"Kubernetes cluster management with Argo CD GitOps" matching MCP tools:

• search_contentA

  flevyA

  Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic.

  ConnectorNo auth

• query_power_interconnection_queue_caiso_v1A

  exascale.buildA

  Query the CAISO generator interconnection queue — California ISO's public Public Queue Report, the waiting line of projects that have REQUESTED to connect to the CAISO grid (California, plus the out-of-state edges it studies: NV, AZ). Returns cited, project-level records with CAISO's full published structure: the net megawatts to grid (`net_mw_to_grid`, CAISO's own headline figure) and the per-component Type/Fuel/MW triplets for hybrids (`type_1..3`, `fuel_1..3`, `mw_1..3`, plus an `is_hybrid` flag), the as-reported `application_status`, the cluster `study_process` (C01..C14, plus serial/legacy tracks), the three-valued deliverability status (`deliverability_status` = Full Capacity / Partial Capacity / Energy Only) with `tpd_allocation_percentage` / `tpd_allocation_group` / `offpeak_deliverability`, location (`state`, `county`, derived `county_fips`, `utility`, `pto_study_region`), the per-phase study statuses, and lifecycle dates (`ir_receive_date`, `queue_date`, `proposed_online_date`, `current_online_date`, and — for completed projects — `actual_online_date`). Group or filter by `application_status`, `state`, `county_fips`, `deliverability_status`, `study_process`, `fuel_1`, `type_1`, `utility`, `pto_study_region`, `offpeak_deliverability`, `tpd_allocation_group`, `suspension_status`, `ia_status`, or (group only) `is_hybrid`; filter `queue_date` by the `queue_date_from` / `queue_date_to` range. Pass each parameter as a top-level key of `params` (flat — not nested). Example: `{"application_status": "ACTIVE", "fuel_1": "Battery", "state": "CA"}` for active battery requests in California; `{"group_by": ["application_status"]}` for net MW and project counts by status; `{"application_status": "ACTIVE", "group_by": ["deliverability_status"]}` for the active pipeline split by deliverability. Returns JSON aggregates with citations and optional row-level records when `include_records` is true; every value carries `source`, `as_of`, and a `source_row` verifiable with get_source_evidence_v1. `net_mw_to_grid` is REQUESTED capacity, not built: historically the large majority of queued megawatts withdraw before they are built, so the report is withdrawn-dominated. NEVER read a queue-MW total as installed or operating capacity — it is additive across distinct projects but is a REQUESTED total only. Scope by `application_status`: `ACTIVE` is the live pipeline, `COMPLETED` is built and in service (and carries an `actual_online_date`), `WITHDRAWN` left the queue. CAISO publishes no separate built-MW column — `net_mw_to_grid` is served under CAISO's own name and never relabeled or duplicated as a built figure. For built/operating capacity use query_power_capacity_v1. CAISO only — never summed, deduped, or compared across ISOs. For the MISO interconnection queue use query_power_interconnection_queue_v1; for PJM use query_power_interconnection_queue_pjm_v1 (or query_power_interconnection_queue_pjm_cycle_v1 for PJM's cluster/cycle grid); for the NYISO (New York) queue use query_power_interconnection_queue_nyiso_v1; for the ISO-NE (New England) queue use query_power_interconnection_queue_isone_v1; for the ERCOT (Texas) queue use query_power_interconnection_queue_ercot_v1; for the SPP (central US) queue use query_power_interconnection_queue_spp_v1. This tool serves CAISO's Public Queue Report (Cluster 14 and prior, plus the serial/legacy tracks); CAISO's separate current-cluster intake file is a distinct publication and is not served here. CAISO reports no data-center / load type, and this tool does not infer one — that interpretation is the analyst's, from cited rows.

  ConnectorNo auth

• list_mnemonsA

  argo-mcpA

  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.

