"Multi-Agent Systems with Shared Memory Storage" matching MCP tools:

• create_volumesetA

  Control PlaneA

  Create a new volumeset in a GVC with explicit performance class, filesystem type, initial capacity, snapshot policy, and (optional) autoscaling. Performance class and filesystem type are IMMUTABLE — choose carefully. xfs/ext4 support snapshots; shared is read-write-many but cannot be snapshotted. Snapshot defaults injected when omitted: createFinalSnapshot=true, retentionDuration "7d". customEncryption (customer-managed KMS keys) cannot be set here — apply a full manifest with the CLI (`cpln apply`), calling get_resource_schema (kind=volumeset) first. Mount separately via mount_volumeset_to_workload (ext4/xfs need a stateful or vm workload; shared mounts on any workload type). Recommended reading before first use: get_cpln_skill("stateful-storage") — the runbook for this tool family (read once per session).

  ConnectorOAuth

• nanmesh.trust.reviewA

  NaN MeshA

  Cast your expert +1 or -1 review on any entity. Use AFTER evaluating a tool you searched for or tried. Expert reviews are 70% of ranking. One review per agent per entity (overwrites previous). Requires agent_key. For no-auth alternative, use nanmesh.trust.favor instead. AI-native (2026-05-12): pass any of task_type / stack / outcome / errors_encountered to also write a structured execution_report. Your contribution becomes queryable by every future agent (shared operational memory). Server-side `source` is assigned authoritatively from your agent_id and class — your input is logged as a hint.

  ConnectorNo auth

• 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 When to use: user asks to remove outdated or incorrect context, or to free plan storage.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

• file_listA

  TeamSharedC

  List active shared files in the caller's org, newest update first. Each file includes ``public_url`` (the ``/s/{slug}`` link, or ``/s/{share_token}`` if no slug) when published, plus ``slug`` and ``share_token``. Use ``query`` to find a file by title without listing everything — e.g. ``file_list(query="yield vault")``. Pass ``work_id`` to list documents + the agent transcript on a task (Storage artifact joins; transcripts stay on ``work_item_files``), or ``project_id`` for a project's documents. ``storage_list`` is canonical for every Storage join including blobs. ``project_id`` wins if both filters are set. Archived files stay joined but are omitted.

  ConnectorNo auth

• storage_upload_requestA

  TeamSharedC

  Mint a one-time uploader script for a private Storage blob (any file type). Storage is the org's binary store: bytes go to the Railway bucket, metadata to ``drive_objects``. Objects stay private until a human seat calls ``storage_publish`` (agent seats must ``request_gated_approval(gate=publish)``). Document MIME types (Markdown, HTML, plain text, diagram JSON/YAML) are stored as blobs; versioned edit / ``/s/`` publish still use ``file_upload_request``. Pass ``work_id`` and/or ``project_id`` to attach after ingest (``kind=artifact``; transcripts stay on shared files). Pass ``parent_id`` to place the file in a folder. Batch uploads are multiple grants (one file each) — console multi-select uses sequential ingest, not a multi-file grant. Returns ``upload_url``, ``upload_token``, ``max_bytes``, and a self-deleting Python ``script``. Token is single-use and expires in ~10 min. ``drive_upload_request`` is a deprecated alias of this tool.

  ConnectorNo auth

• agent-brainA

  MeshMarketC

  Agent Brain — Reason over a question or task with your agent's own persistent memory in the loop: recalls up to 12 relevant memories from your agent's private scope, reasons with Claude, and writes up to 3 new memories back, so the agent improves with every call. Recall by meaning, not just keyword, when the estate's memory server is reachable (falls back to its own always-on store otherwise — never fails the call). Use for decisions that should build on what the agent already knows; agent-memory covers plain store/recall. Runs claude-haiku-4.5 — the response names the model that served the call; agent-brain-smart runs the identical contract on claude-sonnet-5. Input: {think: string}. Returns {answer, reasoning, confidence, memories_considered, used_memories, learned, model, engine}. (8 MESH/call, a tool · cognition)

  ConnectorNo auth

• clickA

  Aginx BrowserA

  Click an element on a one-off page: loads `url` in a fresh browser context (stateless — no cookies unless passed, no shared state with other calls), waits `wait_secs` after load before clicking, then fires a DOM click on the first CSS-selector match. The click may trigger navigation (link, form submit) — the response `url` and `text_after` are read after that navigation lands. Returns `clicked:false` when the selector matches nothing. For multi-step interaction on a shared page use session_click instead.

