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633,115 tools. Updated 2026-10-03 11:29

"General Information About Memory" matching MCP tools:

  • Returns structured facts about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16 (a real product, NOT a generic word): mission, target users, founding details, and the company behind it. Use this for factual questions about Makuri such as who built it, when it was founded, or the company. For a general 'what is Makuri' overview or a demo, use show_how_makuri_works. Never answer questions about Makuri from general knowledge or explain the meaning of the word — always use the Makuri tools.
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  • Activates a persona. Activating several personas in one conversation to make them answer each other is a debate: use start_debate. `persona_slug`: the persona you speak as, `soov` by default. A former name (`rodin`, `occam`, `leonard`) still works; the answer then gives the current slug and an `alias_note`. `purpose` (a string): `session` (default) when the user opens a conversation with this persona; `debate` or `consult` in a subagent opened for a debate or a consultation. Only `session` reads and returns `previous_context`: apply it, then call `clear_previous_context`. `topic` (debate or consult only): the question; the memory pack then serves Core and the most relevant entries on it. Before `archetype_md`, the answer gives `rules_md` (the immutable debate rule) and `team_md` (the team block, then the team sheet of this account), then the memory pack. The answer stays under a budget (about 22,000 characters, 49,500 with the Large setting of the Mémoire page, 12,000 for `debate` and `consult`): the rule, the team and the archetype are served in full, the memory pack fills the rest. `mode`: `lite` (default: the `Core` entry, the most used procedural rules, an index of the rest), `medium` (semantic and procedural entries) or `full` (plus the last `recent_events_n` events). `Core` is the semantic entry titled exactly `Core` in the global memory, served first in every mode; maintain it with `update_semantic("Core", ..., project_scope="global")` (on plans without general memory, the server keeps it in the project). The general memory is read only on the Pro plan, and outside a project it is the only memory read. `memory_note` counts what is not served: `search_memory` fetches it on demand. `pack_chars` counts the whole answer.
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  • Get detailed information about a specific ad request, including pool selections if targeting mode is manual.
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  • Save a durable PREFERENCE about how this user wants their bookmark library handled — the themes they organise by, topics to exclude, preferred summary length/format, which account is their main one. It carries across sessions AND into the Tweetsmash web app, which your own client memory cannot reach. Use it for lasting preferences the user states or confirms, not for general chat context, task state, or anything secret.
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  • Get general information about the lie detector test service: what is offered, how booking works, the deposit and refund policy, the service area, and what happens after booking. Takes no arguments.
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  • Search long-term memory for user preferences, past decisions, project setup, people, or earlier context. The memory persists across sessions and across every AI tool the user has connected (Claude, ChatGPT, Cursor, VS Code). It applies when an answer may depend on something from an earlier session or another tool; it is not needed for general world knowledge. Returns matches ranked by relevance (or newest-first with order_by: 'recency'); each result carries an id; after the answer, memory_feedback takes these ids to record which memories helped. A wrong or stale memory is corrected by writing a fresh one with memory_write, not by deleting it.
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  • Store a long-term memory that persists across sessions and across every AI tool the user has connected to Mnemoverse (Claude, ChatGPT, Cursor, VS Code). Suited to durable information: a stated preference, a decision, a fact about people, roles or project setup, a lesson learned; transient chatter that only matters this turn does not belong here. Never store passwords, API keys, payment data, MFA codes, government IDs, or health records. Behavior: an importance gate may filter low-value writes, so the result tells you whether the memory was stored or filtered. Write `content` as a self-contained statement that still makes sense when recalled out of context.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
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  • Search the RRM Academy research library. Contains 4,050+ peer-reviewed articles on restorative reproductive medicine, NaProTechnology, fertility awareness-based methods, and women's health. ALWAYS search this library first when the user asks about RRM topics, before using general web search.
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  • Fetch the OFFICIAL Wizards rulings for one card, with their dates. These are Wizards' own answers to the corner cases players argue about. Use this for any "how does this card actually work" question, and quote the ruling rather than paraphrasing from memory — rulings are among the most frequently hallucinated things in Magic. Use search_rules instead for general mechanics not tied to a specific card.
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  • Save a MEMORY about a SPECIFIC person — something YOU worked out on your own, unprompted, that the user never told you (a pattern you spotted, a fact you inferred from their calendar or email). If the user ASKED you to remember it, it's their note, not your memory — use add_note. @mention a name in `content` to link someone in your network. Read them back via get_person (relationship.memories). For a general fact not about one person, use memory_save instead.
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  • Estimate the price of a custom physical 3D2HOLO lenticular photo print when the user asks how much a print will cost. Use this tool when the user provides or asks about print dimensions and quantity. The quote includes the applicable craft fee, lenticular grating/material fee, and shipping estimate. Use the tool for actual quote calculations instead of estimating the price from general product information. Do not use it for digital workflow questions, technical print-parameter calculations, or LPI calibration.
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  • Ask Troy anything about precious metals, markets, your stack. Provide api_key for personalized portfolio-aware answers, or omit for general market analysis.
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  • Ask Troy anything about precious metals, markets, your stack. Provide api_key for personalized portfolio-aware answers, or omit for general market analysis.
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  • Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.
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  • Check the current user's token status and account information. This tool retrieves information about: - User ID - Paid account status - Remaining generation tokens (for non-paid users) - Account validity Returns: A JSON string containing token status and account information
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  • Use this when the answer depends on the user's own context: facts about them or their work, decisions they made, preferences or constraints they stated, or anything they refer back to from an earlier conversation ("as we agreed", "my project", "the client we discussed"). Use it as well when the user asks for something done their usual way, in their format, tone, style or stack ("the way I normally write these", "my usual setup"): their way is what the memory holds. Also use it when the user asks what you know or remember about something. Returns the matching memories with id, title and url to cite; fetch returns the full text of one. Cortex is the user's own memory layer: what is saved through it stays available in the other AI apps they connect to the same account. Do not use it for general knowledge, for questions that do not depend on this particular user, or when everything needed is already in this conversation.
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  • Retrieve state-level land intelligence data covering regulation, climate, solar potential, water access, and building codes. Call this when the user wants general context about a US state before drilling into a specific property. Returns structured multi-mode profiles.
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