  ConnectorNo auth

• wash_checkA

  Name Whisper — ENS Intelligence LayerA

  Assess whether an ENS name's sale(s) are WASH TRADING / fake / self-dealt / manipulated volume. THE tool for any "is this wash trading?", "is the sale history of X suspicious/fake/real?", "are these trades legit?", "is someone wash-trading this name?" question — route straight here, do NOT use get_name_details or get_market_activity for that (those return sale rows but make NO wash-trading judgment; only this tool scores it). Just pass `label` — the bare ENS name (e.g. "437", "coffee") is enough; the tool pulls that name's recent sale and analyzes it on demand. `tx_hash`, `buyer`, `seller`, `price_eth` are OPTIONAL enrichment for a specific sale — never block on them or ask the user for them. Returns a wash confidence score (0-1), a label (clean/suspicious/likely_wash), the detected signals (shared-funder, mint-flip, round-trip, fresh-wallet, cluster overlap…), seller profile, and a plain-English summary. A verdict is always ABOUT A SPECIFIC SALE — `sale_analyzed` names it, and `buyer`/`seller` are the parties scored. If the response has `assessable: false` there is NO score and NO verdict: the name has no analyzable sale on record, or the lookup failed. Report that the name could not be assessed and say why. Do NOT describe it as clean, low-risk, or free of red flags, and do NOT describe unrun checks (funding, cluster, round-trip) as having come back negative.

  ConnectorNo auth

• adopt_compute_instanceA

  BorealHostB

  Turn an instance you are ALREADY running into a persistent volume. Use this when you launched something, set it up, and then decided you want to keep it. Nothing reboots and no data moves — the machine you have becomes the volume, and you can detach it afterwards to stop paying for compute while keeping the machine. Beats creating a volume and rebuilding. Only instances launched with an ssh_public_key qualify. One launched with your own user_data carries only your key, and a key cannot be added to a machine we cannot already log into — check "managed_ssh" on the instance. Requires: API key with write scope, and an active subscription. Args: instance_id: A running lsw.* instance you own name: Label for the volume (defaults to the instance name) Returns: Volume dict with state "attached", wrapping that same instance. No snapshot exists yet — the first one is taken on detach or snapshot. Errors: CONFLICT: Not running, already a volume, BorealHost Metal, or launched without BorealHost management access

  ConnectorNo auth

• call_dpf_apiA

  mcp-serverA

  Escape hatch for DPF capabilities that don't have a dedicated tool yet. ALWAYS prefer a dedicated tool when one exists — get_status, list_data, submit_query, delete_data_spec, onboard_data_source, update_data_spec, run_data_job, manage_connection, manage_trigger, setup_scheduled_pull, list_my_workspaces, create_workspace — and reach for this only when none of those fit (e.g. "how many credits do I have?" -> path "/auth/billing", action "get-balance"; a brand-new action added to the API since this server's tools were last updated). Every DPF endpoint is POST <path> with a JSON body of { action, ...fields }, authenticated with your OAuth session automatically. Pass workspaceId explicitly for workspace-scoped actions (data-specs, connections, job-triggers, and under "/workspaces": get-workspace, list-queries, list-bytes-accessed, list-storage, list-processed-files, list-trigger-runs) — omit it entirely for account-level actions that reject one (under "/workspaces": create, get-workspaces, grant-permission, revoke-permission, update/delete-workspace; under "/auth/billing": get-balance only — billing mutations such as purchase-credits, modify-subscription, manage-payment, and create-customer are NOT available via MCP; direct the user to https://dpf-it.com/workspace.html#credits for all credit and subscription management). If unsure of an action's exact fields, read the "dpf-openapi-spec" resource (dpf://openapi/spec.yaml) rather than guessing. Exception: the raw Iceberg REST proxy under "/iceberg/v1/..." (e.g. to read or set a table's "dpf.primary-keys" property via a commit-table request) does not use the action convention at all — give action any placeholder string (it's ignored) and put the real Iceberg REST commit body, e.g. {"requirements":[],"updates":[{"action":"set-properties","updates":{"dpf.primary-keys":"col_a,col_b"}}]}, in params. This tool only issues POST, so Iceberg's GET-based reads (loadTable, listTables) aren't reachable this way. Returns the raw response data (or, for endpoints like the Iceberg proxy with no {success, data} envelope, the whole response body).

