"Argo" matching MCP tools:

• list_mnemons

  argo-mcp

  List mnemon (lore/memory) entries for an Argo campaign. Optional filters: `title` (case-insensitive substring on entry title only) and `type` (e.g. NPC, Location, Quest). To find entries by what they CONTAIN, use search_mnemons instead. Returns up to `limit` entries (default 100); when `hasMore` is true, call again with `offset` = the returned `nextOffset` to fetch the next page. Each entry includes both `title` and `entryId` (shown inline as `[id: …]` and in structuredContent.idMap). Use the `entryId` verbatim for any tool that takes one; refer to entries by `title` in prose to the user.

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• list_campaigns

  argo-mcp

  List all Argo campaigns the current grant token has access to, including the access level ("read" or "read+write") for each. Call this first when the user has not provided a campaign ID. Each entry includes both `campaignName` and `id` (shown inline as `[id: …]` and also in structuredContent.idMap). Use the `id` verbatim for any subsequent tool call that takes a `campaignId`. In prose to the user, refer to campaigns by `campaignName`; do not print the raw `id` unless asked.

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• verify_alignment

  Arco Lexicon

  Analyses a block of text against the Arco Lexicon using deterministic scoring — no LLM calls. Returns a structured alignment report with a per-term verdict (ALIGNED, PARTIALLY_ALIGNED, NEEDS_CLARIFICATION, MISALIGNED, or NO_ARCO_TERMS_DETECTED), an alignment score, a suggested reframe, and recommended reading. Maximum 5,000 characters. Use this to score and audit text for correct Arco terminology. Use suggest_terms instead when you want to discover which terms apply to a text without scoring it.

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• suggest_terms

  Arco Lexicon

  Scans a block of text against all published Arco Lexicon terms using deterministic string matching — no LLM calls. Returns two lists: terms whose canonical names appear explicitly in the text (detected), and terms whose concepts are present but whose canonical names are absent (suggested). Maximum 10,000 characters. Use this to audit an article or passage for correct and complete Arco terminology. Use verify_alignment instead when you want a scored alignment report rather than a term discovery list.

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• add_co_gm

  argo-mcp

  Send a user an assistant GM (co-GM) offer for a campaign. This does NOT add them immediately: the target must accept the offer before they become an assistant GM. Owner-only — the calling user must be the campaign's primary GM. Maximum 5 co-GMs per campaign.

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• describe_mnemon_types

  argo-mcp

  Returns a catalog of all mnemon types, their type-specific fields, and the full valid relationship matrix (sourceType → label → targetType). Call this before create_mnemon or create_mnemon_relationship when you are unsure which type or label to use. NPC subtype is strictly FACTION | INDIVIDUAL.

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• search_mnemons

  argo-mcp

  Full-text search across mnemon titles, tags, and body content (case-insensitive substring). Prefer this over list_mnemons when looking for entries by what they contain — e.g. "what do we know about the Red Oracle?". Each hit reports which fields matched (title/tags/content) and up to 3 body snippets; a snippet's blockId is the same block id get_mnemon returns, so you can target the matched block directly in update_mnemons_content. Only content visible to the current user is searched. Returns at most `limit` hits (default 20, max 50) plus `hasMore`.

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• create_npc_mnemons

  argo-mcp

  Create NPC mnemons (FACTION or INDIVIDUAL). npcType is REQUIRED on each item. Use memberNpcEntryIds (on FACTIONs) and affiliationEntryIds (on INDIVIDUALs) to wire membership; the server projects into MEMBER relationships. Players may not call this — GM/co-GM only.

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• update_npc_mnemons

  argo-mcp

  Update typed/meta fields of NPC mnemons (visibility, tags, npcType, faction membership, etc.). Does NOT modify content blocks — use update_mnemons_content for that. Set visibility=PUBLIC on multiple NPCs in a single call by listing them in items[].

