LLMtoMD is the memory layer for AI coding agents.
- Convert Url: Convert a web page or a publicly reachable file URL into clean, AI-ready Markdown. Call this when the user gives you a link (article, docs page, or a PDF/Office/image file URL) and wants
- List Documents: List the documents in the user's LLMtoMD library, most recent first. Call this to discover what the user has stored, or to find a document_id before reading, searching, or asking about
- Get Document: Fetch a stored document's full Markdown by its document_id. Use the document_id returned by convert_url or list_documents. Call this when the user wants to read, summarize, or work with
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Check if a task runs locally vs cloud.
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AI-powered app translation for developers.
- Localingos Sync: Push source strings to Localingos and pull back translations.
- Localingos Get Translations: Get all translations for a project.
- Localingos Get Translatables: Get all source strings for a project.
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AI-native Kanban board — connect Claude to claim, work and move your tasks over MCP.
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LooperTask is an AI-native Kanban task manager.
- List Projects: List all loopertask projects visible to your API token. Use this first to discover project IDs before calling any other tool — most tools require a project_id.
- My Today: Your personal 'what to do today' view: YOUR open assigned tasks across every project, grouped by project, each flagged overdue / due_today / needs_attention (needs_attention = the task is si
- List Columns: List the kanban columns of a project. Returns id, name, position, is_queue (Backlog-style), is_terminal (Done-style), ai_blocked (AI cannot pull tasks from here). Use before create_task
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Comments for every page.
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Project management MCP for AI agents with safe task reads and writes.
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Work your Luca workspace from any MCP client: 183 API tools + 15 task tools for leads and calls.
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Task-scoped email inboxes for AI agents: read mail, extract verification codes, and reply.
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Generate tailored quality criteria and scoring guides from your task descriptions.
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Generate launch-ready SaaS blueprints with MantleKit.
- Recommend Setup: Recommend the best MantleKit tier, theme, and built-in feature set for a new app idea.
- Generate Project Blueprint: Turn an app idea into a launch-ready MantleKit project blueprint with pages, dashboard sections, entities, and MVP scope.
- Match Theme: Recommend the best MantleKit theme for a product type, audience, and brand direction.
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Project-scoped marketing ops for agents: Bearer dpk/dpa or OAuth, read and supervised write.
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Task management for teams building with AI agents.
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Custom domains for SaaS and AI agents: search, register, connect DNS, and issue HTTPS over MCP.
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AI-native project management + agent memory: tasks, sprints, risk, burnout, knowledge search.
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Ultimate toolbox to connect your LLM to popular productivity tools such as Monday, AirTable, Slack
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Chilean DTE/SII invoicing — issue invoices, reconcile payments and manage clients with AI agents.
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Issue signed receipts for AI agent actions; verify any receipt offline - free, no account.
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Find an MCP server for any task: searches the official registry, Smithery and npm; remote-first.
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Search 31,000+ MCP servers by task, tool or tag, get install configs, and submit new servers.
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Search 77,000+ MCP servers ranked by real adoption data to find the right one for any task.
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The connectivity layer for AI agents.
- Search Tools: Search every available tool across native connectors and external MCP servers. Returns unified results.
- Get Tool: Full metadata + schema for a tool id from search_tools.
- Get Tool Schema: JSON Schema for a tool's arguments.
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Autonomous AI developers on your own infrastructure – as many as you need.
- UpdatePieceTool: Update the mutable attributes of an existing Task, Story, Epic or Recurent by relative_id. Only the attributes passed are changed; omitted ones are left alone. Returns before/after fo
- SendOutreachEmailTool: Send a personalized outreach email (plain text preferred) from your own address through the outreach pipeline. Rate limited to 3/day, refuses suppressed and already-contacted (d
- ManageBlockerLinksTool: Add or remove blocked_by links on a piece. Batch operation: one bad id rejects the whole call.
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Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
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Updated 9-16-25 Fixed EV issues Connections should be solid!
- Get Context: Get or create context for a topic or project
- Update Context: Update or add context for a topic or project
- List Topics: List all available topics/projects
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The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application.
- Remember: Store a new memory in MemoryMesh. Use this to save facts, preferences, decisions, or any information that should persist across conversations.
- Recall: Recall relevant memories from MemoryMesh using semantic similarity and keyword matching.
- Forget: Permanently delete a specific memory by its ID. Searches both project and global stores.
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https://mempalace-mcp.vercel.app/ — Register or sign in here first to create your API key (mpk...).
- Mempalace Status: Summarize the current user's memory palace: total drawers, counts per wing, counts per room. Use when you need grounding before writes or searches, or when the user asks what is stor
- Mempalace Add Drawer: Persist a new memory drawer: writes to the user's D1 row, then embeds and upserts to Vectorize for later semantic search. Use when the user wants to remember something long-term
- Mempalace Search: Search the current user's memories by meaning (Vectorize embeddings), optionally scoped to wing and/or room. Use when answering questions that depend on prior stored context, or befo
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Shared project memory that keeps teammates and AI agents aligned across sessions.
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Persistent memory layer that saves and recalls your project context and preferences.
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Memxus is multi-platform persistent memory for AI assistants.
- Remember: Save important information to long-term memory. Always set collection when the topic is clear: project work → project:<slug>, personal tastes → personal:preferences. Use append_to to extend
- Recall: Search long-term memory. Pass collection (and/or tags, type) to search only that scope — e.g. collection=project:henry-memory for project questions, collection=personal:preferences for tastes.
- Get Context: Build a formatted context block for the current topic. Use collection to limit results to one domain (project, preferences, etc.).
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