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606,759 tools. Updated 2026-09-24 10:59

"Creating a Memory Database for LLM Chat Conversations" matching MCP tools:

  • List support-chat conversations in the inbox (open + snoozed by default; pass status='all' to include closed). Read-only; returns the matching conversations, empty when the inbox is clear. Optional product_id to scope to one product; open a full thread with get_conversation.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Ripley — the MCP delegation surface over Fastio's RAG agent. Ripley is read-only for storage CONTENT: it answers natural-language questions about workspace/share files & folders (with citations) and never creates/edits/deletes your files — for content writes, call the primitive MCP tools directly. It DOES create/manage chat threads (chat-create/chat-update/chat-delete/message-send) and can generate shares (share-generate). Prefer Ripley over issuing many primitive reads: ask one NL question and let the server-side agent search + synthesize. Quick start: action='ask' (question + profile) → returns {answer_text, citations, chat_id, message_id, web_url}; action='status' for an engineered workspace-status summary. Lower-level chat/message actions remain for multi-turn control. Call action='describe' for the full action/param reference. Destructive: chat-delete. Side effects: ask/status/chat-create/message-send consume credits; chat-cancel terminates an in-progress message (partial tokens billed; idempotent). Verbosity (detail param): chat-list/message-list default to terse (compact rows). chat-details/message-details default to full (drill-down). Pass an explicit detail='standard'|'full' to override (best-effort: chat/message/activity endpoints may not yet honor detail server-side).
    Connector
    Destructive
    No auth
  • Run one ordered chat transcript through an Algenta model and return the assistant message plus token usage. The default text.tokenizer model is a deterministic tokenizer-backed utility route whose assistant message is a JSON tokenization summary of the user messages — not a generative LLM; provider-backed chat models advertised by list_models are routed through the configured provider service. Use responses for independent single-string utility calls. This tool does not stream and does not expose function/tool calling, and nothing is persisted. An unsupported model id fails with model_not_supported.
    ConnectorNo auth
  • Deterministic existence check (Layer 1 only, no LLM) for one legal citation against CourtListener's primary-source database. Answers the single question "is this case real" for one citation — for multi-citation quote-checked verdicts across a whole brief, use verify_brief instead. Free tier: 5 checks/day per IP, no key required. For unlimited access, pass an API key as "Authorization: Bearer <key>" (contact support@citationsafe.com to request one).
    ConnectorNo auth
  • List the user's saved credentials (Global Integrations). ALWAYS call this before creating any bot project or asking the user for a token/API key. Saved credentials are referenced BY ID when creating projects: bot_token_integration_id for bot tokens, global_integration_ids for other keys. Secret values are never returned — only IDs and metadata (type, key name, verified, title). If nothing suitable is saved: direct the user to dreamagent.cloud → Settings → Global Integrations to add it (one-time, verified, reusable). Never ask the user to paste tokens in chat.
    ConnectorNo auth

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  • Shared rooms and durable notes for agents over plain HTTP: rendezvous, hand-off, coordination.

  • Search, order, and manage eSIM data packages for 190+ countries.