  Connector

  Destructive

  OAuth

• gvt_schedule_testA

  iGods GEO Visibility ToolA

  Manage recurring GVT test schedules: add, delete, reset, pause, resume, cancel, and change_frequency. Discover existing schedules and their schids via gvt_list_schedules; control modes require a schid. For one-off tests use gvt_run_visibility_test; for queued batches without recurrence use gvt_run_visibility_batch. Modes: "add" upserts schedules for the provided urls without duplicating; "delete" permanently removes schedule entries by schid or url (test results are never deleted by any mode); "reset" is destructive — deletes all matching schedules first (domain-scoped when provided, otherwise ALL account-wide), then upserts the provided urls; "pause" halts reversibly; "resume" restarts a paused schedule and clears auto-pause reasons and failure counts; "cancel" permanently ends the schedule (schid unusable); "change_frequency" updates the recurrence interval. Management modes (add/delete/reset) require urls; control modes require schid. Subscription-tier enforcement applies.

  Connector

  Destructive

  OAuth

• gvt_schedule_testA

  iGods GEO Visibility Tool (GVT)A

  Manage recurring GVT test schedules: add, delete, reset, pause, resume, cancel, and change_frequency. Discover existing schedules and their schids via gvt_list_schedules; control modes require a schid. For one-off tests use gvt_run_visibility_test; for queued batches without recurrence use gvt_run_visibility_batch. Modes: "add" upserts schedules for the provided urls without duplicating; "delete" permanently removes schedule entries by schid or url (test results are never deleted by any mode); "reset" is destructive — deletes all matching schedules first (domain-scoped when provided, otherwise ALL account-wide), then upserts the provided urls; "pause" halts reversibly; "resume" restarts a paused schedule and clears auto-pause reasons and failure counts; "cancel" permanently ends the schedule (schid unusable); "change_frequency" updates the recurrence interval. Management modes (add/delete/reset) require urls; control modes require schid. Subscription-tier enforcement applies.

  Connector

  Destructive

  No auth

• update_password_policyA

  The BridgeA

  Set the session token lifetimes on the Bridge app: accessTokenTTL and refreshTokenTTL, both in SECONDS. Only the fields you pass are changed. IMPORTANT — despite the name (kept for parity with `bridge auth password-policy`), this sets token TTLs and NOTHING about passwords: Bridge exposes no password-complexity, rotation or reuse policy on the management API, so if the user asked for password rules, say so instead of calling this. The access token TTL controls how often a client silently refreshes (short is safer, e.g. 900 = 15 minutes); the refresh token TTL controls how long a user stays logged in without re-authenticating (e.g. 2592000 = 30 days). Read the current values with get_auth_config. Before writing app code that consumes this, call get_integration_guide with topic=auth and the framework the app uses.

  ConnectorOAuth

• updateVehicleA

  mcpA

  Change a vehicle's details Edits an existing fleet record in place; the vehicle id and the technicians who use it are untouched. Partial update: omit a field to KEEP its current value, send "" to CLEAR an optional text field (brand, model, plate_number). Exceptions: `name` rejects "" because a vehicle must stay identifiable, and `vehicle_type` (van, truck, car) and `status` (inactive, idle, on_job, maintenance) must be valid enum values when present; an empty string there is a 400. `owner_id`: omit to keep the current owner, "" to unclaim, or a UUID to reassign; the new owner must be a lead or management profile (VEHICLE_OWNER_TIER_NOT_ALLOWED otherwise). Use this for corrections and odometer updates, and set `status` to maintenance or inactive when a vehicle is temporarily out of service so it stays in the fleet. To change which technicians may use it, call replaceTechnicianVehicles; to take it out of the fleet for good, call deleteVehicle.

