Packages
26403 resultsiflow-mcp_lroolle-agents-mcp-server
MCP server for OpenAI agents and agents tools.
iflow-mcp_m2m-mcp-server-ssh-client
A stdio-based MCP server installed locally to connect to a (remote) MCP server group through a secure SSH channel
iflow-mcp_m4dd0c-playlist-mcp-server
MCP Playlist Generator - Generate .m3u playlists based on mood or theme
iflow-mcp_maartensmeets-mcp-server-fetch
A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs
iflow-mcp_madtank-nova-act-mcp-server
An MCP server providing tools to control web browsers using the Amazon Nova Act SDK
iflow-mcp_magentic-flowlens-mcp-server
FlowLens MCP server for FlowLens created by Magentic AI
iflow-mcp_magic-api-mcp-server
Magic-API MCP Server - A Model Context Protocol server for Magic-API development
iflow-mcp_maitreyam_gmail-mcp-server
A resilient MCP server built with fastMCP for sending emails through Gmail's SMTP server using AI agents
iflow-mcp_malloryai_mallory-mcp-server
MalloryAI Intelligence MCP Server
iflow-mcp_mamertofabian-elevenlabs-mcp-server
A Model Context Protocol server providing ElevenLabs text-to-speech integration
iflow-mcp_manim-mcp-server
MCP server that executes Manim animation code and returns the generated video
iflow-mcp_manusa-podman-mcp-server
Model Context Protocol (MCP) server for container runtimes (Podman and Docker)
@iflow-mcp/maoxiaoke-create-mcp-server
A MCP Server to create MCP Servers
@iflow-mcp/marcopesani-think-mcp-server
A minimal MCP Server based on the Anthropic's "think" tool research
iflow-mcp_mariadb-mariadb-server
MariaDB MCP Server
@iflow-mcp/marianfoo-abap-mcp-server
ABAP/RAP-focused MCP server for ADT (Eclipse) - search documentation, lint code
@iflow-mcp/marissamarym-imessage-mcp-server
An MCP server to interact with iMessage and Contacts
iflow-mcp_markitdown-mcp-server
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@iflow-mcp/martinoyovo-travel-mcp-server
A travel/flight booking MCP server demo
iflow-mcp_mashriram-mcp_server_azure
A Model Context Protocol server providing tools to read and manipulate Azure resources using an LLM