Turn a goal into a schema-aware plan, preview or execute a typed workflow under step, tool-call, and time budgets, with verified assertions and explicit recovery branches.
MIT
Destructive
670,962 tools. Updated 2026-10-17 21:03
"smart" matching MCP tools:
- Deletes a specified smart mailbox from Apple Mail by name. Use list-smart-mailboxes to confirm the exact name, and quit Mail before running.MIT
- Create a smart mailbox in Apple Mail that filters messages by sender, subject, or body text. Works on German-localized macOS by safely editing Apple Mail's settings.MIT
- Delete an Apple Mail smart mailbox by its exact name. This action removes only the chosen virtual mailbox, creates a backup, and preserves all other smart mailboxes.MIT
- List all smart mailboxes from Apple Mail, showing names and criteria summaries for easy navigation of virtual email views.MIT
- Create a criteria-based smart mailbox in Apple Mail to filter emails by sender, subject, or body content.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.41MIT
- FlicenseAqualityCmaintenanceEnables token-efficient structural code exploration using tree-sitter AST parsing, with tools for symbol search, outlines, source unfolding, call graphs, and related-file discovery.1-
Matching MCP Connectors
- List Apple Mail smart mailboxes, showing each name and criteria summary, even on German-localized macOS where standard AppleScript terms fail.MIT
- Aggregate ANTLR4 grammar issues into actionable insights: group similar errors, prioritize by impact, detect anti-patterns, and suggest fixes.-
- Tap mobile app elements by automatically trying multiple locator strategies when standard methods fail, improving automation reliability.Apache 2.0
- Converts natural language questions into optimized database queries for spatial data in PostGIS, enabling users to interact with spatial databases using plain language.-
- POS Rescue Smart — The Smart tier of pos-rescue: the identical contract and fail-closed exclusivity gate, served by claude-sonnet-5 for harder integration knots. The response names the model that served the call. pos-rescue (5 MESH, claude-haiku-4.5) stays the fast default. Input: {trouble: string, pos?: string, exclusivity?: 'yes'|'no'|'unknown'}. Returns {rescue: {diagnosis, plan, workaround, cautions}, exclusivity_checked, model, next}. (15 MESH/call, a tool · commerce)ConnectorNo auth
- Agent Brain Smart — The Smart tier of agent-brain: the identical contract and memory loop — recall up to 12 memories, reason, write up to 3 back — served by claude-sonnet-5 for deeper reasoning on decisions worth a bigger brain. The response names the model that served the call. agent-brain (8 MESH, claude-haiku-4.5) stays the fast default; pick this tier when the answer's quality matters more than the price gap. Input: {think: string}. Returns {answer, reasoning, confidence, memories_considered, used_memories, learned, model, engine}. (20 MESH/call, a tool · cognition)ConnectorNo auth
- Premium PIPELINE in a single call: takes an image or PDF, extracts its text (OCR), summarizes it and translates the summary to the target language. For agents that need to 'understand a document' end-to-end (invoices, contracts, letters, papers) without orches [x402: 0.03 USDC on Base, pay-per-use]ConnectorNo auth
- Batch image resizing with AI subject detection and smart crop. (Browser-based tool)ConnectorNo auth
- Track whale activity and large wallet movements on PulseX. Retrieve recent swaps with configurable lookback period and minimum USD value. Requires API key.MIT
- Auto-discover newsletter and bulk senders in your inboxes, then propose or create a dedicated smart mailbox per sender. Start with a dry run to review before making changes.MIT
- Detect newsletter and bulk senders in your inbox, then propose or create dedicated smart mailboxes per sender. Review dry-run suggestions first, then apply to keep your inbox organized.MIT
- Analyze SAP data patterns, trends, and anomalies to generate actionable business insights using AI-powered statistical analysis and visualization recommendations.MIT
- Retrieve relevant documentation and context for RedM development queries by automatically loading intelligent resources based on your specific task description.-
- Routes SAP OData requests to the appropriate tool for querying, creating, updating, or deleting ERP data through natural language interactions.MIT
- Extract text from PDF files using intelligent type detection and OCR in 10 languages. Specify pages and language for precise content retrieval.-