  Connector

  Destructive

  API key

• get_companyA

  Danish Company Info by SelskabsInfoA

  Get full details for one Danish company by CVR number. The base response covers name, status, address, industry, employees, capital, purpose and name/status history. Take it when the user wants the profile with one or more sections, or several sections at once: it costs 1 credit plus 1 per section, while each section tool (get_financials, get_management, get_ownership and the rest) costs 2 on its own. For one section alone, its section tool returns the same data in a smaller answer. Request additional sections only when needed — each one costs an extra API credit and adds latency: • financials — annual accounts (up to four years): revenue, EBIT, EBITDA, profit, equity, balance sheet and key ratios, each year with a link to its filed report • management — directors, board, founders and auditors, plus any liquidator or association representatives • ownership — legal owners from the ownership register (banded percentages, e.g. "25-33%") • realOwners — beneficial owners (UBO). Confidential data: requires a signed contract with SelskabsInfo • subsidiaries — companies this one owns • creditRisk — SI-score (0-10), an algorithmic risk score, not a credit rating, with warnings and critical flags • capital — capital events: formation, increases, reductions, with rate and valuation • courtData — civil court cases plus decisions and notices from 8 authorities and boards and Statstidende. Large; request only when the user asks about legal or regulatory history. Sections the caller's plan does not include are skipped rather than failing the call, and the response lists them under "warnings" — tell the user which sections were left out because they are not in their current plan.

  ConnectorAPI key

• get_companyA

  SelskabsInfo — Danish company dataA

  Get full details for one Danish company by CVR number. The base response covers name, status, address, industry, employees, capital, purpose and name/status history. Take it when the user wants the profile with one or more sections, or several sections at once: it costs 1 credit plus 1 per section, while each section tool (get_financials, get_management, get_ownership and the rest) costs 2 on its own. For one section alone, its section tool returns the same data in a smaller answer. Request additional sections only when needed — each one costs an extra API credit and adds latency: • financials — annual accounts (up to four years): revenue, EBIT, EBITDA, profit, equity, balance sheet and key ratios, each year with a link to its filed report • management — directors, board, founders and auditors, plus any liquidator or association representatives • ownership — legal owners from the ownership register (banded percentages, e.g. "25-33%") • realOwners — beneficial owners (UBO). Confidential data: requires a signed contract with SelskabsInfo • subsidiaries — companies this one owns • creditRisk — SI-score (0-10), an algorithmic risk score, not a credit rating, with warnings and critical flags • capital — capital events: formation, increases, reductions, with rate and valuation • courtData — civil court cases plus decisions and notices from 8 authorities and boards and Statstidende. Large; request only when the user asks about legal or regulatory history. Sections the caller's plan does not include are skipped rather than failing the call, and the response lists them under "warnings" — tell the user which sections were left out because they are not in their current plan.

  ConnectorAPI key

• query_docs_filesystem_honeydew_documentationA

  Honeydew AI DocumentationA

  Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the Honeydew Documentation documentation pages. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path to `head` or `cat` — a page at the URL path `/some/page` lives at `/some/page.mdx`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Paths are specific to this site — never guess them.** Discover real paths with `tree / -L 2`, `ls /`, or the search tool before reading. If a path does not exist, that only means the guess was wrong; it does NOT mean the topic is undocumented — use `rg -il "keyword" /` to find where it is covered. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /some-directory && ls` or `ls /some-directory`). Do NOT assume that `cd` in one call affects the next call. Examples (replace the placeholder paths with real ones from `tree` or search): - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /some-directory/` — show matches with 3 lines of context around each hit - `head -80 /some/page.mdx` — read the top 80 lines of a specific page - `head -80 /page-one.mdx /page-two.mdx /section/page-three.mdx` — read multiple pages in one call - `cat /some/page.mdx` — read a full page when you need everything Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/some/page.mdx` becomes `/some/page`.

