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Enables AI assistants to safely delete files using relative or absolute paths.
Manage a coding project's todo list with this MCP server.
Defines the specification and protocol schema for the Model Context Protocol.
Provides real-time financial data and calculations through a set of APIs.
Provides a simple Python implementation of a Model Communication Protocol (MCP) server over a network using Server-Sent Events (SSE).
Integrates Sequential Thinking as a context server for Zed's Assistant.
Enables the creation of tool-aware agents powered by Google's Gemini AI models for seamless integration of custom tools into conversational flows.
Provides programmatic access to a comprehensive collection of developer roadmaps and their detailed content.
Enables querying of live Bullhorn CRM data from Large Language Models (LLMs) like Claude Desktop through CData JDBC Drivers.
Provides secure, multi-database MySQL access with configurable security levels, lazy loading, and hot reload capabilities.
Extracts and processes content, metadata, and specific pages from PDF documents following the Model Context Protocol (MCP) specification.
Integrates Snowflake Cortex AI features, including search, analyst, and agent capabilities, into the Model Context Protocol ecosystem for AI clients.
Provides AI coding assistants with searchable access to official PDFDancer SDK documentation.
Synchronizes conversational context between Claude Desktop and Claude Code using a shared GitHub repository.
Manages SQL Create, Read, Update, and Delete operations using AI prompts.
Integrates data catalog tasks, collections, and master data management into the Gemini CLI using natural language.
Provides a structured HTTP request tool for AI agents, eliminating `curl` complexities across different platforms.
Analyzes Ascend PyTorch Profiler performance data for large language models, identifying bottlenecks and optimizing execution.
Provides programmatic access to Google NotebookLM via a command-line interface and a Model Context Protocol (MCP) server, enabling AI agent integration with security fixes and FastMCP 1.0 compatibility.
Exposes petroleum engineering data and tools to Large Language Models (LLMs) for natural language interaction.
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