"oracle" matching MCP servers:

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.

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.

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.

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.

Provides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.

MCP server for automated architectural mapping, security vulnerability detection, ML asset tracking, and code metrics in local repositories.

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

On-chain TCG price oracle for the LitecoinVM ecosystem. 6 tools: search 433K+ trading cards, 60-day price history, Merkle proof verification on LiteForge (Chain 4441), Monte Carlo simulation, and AI card grading via Qwen 2.5 VL.

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.

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

Enables AI assistants and MCP clients to analyze offline Oracle AWR/ASH reports in HTML or text across Oracle 10g–23ai, including single-instance and RAC global reports, returning report type, version, active sessions, load profile, top waits and SQL with version-aware tuning advice plus a prioritized top-3 summary, all locally without an Oracle client or database connection.

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 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.

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.

Enables AI chatbots to securely answer natural-language questions against Oracle databases by discovering metadata, generating and validating read-only SQL, executing with limits, masking sensitive data, and logging all activity.

Provides contextual Oracle database schema information to AI assistants, enabling them to understand and work with large databases containing thousands of tables. Supports multi-database connections, smart schema caching, table lookups, and relationship mapping.