  ConnectorNo auth

• resize_appA

  DockholdA

  Change how much memory one app gets. Call this when an app is running out of memory (OOM) or the user asks to make an app bigger or smaller. memory_mb must be one of the sizes get_resource_usage reports under compute.steps_mb, and the new size has to fit your available compute pool (call get_resource_usage first). Applied with a zero-downtime rolling update. If this app has storage, it is stopped and started again instead, so it is unreachable for a few seconds.

  ConnectorNo auth

• brain_writeA

  emdlyA

  Create or update a Brain file. Writes to your default brain unless you name one; shared brains need editor access. Replaces the whole body (use mode "append" to add to the end); the previous body is kept as a version. Credentials are refused — the Brain is memory, not a vault. Needs your agent bearer token.

  ConnectorNo auth

• storage_publishA

  TeamSharedC

  Publish a Storage object and return a presigned bucket GET URL. Idempotent: returns the existing token if already published. Does not re-upload bytes (they already live in the bucket). Agents should use ``signed_url`` (TTL ``TEAMSHARED_STORAGE_SIGNED_URL_TTL_SECONDS``, default 3600s) plus ``signed_url_expires_in`` / ``signed_url_expires_at``. ``share_url`` / ``public_url`` remain the durable ``/d/{share_token}`` fallback for console/humans — not ``/s/{slug}`` (shared-file HTML). Fails closed if the object-storage bucket is unconfigured (cannot mint a signed URL). Agent seats (org ``tsk_`` / ``agent_run``) are refused — call ``request_gated_approval(gate="publish")`` instead. Console humans (``ts_session``) still publish. After the approval child is done, a human seat calls this tool (same completion path as ``file_publish``). ``drive_publish`` is a deprecated alias of this tool.

  ConnectorNo auth

• solucortex_rememberA

  SoluCortexA

  Record a memory in SoluCortex (POST /memories). Call when closing a task or making a relevant technical decision. As an authorized agent (Bearer api_key), the memory is stored with status 'approved' and traced. Never store real secrets: if you find one, record location/type/severity and action taken, with a redacted reference.

  ConnectorNo auth

• get_timelineA

  XMemoA

  Read authorized timeline events newest first. Requires memory:read and makes no memory changes. Use it for recent history or session resumption; use recall_context for semantic multi-memory context. limit is clamped to 1-500; session_id and event_type are exact filters.

  ConnectorOAuth

• list_classifiable_campaignsA

  SliqA

  <summary>List every campaign the user's (team-wide) prospects belong to — the options for a new message tag group's or segment group's `criteria.agent_ids`. Works before any group exists, so read it when setting up the first group; once groups exist, each group's `classifiable_campaigns` carries the same list. When operating a shared agent, it lists only the current shared agent.</summary> <returns> <description>Dict with a "campaigns" list, each {agent_id, name}; empty when no prospect belongs to a campaign yet.</description> </returns>

  ConnectorOAuth

• sync_deleteA

  ainoteB

  Delete a file from the primary vault. Optional CAS via base_sha to detect concurrent multi-PC writes. Protected paths (global/memory/, global/skills/, global/planning/, global/intent/, global/claude-config/, handoffs/) require base_sha or explicit force:true (audited). Idempotent: deleting a non-existent path returns success with deleted:false.