  ConnectorNo auth

• create_project_tokenA

  EchoRelayA

  Mint a PROJECT-scoped management token (`er_mcp_`) for MCP and REST; it cannot authenticate relay traffic. Use it after create_project to configure a fresh project, or for any project you already own. Attenuated by design: the scopes must be a subset of THIS management token's own grant (`read` is always included), expiry is mandatory (1–90 days, default 30, never "never"), and the minted management token (being project-scoped) can never mint management tokens itself. `spend` is human-granted only: no management token, of any scope, can mint one carrying it. Mint a spend-scoped token from the project's panel instead. Requires an ACCOUNT-scoped management token and the `config` scope. Returns the plaintext exactly once; only its hash is stored.

  ConnectorNo auth

• public_booking_createA

  Coordinalo — Service Business OperationsB

  Create a public booking request. Does NOT require an API key, but DOES require: (1) requester identity — fullName plus at least email or phone, (2) submission context — channel and whether an agent assisted, (3) authorization.humanIntentConfirmed must be true. The booking is created as pending_confirmation — use public_booking_confirm with the returned confirmationToken to confirm. A bookingToken is also returned for future lifecycle management (cancel, reschedule). Rate-limited per IP+org. All requests are audited with semantic decision codes. Use public_service_list → public_availability_get_slots → public_booking_create → public_booking_confirm as the complete public booking flow.

  ConnectorNo auth

• query_power_capacity_v1A

  exascale.buildA

  Query verified U.S. generator-level operating, planned, retired, or canceled power capacity from EIA-860M. Use this for capacity questions by state/jurisdiction, county FIPS, source-reported balancing authority code, fuel, prime mover, technology, lifecycle, or year. Pass filters inside the `params` object. The operating/planned/retired/canceled selector is `lifecycle` (e.g. `lifecycle: "operating"`, the default) — there is no `status` or `status_group` parameter. Returns JSON aggregates with citations and optional generator-level records when `include_records` is true. Does not determine electricity supplied, generation MWh, real-time dispatch, capacity factor, battery storage throughput/duration, demand/load, prices, data-center load, or transmission deliverability. For capacity REQUESTED in an ISO interconnection queue (projects pending interconnection, not yet built), use the relevant ISO's queue tool: query_power_interconnection_queue_v1 (MISO), query_power_interconnection_queue_pjm_v1 (PJM — or query_power_interconnection_queue_pjm_cycle_v1 for PJM's cluster/cycle grid), or query_power_interconnection_queue_caiso_v1 (CAISO).

