#seq
21 results found
Sequential Thinking
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
MCP server for LogSeq
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
MCP server for LogSeq
Mirror of
HONO AI HCM MCP Server
Enterprise-Grade HR Assistant leveraging Model Context Protocol for seamless employee data and HR policy queries
cellrank-MCP
MCP server for trajectory inference using cellrank
Sequential Thinking Multi-Agent System (MAS)
An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
mcp-datalust-seq-mcp-dotnet
Datalust Seq Server API wrapped as an MCP
Diagrammo (dgmo)
MCP server for rendering DGMO diagrams. Generate sequence diagrams, flowcharts, ER diagrams, C4 architecture, gantt charts, kanban, sitemaps, mind maps, and 30+ other chart types from concise text markup. Outputs SVG or PNG, can open diagrams in the local Diagrammo desktop app, generate shareable online.diagrammo.app URLs, and produce polished multi-section HTML reports. All rendering is local — no diagram data leaves your machine.
Liana-MCP
MCP server for cell–cell communication using liana
Scanpy-MCP
MCP server for scanpy
Infercnv-MCP
MCP server for CNV analysis using infercnv
Rambling-Thought-Trail
Taking the sequential thinking mcp server and prodding it onwards.
REPLY.IO
Reply.io is a sales engagement platform used by thousands of B2B sales teams to automate multichannel outreach — email, LinkedIn, calls, SMS, and WhatsApp. The Reply.io MCP server exposes the platform's core functionality as tools that any MCP-compatible AI model can call directly. Once connected, your AI assistant can list and manage sequences, pull real-time performance analytics (delivery, open, reply, and click rates at the sequence and step level), enroll contacts, and control campaign state — all through natural language, no browser required. Typical use cases: - Ask Claude or Cursor to pull open and reply rates for your active sequences and identify underperformers - Enroll a new contact in a sequence mid-conversation, without switching to the Reply.io dashboard - Pause or start sequences, then check step-level stats to diagnose drop-off points - Build AI agents that automate outreach workflows end-to-end — prospect, enroll, follow up, analyze The MCP server is hosted by Reply.io and authenticated via API key. No self-hosting or open-source setup is required.