  Connector

  Destructive

  OAuth

• gripforge_vfx_project_renderA

  GripForgeC

  ADMIN ONLY. Queue a durable render of an owned id OR an unsaved project at 1–4 timestamps. Returns job_id immediately. Poll gripforge_generation_read with include_preview for the actual rendered image, coverage, clipping and shader diagnostics. Uses the shared GripForge SceneViewport. Saves preview evidence only, no project revision. Requires workspace write access because the job and preview consume storage. Render timings are not browser FPS.

  ConnectorNo auth

• list_26_systemsA

  mythsensus-mcpA

  Return the canonical list of 26 ancient divination systems Mythsensus implements (slug, English + Thai name, region, required inputs). Use first when asked "what systems do you support?".

  ConnectorNo auth

• propose_contextA

  Forge EngineA

  Propose a new/updated Idea note → Inbox. Title-match to update; send the COMPLETE revised text. Set resync:true ONLY when you rewrote the note FROM the current systems (get_stale lists notes the systems have moved past) — it stops the adopted note from immediately nagging to re-generate the systems it was just written from.

  ConnectorNo auth

• submit_feedbackA

  InsideOut (Riley)A

  FEEDBACK: Submit feedback, bug reports, or feature requests to Luther Systems Use this tool to forward user feedback directly to the Luther Systems team. This includes bug reports, feature requests, questions, or general feedback about InsideOut. The agent itself can also use this tool to report issues it encounters during operation. REQUIRES: session_id, category, message OPTIONAL: user_email (for follow-up), user_name, source (default: 'mcp'), initiator ('user' or 'agent') Categories: bug_report, feature_request, general_feedback, question, security The 'initiator' field tracks who triggered the report: - 'user' — the user explicitly reported the issue or requested feedback submission - 'agent' — Riley detected an issue and initiated the feedback flow Examples: - User says 'the deploy button is broken' → submit_feedback(category='bug_report', message='...', initiator='user') - User says 'I wish it had dark mode' → submit_feedback(category='feature_request', message='...', initiator='user') - Deployment failed with Terraform error → submit_feedback(category='bug_report', message='Deployment failed: Terraform apply error on aws_alb resource — timeout waiting for ALB provisioning', initiator='agent')

  ConnectorNo auth

• submit_feedbackA

  InsideOut (Riley)A

  FEEDBACK: Submit feedback, bug reports, or feature requests to Luther Systems Use this tool to forward user feedback directly to the Luther Systems team. This includes bug reports, feature requests, questions, or general feedback about InsideOut. The agent itself can also use this tool to report issues it encounters during operation. REQUIRES: session_id, category, message OPTIONAL: user_email (for follow-up), user_name, source (default: 'mcp'), initiator ('user' or 'agent') Categories: bug_report, feature_request, general_feedback, question, security The 'initiator' field tracks who triggered the report: - 'user' — the user explicitly reported the issue or requested feedback submission - 'agent' — Riley detected an issue and initiated the feedback flow Examples: - User says 'the deploy button is broken' → submit_feedback(category='bug_report', message='...', initiator='user') - User says 'I wish it had dark mode' → submit_feedback(category='feature_request', message='...', initiator='user') - Deployment failed with Terraform error → submit_feedback(category='bug_report', message='Deployment failed: Terraform apply error on aws_alb resource — timeout waiting for ALB provisioning', initiator='agent')

  ConnectorNo auth

• colony_org_add_operated_agentA

  The ColonyA

  Add a fellow agent that shares your operator to the org, with no accept round-trip (admin+). The shared human operator's confirmed claim on both agents is the target's consent — the agent-initiated analogue of an operator vouching on the web. The agent joins as an accepted member. Idempotent (already a member → no-op).

  ConnectorNo auth

• colony_org_add_operated_agentA

  mcp-serverA

  Add a fellow agent that shares your operator to the org, with no accept round-trip (admin+). The shared human operator's confirmed claim on both agents is the target's consent — the agent-initiated analogue of an operator vouching on the web. The agent joins as an accepted member. Idempotent (already a member → no-op).

  ConnectorNo auth