developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 18537개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI assistants to directly save notes to a user's Flomo account via the Model Context Protocol (MCP).
Standardizes how applications provide context to Large Language Models using the Model Context Protocol.
Enables AI assistants to interact with Kubecost cost management through natural language.
Provides a Model Context Protocol (MCP) server to access mxHERO's high-performance multi-account email search service for AI solutions.
Connects AI assistants with the Headlesshost platform API, enabling comprehensive interaction across user, content, and system operations.
Converts frontend project code logic into AI-understandable flowcharts and object structures using the Model Context Protocol.
Provides a professional Model Context Protocol (MCP) server for universal web scraping, robust React app testing, and deep React Native web application inspection.
Calculates mortgage details and retrieves current interest rates, offering SSE streaming support.
Connects AI assistants to Todoist, enabling automated creation, organization, and completion of tasks, projects, sections, and labels through the Model Context Protocol.
Provides a standardized interface for Large Language Models to interact with GitHub and GitLab repositories, issues, and CI/CD pipelines.
Provides persistent, shared, and secure memory for AI agents, allowing them to retain knowledge across sessions and coordinate effectively.
Connects artificial intelligence agents to five essential South Korean public datasets, enabling natural language queries for real-time information.
Enables AI agents to maintain a persistent, evolving long-term memory, encompassing knowledge graphs, conversation history, and self-identity, transcending typical LLM limitations.
Unifies multiple Model Context Protocol (MCP) backends into a single, streamable HTTP endpoint for AI agent interaction.
Automates tasks without continuous human intervention to reduce manual work, save time, and increase efficiency.
Enables reverse debugging with rr, offering enhanced control and insight into program execution.
Enables robust semantic and full-text search over a directory of markdown files.
Exposes Maxima symbolic computation functionality through a lightweight JSON-over-HTTP server for tool-calling integration.
Manages Firehose taps and rules, provides Lucene query assistance, and facilitates raw Server-Sent Events access.
Manages Jupyter notebooks, enabling loading, editing, searching, and saving through MCP tools.
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