using existing DBCode connections.

Connects AI clients to productivity tools like Notion, Monday, Airtable, and Jira through a secure integration hub.

Connects AI agents and IDEs to enterprise databases using prebuilt tools or a custom framework for secure, structured queries.

Connects AI agents and IDEs to enterprise databases using prebuilt tools or a custom framework for secure, structured queries.

Allows AI agents to query over 100 different databases using pre-configured connections.

Provides a governed graph over databases, APIs, files, and code to allow AI agents to discover, validate, and execute tasks through GraphQL and MCP.

An engine and framework for building industry-specific news sites that use AI to curate, summarize, and cluster hot topics from various sources.

Lets an AI client answer questions from a cited company knowledge base built from Slack, meetings, transcripts, and decisions.

Lets an AI agent run shared actions and chat with users in a chat-first app with durable threads.

Lets an AI client edit local MDX documents and run shared actions through a purpose-built agent UI.

Lets an AI client define actions once and use them as tools to build and edit visual designs and agent-powered apps.

Lets an AI client expose and run agent actions, delegate to specialist agents, and manage chat, memory, and automations from one framework.

Lets an AI client create, edit, and manage dynamic forms through a shared action layer.

Operate Tencent CloudBase environments including databases, functions, storage, and hosting via the Model Context Protocol.

Provides long-term persistent memory for AI coding agents using a knowledge graph with hybrid search and procedural memory.

Provides shared graph-based memory for AI agents using a local Postgres database to store and recall facts without calling an LLM for writes.

Lets an AI agent read the ledger, raise and post invoices, match payments, and prepare VAT returns on your own Postgres books.

Provides runtime observability for AI agents by acting as a transparent proxy to track sessions, costs, and loop execution.

Provides a persistent local-first memory layer for AI applications using Postgres and pgvector with hybrid semantic and keyword search.

Provides a persistent memory system for AI assistants to store and recall knowledge using local SQLite or PostgreSQL backends.

Manage PostgreSQL, Apache Kafka, and other Aiven cloud services directly through an AI assistant.

Lets an AI client run read-only SQL queries and inspect schemas, tables, and columns in a PostgreSQL database, with optional write access.

Lets an AI coding assistant query analyzed AWS, database, and IaC infrastructure context to answer questions about your real services.

Provides read-only access to PostgreSQL, MySQL, and ClickHouse for exploratory data analysis and statistical profiling.

Allows an AI agent to manage hosting services including GitHub app deployments, PostgreSQL databases, domains, mail, and billing.

Lets an AI client research markets, build and backtest Python trading strategies, and run paper or live multi-asset execution.

Enables AI agents and automation to manage high-performance job queues using SQLite or PostgreSQL without requiring Redis.

Enables AI clients to execute SQL queries, perform hybrid searches, and analyze schemas using natural language against PostgreSQL databases.

Provides a PostgreSQL-native knowledge base for AI agents to read and write documents, tables, files, and a URI graph using hybrid search.

Lets an AI client manage a Postgres backend by executing migrations, querying schemas, and performing governed database operations.

Lets an AI agent provision Postgres, auth, storage, serverless functions and site hosting through MCP tools and pay per call.

Lets an AI client query personal finances, track budgets, and analyze spending through an MCP server.

Reduces text-to-SQL token usage by selecting only identity-authorized tables for the LLM prompt.

Connects AI clients to multiple database engines by reusing DBeaver connections and providing native driver support.

Enables LLMs to manage Heroku resources including applications, dynos, add-ons, pipelines, and PostgreSQL databases via natural language.

Lets an AI assistant manage Rebase schemas, databases, documents, users, and development server tools via the Model Context Protocol.

A diverse collection of MCP servers that enable AI assistants to interact with AWS, Datadog, Google Workspace, databases, and multi-agent coordination systems.

Allows an AI client to query, edit, and reconcile a hosted Beancount plain-text accounting ledger using BQL and reports.

Provides a shared decision memory and governance layer for AI agents to prevent them from repeating previously rejected approaches.

Provides a durable memory layer for AI agents using a temporal knowledge graph and hybrid retrieval via SQLite or PostgreSQL.

Deploy and run applications directly from your coding agent without managing dashboards, Dockerfiles, or YAML configurations.

Provides lineage-aware agent memory governance on PostgreSQL and pgvector using row-level security to prevent unauthorized data derivation leaks.

Lets an AI agent store, organize, and recall persistent long-term memories as a versioned URI graph across sessions and models.

Turns any SQL database into a governed REST API and MCP server so AI clients can browse schemas and query or modify data.

Allows an AI agent to read self-hosted health data including sleep, workouts, nutrition, and daily summaries through a unified API.

Lets an AI client connect to MySQL, MariaDB, PostgreSQL, or SQLite to discover schemas, run queries, and manage tables.

Lets an AI client explore and query MySQL, MariaDB, PostgreSQL, and SQLite databases with PII redaction and read-only defaults.

Provides persistent, AES-256-GCM encrypted memory infrastructure for AI agents to enable cross-session and cross-agent context recall.