A curated list for discovering and exploring Model Context Protocol (MCP) server implementations and related tools.
Enables Claude Desktop to connect to live Google AdWords data via a read-only Model Context Protocol (MCP) server.
Enables querying live HubSpot data from applications like Claude Desktop using CData JDBC Drivers through a read-only Model Context Protocol (MCP) interface.
Connects Microsoft OneDrive data to Claude Desktop using CData JDBC Drivers via a read-only MCP Server.
Enables connecting to live Zoho CRM data from LLMs like Claude Desktop through a Model Context Protocol (MCP) server.
Enables querying of live Azure Analysis Services data from LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.
Exposes SFTP data as a read-only Model Context Protocol (MCP) server for querying with Large Language Models (LLMs).
Exposes SharePoint Excel Services data to LLMs like Claude Desktop through a Model Context Protocol (MCP) interface.
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Enables natural language querying of live EnterpriseDB data from Large Language Models like Claude Desktop via CData JDBC Drivers.
Enables Large Language Models (LLMs) to query live Google Contacts data via a Model Context Protocol (MCP) interface.
Connects Google Data Catalog data to large language models (LLMs) and AI clients through a Model Context Protocol (MCP) interface.
Enables Large Language Models (LLMs) like Claude Desktop to query live Highrise data through a Model Context Protocol (MCP) interface.
Connects Large Language Models (LLMs) like Claude Desktop to Oracle Eloqua data via a Model Context Protocol (MCP) interface.
Provides a read-only Model Context Protocol server to connect large language models to QuickBooks Time data via CData JDBC Drivers.
Enables Claude Desktop to query Raiser's Edge NXT data using CData JDBC Drivers.
Enables Large Language Models (LLMs) to connect to and query live SAP HANA XS Advanced data through a Model Context Protocol (MCP) interface.
Empower large language models and AI agents to perform Okta management operations using natural language commands.
Provides persistent organizational context and memory to AI agents by integrating with various business tools and creating a unified knowledge graph.
Deduplicate records, match across sources, and maintain golden records using advanced entity resolution techniques.
Provides a unified Python interface to over 50 APIs, streamlining integration for traditional applications and AI agents.