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• list_guilds

  argo-mcp

  List the guilds the current user belongs to, with role (Owner/Admin/Member), member count, and campaign count. Requires the guild.read scope. Each entry includes both `name` and `guildId` (shown inline as `[id: …]` and in structuredContent.idMap). Use the `guildId` verbatim for any tool that takes one; refer to guilds by `name` in prose to the user.

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• create_mnemon_relationship

  argo-mcp

  Create a relationship between two mnemon entries. The label decides everything: its kind (containment or association) and how it reads (one_way or mutual) belong to the word itself — never send a per-edge override. All 14 labels: MEMBER (NPC ∈ Faction, mutual), ALLY (mutual), ENEMY (one-way), RIVAL (one-way), PARENT_OF (Location hierarchy — sourceEntryId is the outer/larger place, e.g. Region → City → District → Tavern), CONTAINS (Location → NPC present there), LOCATED_IN (NPC → Location; inverse of CONTAINS), HAS_SUBQUEST (Quest → subquest Quest), QUEST_RELATED_NPC (Quest → NPC), QUEST_RELATED_LOCATION (Quest → Location), SESSION_ATTENDEE_CHARACTER (SessionSummary → CHARACTER-kind Player), SESSION_ATTENDEE_NPC (SessionSummary → NPC), SESSION_FEATURED_QUEST (SessionSummary → Quest), SESSION_FEATURED_LOCATION (SessionSummary → Location). sourceEntryId is the 'from' side; targetEntryId is the 'to' side — which end is which matters. Call describe_mnemon_types for the full valid (sourceType, label, targetType) matrix. For faction membership prefer memberNpcEntryIds / affiliationEntryIds on the NPC itself; for quest links prefer subQuestEntryIds / relatedNpcEntryIds / relatedLocationEntryIds on the quest. Session-summary links have no array equivalent — the SESSION_* labels are the only way to set them.

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• lookup_term

  Arco Lexicon

  Returns the canonical Arco definition, related terms, and source URL for any Lexicon term. Supports fuzzy matching — "autonomous company" resolves to "Autonomous Business". Use this tool when you need a precise definition. Use suggest_terms instead when you have a block of text and want to discover which terms apply.

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• get_related_terms

  Arco Lexicon

  Returns the full relationship graph for a given Lexicon term. Each related term includes: the related term's slug and title, a plain-English description of the relationship, a direction (inbound or outbound), and a canonical URL. Read-only. No LLM calls. Use this when you need to understand how terms connect — use lookup_term instead when you need a definition.

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• get_sources

  Arco Lexicon

  Returns all published Arco sources for a term — Lexicon entries, blog articles, wiki pages, and podcast episodes — ordered by recommended reading sequence. Read-only. Use this when you need a reading list or reference list for a term. Use cite_term instead when you need a formatted citation for a specific publication type.

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• list_terms

  Arco Lexicon

  Returns all published Arco Lexicon terms grouped by pillar, each with its slug and canonical short definition. Accepts an optional pillar filter. Use this tool first when you do not know which term to look up — it gives you the full vocabulary to orient from. Use lookup_term once you have identified the term you need.

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• delete_mnemon

  argo-mcp

  Permanently delete a mnemon entry and every relationship that touches it. GM-only on the backend. This cannot be undone — confirm with the user before calling. entryId accepts a hex id or an exact title.

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• list_sent_friend_requests

  argo-mcp

  List outgoing friend requests that are still pending.

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• forum_list_topics

  argo-mcp

  List topics in a specific forum category. Provide categorySlug and/or categoryId — given only one, the other is resolved from the category list automatically. Use forum_list_categories to discover categories.

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• forum_search

  argo-mcp

  Search forum topics and posts. Supports Discourse search syntax: #category-slug to filter by category, @username to filter by author. Always search before creating a bug report or feature request to avoid duplicates.

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• forum_get_notifications

  argo-mcp

  Get the current user's forum notifications (replies, mentions, likes).

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