AI Topic: MCP Servers
Model Context Protocol servers that extend AI capabilities.
AI Tools in MCP Servers (10)
Mem0
2moMemory layer for AI apps and agents. Open-source SDK + managed API that adds long-term, semantic and graph memory with fast retrieval, policy controls, and analytics.
Parallel
2moHigh-accuracy web research and search APIs built for AI agents, providing structured answers, citations, and MCP-ready integrations.
Local MCP server in Figma Dev Mode that pipes design context (variables, components, layout) to AI coding tools like VS Code, Cursor, Windsurf, and Claude Code.
Zapier MCP
3moZapier’s Model Context Protocol server exposes Zaps and app actions as MCP tools for AI agents like Claude, Cursor, and Windsurf.
xmcp
3moTypeScript framework for building and shipping MCP applications with file system routing, hot reloading, and flexible deployment options.
Framelink
3moMCP server that gives AI coding agents access to Figma design data for one-shot design implementation.
Serena
3moFree, open-source coding agent toolkit that connects LLMs to your codebase using symbolic tools, editing, and execution.
Context7
3moKeep your AI agents grounded in real, up-to-date library docs and examples using version-aware context injection.
Kimi K2
4moOpen-source, multimodal agentic framework from Moonshot AI designed for structured tool use, function calling, and advanced orchestration.
GitMCP
4moOpen-source MCP server that transforms any GitHub repository into a documentation hub for AI assistants, reducing hallucinations and improving coding accuracy
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