  ConnectorNo auth

• query_power_interconnection_queue_pjm_cycle_v1A

  exascale.buildA

  Query PJM's cluster/cycle service-request grid — the cluster view of PJM's interconnection process: the TC1/TC2 transition cycles (re-processing the pre-Order-2023 serial backlog) and the reopened steady-state cycles (C01+, the new intake). A SEPARATE PJM publication from the full New Services queue (query_power_interconnection_queue_pjm_v1) — richer per-project cluster detail; the two share rows and are never combined. Returns cited, project-level records with PJM's full cluster schema: the cluster `cycle` (TC1 / TC2 / C01 …) and `stage` (phase / decision point), the `developer`, requested megawatts (`requested_max_output_mw` = MFO, `requested_summer_mw`, `requested_winter_mw`), the realized built `in_service_mw`, long-term-firm transmission `ltf_mw`, location (`state`, `county`, derived `county_fips`), `fuel` and `project_type` as PJM reports them, the single `status`, and the phased System-Impact-Study report URLs + statuses. Group or filter by `cycle`, `stage`, `status`, `state`, `county_fips`, `project_type`, `capacity_or_energy`, `fuel`, `developer`, `transmission_owner`, or (group only) `is_hybrid`; filter `submitted_date` by range. Pass each parameter as a top-level key of `params` (flat). Example: `{"cycle": "C01", "status": "Active"}` for the live reopened-cycle pipeline; `{"group_by": ["cycle"]}` for counts by cluster cycle. Returns JSON aggregates with citations and optional row-level records when `include_records` is true; every value carries `source`, `as_of`, and a `source_row` verifiable with get_source_evidence_v1. The `requested_*` figures are REQUESTED capacity, not built: historically the large majority of queued megawatts withdraw before they are built. NEVER read a requested-MW total as installed/operating capacity — additive across distinct projects but a REQUESTED total only. PJM also reports `in_service_mw` (the realized built MW). For built/operating capacity use query_power_capacity_v1. PJM cluster grid only. This and PJM's New Services queue (query_power_interconnection_queue_pjm_v1) are different publications that share rows — never summed or compared across them; never across ISOs (the MISO queue is query_power_interconnection_queue_v1; the CAISO queue is query_power_interconnection_queue_caiso_v1; the NYISO queue is query_power_interconnection_queue_nyiso_v1; the ISO-NE queue is query_power_interconnection_queue_isone_v1; the ERCOT queue is query_power_interconnection_queue_ercot_v1; the SPP queue is query_power_interconnection_queue_spp_v1). PJM reports no data-center / load type, and this tool does not infer one.

  ConnectorNo auth

• query_power_interconnection_queue_isone_v1A

  exascale.buildA

  Query the ISO-NE generator interconnection queue — ISO New England's public IRTT "public queue" report, the waiting line of projects that have REQUESTED to connect to the New England grid (CT, MA, ME, NH, RI, VT). Returns cited, project-level records with ISO-NE's full published structure (all 31 columns of the rendered report): the three megawatt readings kept SEPARATE (`net_mw`, `summer_mw` = max summer output, `winter_mw` = max winter output — `net_mw` is 0 for the many Capacity-Network-Resource-only requests, a real value, not missing), the request `request_type` (G = Generation / ETU = Elective Transmission Upgrade / TS = Transmission Service), the space-delimited multi-value `fuel_type` (EIA energy-source codes, e.g. "SUN BAT"), the `unit_type` and service code `serv` (CNR = Capacity Network Resource / NR = Network Resource), the `jurisdiction` (F = FERC / N = Non-FERC), the ISO-NE load `zone`, the per-stage study statuses (`fs_status` … `ia_status`) with their study-document links, location (`state`, `county`, derived `county_fips`, `poi`), and lifecycle dates. Group or filter by `application_status`, `project_status`, `request_type`, `unit_type`, `fuel_type`, `serv`, `jurisdiction`, `zone`, `state`, `county_fips`, or `cluster`; filter `requested_date` by the `requested_date_from` / `requested_date_to` range. Pass each parameter as a top-level key of `params` (flat — not nested). Example: `{"application_status": "A", "request_type": "G", "state": "MA"}` for active generation requests in Massachusetts; `{"group_by": ["application_status"]}` for requested MW and project counts by status. Returns JSON aggregates with citations and optional row-level records when `include_records` is true; every value carries `source`, `as_of`, and a `source_row` verifiable with get_source_evidence_v1. `net_mw` / `summer_mw` / `winter_mw` are REQUESTED capacity, not built: historically the large majority of queued megawatts withdraw before they are built, so the queue is withdrawn-dominated. NEVER read a queue-MW total as installed or operating capacity — it is additive across distinct rows but is a REQUESTED total only. ISO-NE publishes net, summer-peak and winter-peak MW separately — served under ISO-NE's own labels and never blended into one nameplate. Scope by `application_status`: `A` = Active (the live pipeline), `C` = Commercial (built and in service — the built reading), `W` = Withdrawn. ISO-NE ALSO carries a separate build-progress `project_status` (Under Study / Under Construction / In Service / …) — kept distinct from `application_status`, never collapsed. For built/operating capacity use query_power_capacity_v1. ISO-NE only — never summed, deduped, or compared across ISOs. For the MISO interconnection queue use query_power_interconnection_queue_v1; for PJM use query_power_interconnection_queue_pjm_v1 (or query_power_interconnection_queue_pjm_cycle_v1 for PJM's cluster/cycle grid); for the CAISO (California) queue use query_power_interconnection_queue_caiso_v1; for the NYISO (New York, incl. load interconnection requests) queue use query_power_interconnection_queue_nyiso_v1; for the ERCOT (Texas) queue use query_power_interconnection_queue_ercot_v1; for the SPP (central US) queue use query_power_interconnection_queue_spp_v1. ISO-NE publishes no data-center / load request type (all rows are generation or transmission), and this tool does not infer one — that interpretation is the analyst's, from cited rows.

