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#seq

21 results found

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Sequential Thinking

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

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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.

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MCP server for LogSeq

Mirror of

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HONO AI HCM MCP Server

Enterprise-Grade HR Assistant leveraging Model Context Protocol for seamless employee data and HR policy queries

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cellrank-MCP

MCP server for trajectory inference using cellrank

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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.

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mcp-datalust-seq-mcp-dotnet

Datalust Seq Server API wrapped as an MCP

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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.

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Liana-MCP

MCP server for cell–cell communication using liana

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Scanpy-MCP

MCP server for scanpy

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Infercnv-MCP

MCP server for CNV analysis using infercnv

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Rambling-Thought-Trail

Taking the sequential thinking mcp server and prodding it onwards.

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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.

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