"Information about Oracle Cloud services" matching MCP servers:

Enables AI assistants to read, write, and manage Google Docs, Sheets, and Drive files through structured MCP tools using service-account authentication, without requiring an OAuth consent screen.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

On-chain crypto indicators (EMA, RSI, VWAP, Bollinger) via Chainlink oracles.

Enables read-only querying, evaluation, challenge, and judging of an Oracle project's rules and evidence without modifying the filesystem, plus task tracking for agents.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables AI agents to connect to Oracle databases for schema exploration, PL/SQL source inspection, and read-only SQL queries, with optional write operations when explicitly enabled.

MCP server exposing AIMarket's verifiable oracle capabilities (Platon VRF, Chronos VDF, LUMEN reputation) as agent-callable tools with pay-per-call.

A read-only, audited, and SQL-guarded Model Context Protocol server for Oracle Database that lets MCP clients query Oracle databases safely with multi-layer security guards.

An oracle for machines that need to think sideways. Feed it a creative problem; it returns something you can't quite explain but can't stop using. Three free consultations.

Enables interaction with Adobe Commerce Catalog Services to retrieve product variants, price overrides, category permissions, and environment details via MCP.

Enables querying and managing DPYC community membership, governance, and onboarding via a live GitHub registry, with tools for member lookup, citizenship registration, advocate registration, and rulebook access.

A stateful MCP server that remembers what your AI agent has already seen.

Execute SQL queries, browse schemas, and analyze Oracle Database performance through an AI-compatible Model Context Protocol server.

MCP server for accessing Oracle databases, enabling schema exploration, query execution, and performance analysis.

A Model Context Protocol server that enables Claude to access and interact with Oracle databases through natural language queries.

Enables comprehensive search and browsing of Berlin city services. Also supports PDF form discovery, analysis, and filling with resilient caching.

Enables MCP clients to connect to Oracle 11g databases in thick mode, supporting multiple named connections for listing tables, describing schemas, and running row-limited read-only queries. Write operations such as INSERT, UPDATE, DELETE, and DDL stay disabled unless explicitly enabled and confirmed.

Enables AI coding agents to verify code patches locally with sub-50ms neuro-symbolic analysis, detecting structural issues like dependency cycles and interface drift without consuming output tokens.

Enables LLM agents to run read-only SQL queries and inspect database schema over stdio by default, with optional opt-in DML/DDL and PL/SQL execution that auto-commits.

A Model Context Protocol server that provides contextual Oracle database schema information, enabling AI assistants to understand and work with large databases containing thousands of tables.