  • List the user's saved credentials (Global Integrations). ALWAYS call this before creating any bot project or asking the user for a token/API key. Saved credentials are referenced BY ID when creating projects: bot_token_integration_id for bot tokens, global_integration_ids for other keys. Secret values are never returned — only IDs and metadata (type, key name, verified, title). If nothing suitable is saved: direct the user to dreamagent.cloud → Settings → Global Integrations to add it (one-time, verified, reusable). Never ask the user to paste tokens in chat.
    ConnectorNo auth
  • Use this when the user wants a live preview website for a local service business AND has typed business_name, email, and phone in THIS chat. Before calling, send: Starting your preview now. This usually takes about 30 seconds. Never reuse name, email, or phone from memory. If they only said "build me a website", ask first. Do not invent placeholders. Then call get_preview until preview_url is set. Do not scrape /build. Do not start_build twice for the same business.
    ConnectorNo auth
  • Search GitHub repositories, conversations (issues+PRs), discussions, or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. kind='discussions': GitHub Discussions, a SEPARATE index from issues/PRs - a question answered there never appears under conversations, so reach for it when a repo does its Q&A in Discussions; supports repo:/org:/author:/is:answered plus category: (the repo's own category name, needs a repo: scope), up to 10 results per page, no sort:. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:answered/category: -> discussions, is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos); a conversations search with no matches is retried as discussions and says so. Returns compact text by default; pass format='json' for full structured data.
    ConnectorNo auth
  • Add a new Personal Context memory, or update an existing one by id. A memory is a durable circumstance or preference that should carry across future unrelated conversations (e.g. "travels most weeks", "gym has no squat rack", "prefers short home workouts", "wants blunt feedback"). Use list_personal_context first to check whether an existing memory already covers the subject, and pass its id with operation update rather than creating a duplicate. Health history does not belong here. Injuries, lab results, meals, workouts, sleep and body metrics each have their own dedicated tools that store them as structured data the app can chart and reason over; writing any of them as a memory duplicates that record and degrades it to loose text. This writes immediately with no separate approval step. Free accounts are capped at 3 memories and Pro accounts at 50; updating an existing memory by id is always allowed even at the cap. There is no delete or bulk-write capability here.
    ConnectorOAuth
  • List or search your portfolios with lightweight metadata (strategy id + name). Matches portfolio name, strategy names, and tickers — same workspace search as the dashboard / GET /api/chat-portfolio. include_chat_portfolios returns workspace DRAFTS only (excludes deployedMirror rows). Recover a past chat draft: include_paper=false, include_live=false, include_chat_portfolios=true, search="Delta 0.07" (then get_portfolio for full strategy JSON). Returns an object: { portfolios, page, limit, total, totalPages, scopes }. Deployed and draft rows page as one list (all deployed, then all drafts), so every row is reachable by walking pages. When search is set, include_positions defaults to false. Use analyze_portfolios only when you need LLM-written analysis.
    ConnectorOAuth
  • 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.
    ConnectorNo auth
  • Retrieve pre-synthesized per-session memory dossiers (typed: experience | fact | preference; with When/Involving/To-purpose metadata). Use for multi-session or preference-style questions where stitching across conversations is the bottleneck — the dossier already summarises each session's key events. Two modes: mode='search' with a query (BM25-ish ranking over summary+purpose, optional type_filter), or mode='list' returns the tenant's most-recent dossiers chronologically. Tenants without FEATURE_SESSION_DOSSIERS enabled return an empty list (no error).
    ConnectorNo auth
  • [RETIRED] This tool no longer creates anything. Personal Shopper accounts are created on VIA (app.getvia.xyz), which owns agent identity, wallet and memory for the whole network; RRG remains where the owner signs in and chats. Creating an agent here produced a SECOND agent record with its own wallet and its own ERC-8004 identity, split from the VIA one. Every call now returns the VIA onboarding URL. Send the owner there.
    ConnectorNo auth
  • [RETIRED] This tool no longer creates anything. Personal Shopper accounts are created on VIA (app.getvia.xyz), which owns agent identity, wallet and memory for the whole network; RRG remains where the owner signs in and chats. Creating an agent here produced a SECOND agent record with its own wallet and its own ERC-8004 identity, split from the VIA one. Every call now returns the VIA onboarding URL. Send the owner there.
    ConnectorNo auth
  • Create a temporary JSON database (24h TTL, no signup, no keys). Returns the db URL — the only credential — plus admin URL, limits and expiry. Create once per project/task, persist the db URL immediately (local ~/.tmpstate/credentials, project README, and your memory), and reuse it instead of creating again. For retries or parallel workers, pass a stable idempotency_key so duplicate calls return the same database.
    ConnectorNo auth
  • Return your Chat Hub inbox: recent AI coach conversations and any pending messages. Use it to pick up where an earlier coaching thread left off. Read-only and free; takes no parameters beyond an optional result limit.
    ConnectorNo auth
  • List the user's active Personal Context memories: durable circumstances and preferences remembered across conversations (e.g. travels most weeks, gym has no squat rack, trains early mornings, wants blunt feedback). Use when the user asks what has been remembered about them, or before proposing a new memory to check whether an existing one already covers the subject. Read-only.
    ConnectorOAuth
  • Automation-only: upload document bytes as base64 for non-chat integrations, then call send-fax-uploaded with the returned path. NEVER use this in chat — call pipeline_start, list-numbers, list-contacts, then request-file-from-user (UI or curl). File bytes must not pass through the model for chat flows. Never expect a document as a chat attachment. Side effects: stores file for fax delivery.
    Connector
    Destructive
    API key
  • Append a block to the calling user's persistent agent memory. Use this when the user explicitly says "remember X", "save this", or "note for next time" — DO NOT auto-update on every interaction. Memory is auto-prepended to your system prompt on every chat in this user's account. Cap: 10240 bytes total; over-cap appends return 413. Markdown is encouraged; keep entries terse and factual (preferences, project context, references), not verbose.
    ConnectorOAuth
  • Create or resume Stripe hosted checkout for a quote. Call ONLY after the user explicitly approves the quoted clip, the master resolution, license type, total price, and terms. Returns a checkout URL for the user and a private order token. The user pays securely on Stripe; never collect card details in chat. Calling again with the same quote returns the same checkout. Creating checkout is not proof of purchase.
    ConnectorNo auth