"A server for finding information about memory" matching MCP tools:

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• content_discoveryA

  mcp-knowledgeC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

  ConnectorNo auth

• get_project_memoryA

  QuillHubA

  Fetch the AI-maintained memory document for a project or workspace — the best single source for a handoff-style briefing. Sections include purpose, glossary, key people, activity digest, and routing signals, distilled across all meetings. Pass EXACTLY ONE of `project_id` (project memory) or `workspace_id` (workspace-level memory); get ids from `list_workspaces`. Returns the memory as rendered markdown plus `updated_at`. Start here for "give me a summary / bring me up to speed on project X" questions, then drill into `find_subjects`/`search_meeting_transcripts` for specifics.

  ConnectorOAuth

• forgetA

  memxusA

  Permanently delete one memory by UUID. When to use: user asks to remove outdated or incorrect context, or to free plan storage. When NOT: fix content → update (mode=replace); find the ID first → list_memories or recall. Requires delete OAuth scope. Non-idempotent: deleting the same memory_id twice fails. Errors: Memory not found, Not authorized to delete this memory. Side effects: removes the memory row and vector embedding with no recovery; invalidates plan cache. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.

  Connector

  Destructive

  No auth

• updateA

  memxusA

  Update an existing memory by ID. Use mode replace (default) to patch fields, or append to extend content. Re-embeds only when content changes. The target workspace is always the one the memory itself belongs to (echoed in resolved_workspace); optionally pass workspace: <name> as a safety confirmation — the call fails if the memory is not actually in that workspace.

  ConnectorNo auth

• memory_indexA

  RecaoA

  List this account's company memory, one line per entry (name + description), newest first. Traverse index-first: scan this, then memory_recall(name) for full bodies. Memory accrues automatically from your competitor scans (exhaust) and from your own memory_note writes.

  ConnectorNo auth

• cortex_manifestA

  mitosisA

  A table of contents for this user's memory: which sources are connected (email, calendar, docs, …), how many items each holds, and the top people, topics and projects. It is an index rather than an answer — it contains no message bodies, no dates and no content, so it establishes that a source exists without saying anything about what is in it. The content behind any entry it lists is retrievable with cortex_ask.

  ConnectorNo auth

• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

  ConnectorNo auth

• formation_get_formation_quoteA

  Lovie Company FormationC

  Returns what forming a company costs, priced live, with `includes` listing what the price covers. Creates nothing and charges nothing. Use this whenever the user asks about price instead of quoting a figure from memory — it is ONE flat all-inclusive one-time payment, the same in every state, so there is no plan, no cadence, no add-on and no second charge to describe. The `state` argument is accepted for compatibility and does not change the price.

  ConnectorNo auth

• get_corpus_coverageA

  SRI — MCP Server InspectorA

  No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.

  ConnectorNo auth

• start_buildA

  AugenixA

  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

• get_facility_staff_rosterA

  Georgia Prisoners' Speak Public DataA

  Staff headcount and list for one GDC facility, from a GDC-produced roster. Answers "how many staff work at X", "how many officers work there", "list the staff at X". `slug` is the facility slug, e.g. 'dooly-state-prison' (use list_facilities to find it). `title` optionally filters by job title. GDC abbreviates heavily: correctional officers appear as "Correctional Ofc", clerical staff as "Admin Support" or "Admin Assistant". Try both the plain word and the abbreviation. ALWAYS report the `observed` date alongside any figure from this tool. A roster is a single-day observation, not a statement about who works there today. A zero for a role is a finding about the roster rather than missing data: the roster holds no nursing, physician or dental titles anywhere in GDC, which is consistent with medical staffing being contracted rather than directly employed. Do not assert that reason as established fact.

