"oracle" matching MCP servers:

MCP server for semantic search over Oracle philosophy using hybrid search (FTS5 + LanceDB). Integrates with Claude Code for querying wisdom and managing a knowledge vault.

Enables semantic search and knowledge management for storing and querying principles, patterns, and learnings using hybrid keyword and vector search.

Enables GitHub Copilot and other LLMs to execute read-only SQL queries against Oracle databases with secure connection pooling and schema introspection capabilities.

Sovereign AI intelligence platform with 73K+ darknet threat intel points, 65+ divination systems, and Norwegian legal database. Tools: threat_search, threat_feed, threat_stats, oracle_reading, norlex_legal.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

This read-only MCP Server allows you to connect to Oracle Sales data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

This read-only MCP Server allows you to connect to Oracle Eloqua data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle SCM (beta): https://www.cdata.com/download/download.aspx?sku=KSZK-V&type=beta

This read-only MCP Server allows you to connect to Oracle HCM Cloud data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Compute price oracle for AI agents. Compare inference pricing across OpenAI, Anthropic, and DePIN providers like Hyperbolic. Get routing recommendations that save up to 80% on compute costs.

An enterprise MCP server that transforms IFS Cloud documentation, local code, and Oracle error knowledge into AI-powered development intelligence, offering 60+ tools for code generation, review, error diagnosis, and deployment.

Enables LLMs to interact with Oracle Databases by providing specific table and column metadata as context. Users can generate SQL statements and retrieve query results directly through natural language prompts.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

An MCP server that provides a unified interface for connecting LLM agents to many database types, including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift. It exposes schema retrieval and query execution endpoints, normalizing schemas and optimizing LLM-generated queries for compatibility.

Enables LLM agents and AI applications to connect to and retrieve data from multiple database types such as PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift through a unified API with schema normalization and query transformation.

Enables LLM agents to connect to and retrieve data from multiple database types through a unified MCP API, with schema normalization and query transformation. Supports PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

A shared URL-freshness oracle for AI agents. Returns REUSE, REFETCH, or UNKNOWN before an agent pays to retrieve a URL again.

Indexes codebases cut at function and class boundaries into Oracle AI Database 26ai, letting AI coding tools search code by name or meaning, trace callers, callees and change impact, read per-module wiki pages, and recall facts from earlier sessions. All of it is served over the Model Context Protocol with embeddings computed in-database, so no source code leaves the machine and no API key is required.

Access control for text-to-SQL agents. Before the model sees the schema, schemagate keeps only the tables and columns the caller may read, picks the few a question needs, and refuses hidden ones at query time. Postgres, Oracle, MySQL, SQL Server, SQLite. Quantum-safe signed audit log. Try it in your browser: https://ashishsinha1602.github.io/schemagate/

Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.