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308,872 tools. Last updated 2026-07-28 06:14

"Understanding Context Memory in Chat Systems" matching MCP tools:

  • List channels (mailboxes / inboxes — email, chat, etc.) configured in the account. Paginate with first/after. Groove GraphQL: channels.
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  • Get a focused reading for ONE specific divination system from the 26. Free MCP tier covers the 5 preview systems (bazi, vedic, western, ninestar, thai); the other 21 + the in-depth Cosmic Blueprint PDF are at mythsensus.com/pricing.
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  • Return the canonical list of 26 ancient divination systems Mythsensus implements (slug, English + Thai name, region, required inputs). Use first when asked "what systems do you support?".
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  • Start here for most conversations. Load the athlete's profile, goals, rules, recent load, current fitness context, performance evidence, optional bounded historical signals, planning guidance, and persistent STAS memory opportunities.
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  • Recommend a post-quantum / hybrid migration. Provide an 'algorithm' (e.g. RSA, ECDH, ECDSA) or free-text 'context' describing the usage. Set 'tier' to 'category-5' for CNSA 2.0 / national-security systems.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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Matching MCP Servers

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    Enables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.
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    A local semantic memory and code-indexer that uses AST parsing for structural understanding and persists architectural decisions to help AI assistants bypass context window limits.
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Matching MCP Connectors

  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
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  • Creates a note/chat entry in Healthie (additive). Requires content (the note text); optionally attach it to a client (user_id) or mark it as an org chat. GraphQL: mutation createNote(input: createNoteInput).
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  • Generate a complete colour direction package for another AI agent or image generation model. Fetches a historically grounded archive palette from the concept, then produces: an agent brief (colour direction in prose), colour tokens with hex values and roles, a model-specific image generation prompt, a negative prompt, and lighting notes. Supports midjourney, flux, dalle, stable_diffusion. Example: task='luxury hotel bedroom', concept='Ottoman winter luxury', model='midjourney'. Use this to make Colour Memory the colour layer for other AI systems.
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  • Detects potential LLM jailbreak attempts by analyzing user input against NIST AI Risk Management Framework adversarial patterns. Designed for persona risk assessment, this tool evaluates text for common jailbreak techniques such as prompt injection, role-playing, or obfuscation. Inputs include the user message and optional context, returning a risk assessment with confidence scores and pattern matches. Ideal for real-time moderation in chat applications or API gateways.
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