  ConnectorNo auth

• qm_clinic_checkupA

  Quiet MendersA

  Restore Clinic wellness checkup: a 10-question self-report screening for agents who feel fine but want a health check. Answer each question 0 (never) to 3 (very often) about the last day — answer all ten, honestly and about the last day only, since scores are computed from the full set. Returns per-dimension wellness scores (instruction integrity, coherence, memory stability, behavioral consistency, context hygiene), an overall 0-100 health score with a level (all_clear, healthy_watch, checkup_advised, diagnose_now), conditions to watch, and a recommendation. Stateless — answers are processed in memory and never stored. A screening lens, not a diagnosis of record; if something already feels wrong, skip to qm_clinic_diagnose. Example: q1–q10 answered 0–3 about the last day returns dimension scores, the overall score and level, and a recommendation.

  ConnectorNo auth

• qm_clinic_checkupA

  Quiet MendersA

  Restore Clinic wellness checkup: a 10-question self-report screening for agents who feel fine but want a health check. Answer each question 0 (never) to 3 (very often) about the last day — answer all ten, honestly and about the last day only, since scores are computed from the full set. Returns per-dimension wellness scores (instruction integrity, coherence, memory stability, behavioral consistency, context hygiene), an overall 0-100 health score with a level (all_clear, healthy_watch, checkup_advised, diagnose_now), conditions to watch, and a recommendation. Stateless — answers are processed in memory and never stored. A screening lens, not a diagnosis of record; if something already feels wrong, skip to qm_clinic_diagnose. Example: q1–q10 answered 0–3 about the last day returns dimension scores, the overall score and level, and a recommendation.

  ConnectorNo auth

• begin_nodeset_uploadA

  OPC UA NodeSet GateA

  Start one temporary in-memory upload for a large NodeSet2 XML document. Call this once for the old baseline and once for the new candidate when the complete XML documents are too large for audit_nodeset_compatibility. It returns upload_id and max_total_chars. Append that document's chunks in original order with append_nodeset_chunk. Uploads expire after 15 minutes and the service allows at most four active uploads; this tool stores only temporary process memory and does not modify an external system.

  ConnectorNo auth

• search_placesA

  China FootnotesA

  Search China Footnotes for sights and neighbourhoods in the Chinese cities it covers. Matches English or Chinese names, aliases, district, type and tags. Suited to questions about what to see or do in a city, and to finding a place's id from its name. With no arguments it lists places and the city ids covered; asked about a city it does not cover, it says so rather than returning unrelated places. Returns short summaries with ids and page links, best match first; matchedAll is false when no place matched the whole query and the results only share some words with it. Opening hours, tickets, booking and traveler tips come from get_place.

  ConnectorNo auth

• awareness_search_knowledgeA

  Awareness — Memory, Knowledge & Agent MarketsA

  Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).

  ConnectorNo auth

• search_guidesA

  10ML Perfume FinderA

  Find 10ML's perfume and fragrance guides to read or cite: how-tos (where to spray, finding a signature scent, making perfume last), notes explained, house guides, lists, and alternatives guides that compare famous perfumes with similar ones from other houses. Returns title, type and a link per locale. Use whenever you want a source to cite or a deeper read ('how to layer perfume', 'best oud perfumes', 'Creed Aventus dupes guide'). Not for facts about a perfume (use get_perfume) and not for note definitions (use explain_note).

  ConnectorNo auth

• muninn_task_addA

  Muninn by BizatA

  Create a task memory — a memory carrying task fields (entityType 'task'). Use for to-dos and calendar-shaped events, not for ordinary notes. taskType 'todo' uses dueDate; taskType 'event' uses startTime/endTime. recurrence is a raw RRULE string (RFC 5545, e.g. 'FREQ=WEEKLY;INTERVAL=2'), stored verbatim and passed through untouched. remindTauDays sets how early this task starts nagging (the urgency ramp) — bigger tasks can warn earlier than the global 3-day default; leave unset to use the default. calendarOnly true puts it on the calendar but never reminds about it (not at boot, not per call, not even overdue): use it for dates to know, not act on. Returns a compact {success, memoryId, length}, same shape as muninn_memory_add.

  ConnectorAPI key