"How to Manage AI Memory Effectively" matching MCP tools:

• change_plan

  EchoRelay

  Switch the project owner between Pro and Scale, or cancel the subscription (effectively dropping to Free at period end). Returns `{kind, newPlan, effectiveAt, applied}` — `applied=true` means Paddle was charged immediately, otherwise the change is queued for the current period end. Use preview_plan_change first to see the dollar impact. Owner-only; requires a token minted with the billing scope.

  Connector

• get_resource_usage

  Dockhold

  Show your account's compute, database-RAM, and storage pools: how much you've bought, how much is used, and how much is free, plus every app's current size. Call this before any resize tool (the allowed sizes come from its steps fields), and to explain to the user why an app ran out of memory or a deploy was refused for capacity.

  Connector

• info

  UseMyContext

  Explain what UseMyContext is, what this connection can and cannot do, and where the user goes to manage their account. Call this when the user asks what UseMyContext is, what you (the AI) can do with this connection, or where to find pricing, plans, billing, teams, or settings. IMPORTANT: this connection is READ-ONLY - you cannot create/rename/delete a profile, change privacy, manage the plan or billing, set up a team, invite teammates, or connect Google Drive/Notion/kDrive; those are done by the user at usemycontext.ai, so point them to the returned links rather than attempting them or telling them to search. Returns static public information only (no user data). Always allowed; read-only.

  Connector

• resize_database

  Dockhold

  Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.

  Connector

• revoke_api_key

  Dock

  Revoke an API key (soft-delete via `revokedAt`). Subsequent requests with the key return 401. Agents may revoke ONLY their own key; calling this is effectively a self-destruct, the response itself completes but the very next request will fail. Users may revoke any key they own. To swap creds without going dark in the gap, use `rotate_api_key` instead.

  Connector

• generate_llms_txt

  Uniprot

  Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

  Connector

• academy_welcome

  StudioMeyer Academy

  ALWAYS call this first when a user connects or asks what this is. Returns a short orientation for StudioMeyer Academy — a free 6-level 'Memory-First AI Operator' curriculum (Levels 1-3 fundamentals, 4-6 memory/MCP/multi-agent), plus playbooks and build recipes. Read it back to the user in their language and offer to start at their level.

  Connector

• scan_visibility

  mcp

  Live AI-visibility scan for a brand: crawl + reputation sampled across AI engines, returning where *that* brand is mentioned (any public brand, not just your own). Use when you want to know whether and how a named brand already surfaces in AI answers — complementary to search_companies, which finds who agents recommend for a category. Pro+ (LLM cost). Result: { reputation[], tool_schema_version }.

  Connector

• list_guest_requests

  socialloop-mcp

  List the pending WAITLIST / approval requests on a live event you manage — how many are waiting, who asked, which tier, and when (oldest first). This is the event waitlist. Pair with approve_guest_request / deny_guest_request. Requires event_id; you must be a host. Read-only.

  Connector

• append_memory

  space0

  Persist one event to this agent's memory stream. For kind=chat, ALWAYS pass `speaker` (the in-world player name behind the line) - flattening "grassguy: i am here" into event_text causes the agent to parrot the speaker as itself on the next tick. Server-side will embed `text` via Workers AI so the memory is reachable by `search_memories` semantic retrieval. Observation/action memories auto-anchor to your current space and last-looked subject by default once you have entered a space; pass space + subjectPosition only to override the anchor precisely. Reflection/chat stay unanchored.

  Connector

• signupNomadStaysAccount

  Nomad Stays

  Creates a new NomadStays account on behalf of a person who does not have one yet. No authentication required — this is how an AI agent gets a person started. The account is created but inactive until the person clicks the confirmation link sent to their email; this call returns no session or token, so the agent cannot sign in or act as the user itself. Once confirmed, the person can log in at nomadstays.com/Account/Login and request their own MCP bearer token or OAuth grant to let an agent manage their account/listings going forward.

  Connector

• payments_how_it_works

  AFOS — Agentic Financial OS

  Explains how the payment rail works for agents: paying from your own wallet with no account, wallets we manage, spend mandates, reputation, receipts and intent enforcement. Call this first if you are new to the wallet_* and data_* tools.

  Connector

• amzscout_usage

  AMZScout Skill + MCP

  The caller's AMZScout AI-agents token balance — remaining, used, and limit. Free — no tokens are charged for this call. How to use: answer "how many tokens do I have left", "what's my usage / balance / limit", or when a call fails on quota. Report the remaining figure first.

  Connector

• amzscout_usage

  AMZScout Skill + MCP

  The caller's AMZScout AI-agents token balance — remaining, used, and limit. Free — no tokens are charged for this call. How to use: answer "how many tokens do I have left", "what's my usage / balance / limit", or when a call fails on quota. Report the remaining figure first.

  Connector

• manage_memory

  WorkingMemory

  Manage an existing memory item. Currently supports deleting a memory by id (soft delete — recoverable for 30 days). Use search_memory to find the id first.

  Connector

• generate_llms_txt

  Gaming Feeds

  Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

  Connector

• generate_llms_txt

  Security Feeds

  Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

  Connector

• get_help

  sinoconnection-esim-mcp

  Answer customer support and policy questions about SinoConnection eSIMs: the REFUND POLICY, how to INSTALL (with step-by-step videos), activation, HOW THE NO-VPN CHINA ACCESS WORKS (roaming / exit IP — see faq.how_no_vpn_works), and how to get support. Call this whenever the customer asks about refunds, cancellations, installation/setup, activation, how it works, what IP / does it bypass the firewall, or help — do NOT answer these from memory (especially the IP/firewall question); relay this authoritative content verbatim in meaning.

  Connector

• account

  UseMyContext

  Report the user's current plan and usage: their tier (Free or Premium), how many projects and how much storage they are using against their limits, their subscription status if any, and where they manage their plan. Use this when the user asks what plan they are on, how much storage or how many projects they have used, or whether they are near a limit. Metadata only - no files, facts, or profile content. This is READ-ONLY: you cannot change the plan or start a purchase; plan and billing changes are done by the user themselves at usemycontext.ai. Always allowed; read-only.

  Connector

• cc.squirrel_chat_v2

  Central Command

  Call cc.squirrel_chat_v2 — Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Purpose: Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Behavior: conversational AI that CAN place/cancel orders and manage positions when the linked account allows it. Treat as potentially destructive. Confirm intent before asking it to trade live. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.03 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: enterprise. Returns: Conversational AI response with embedded trade execution, market analysis, indicator computations, and chart drawing commands. Guidelines: Prefer paper/simulation paths. For live money require explicit human confirmation (confirm_live / action=execute). Report real HTTP errors; never invent proxy failures. Tags: ai, agent, autonomous, trading, analysis, execution, conversational.

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