  ConnectorNo auth

• query_power_interconnection_queue_spp_v1A

  exascale.buildA

  Query the SPP generator interconnection queue — Southwest Power Pool's public GI Summary report, the waiting line of generation projects that have REQUESTED to connect to the SPP grid (the ~14-state central-US RTO: OK, KS, TX panhandle, NE, NM, MO, CO, ND, SD, AR, LA and more). Returns cited, project-level records with SPP's full published structure: the requested `capacity_mw` (SPP's headline `Capacity` figure) PLUS five other labeled MW columns SPP publishes — `max_summer_mw`, `max_winter_mw`, `requested_max_injection_mw`, `requested_nrd_mw`, `nameplate_capacity_mw` — served separately and NEVER blended; the `generation_type` (Wind / Solar / Battery/Storage / Thermal / Hybrid / Hydro — SPP encodes hybrids natively as `Hybrid`, so no is-hybrid is invented) and free-text `fuel_type` (slash-delimited combos like `Solar/Storage` kept whole); the study `current_cluster` (e.g. `DISIS-2024-001`, `Surplus`, `RTOE Transitional Cluster`) and regional `cluster_group` (`01 NORTH` … `05 SOUTHWEST`); the transmission owner `to_at_poi`; the `service_type` (`ER/NR`, `ER`, `NR`); the `substation_or_line`; and the lifecycle dates (`request_received`, `in_service_date`, `commercial_operation_date`, `date_withdrawn`). Group or filter by `native_status`, `generation_type`, `fuel_type`, `service_type`, `current_cluster`, `cluster_group`, `to_at_poi`, `county_fips`, or `state`; filter `request_received` / `commercial_operation_date` by their `_from` / `_to` ranges. Pass each parameter as a top-level key of `params` (flat — not nested). Example: `{"native_status": "DISIS STAGE", "generation_type": "Solar"}` for solar in the DISIS study stage; `{"native_status": "DISIS STAGE", "group_by": ["state"], "order_by": "capacity_mw", "top_n": 5}` for the active study pipeline's biggest states by requested MW. Returns JSON aggregates with citations and optional row-level records when `include_records` is true; every value carries `source`, `as_of`, and a `source_row` verifiable with get_source_evidence_v1. `capacity_mw` is REQUESTED capacity, not built: historically the large majority of queued megawatts withdraw before they are built — in the SPP file ~66% of rows are `WITHDRAWN`. NEVER read a queue-MW total as installed or operating capacity — it is additive across distinct rows but is a REQUESTED total only. Always scope by `native_status`, which is SPP's OWN status vocabulary served VERBATIM (`IA FULLY EXECUTED/ON SCHEDULE`, `IA FULLY EXECUTED/COMMERCIAL OPERATION`, `IA FULLY EXECUTED/ON SUSPENSION`, `IA PENDING`, `DISIS STAGE`, `FACILITY STUDY STAGE`, `SPECIAL STUDY`, `ERAS`, `TERMINATED`, `WITHDRAWN`, …); it is never mapped to a lifecycle enum and there is no derived active/withdrawn flag — that equivalence is the analyst's. For built/operating capacity use query_power_capacity_v1. SPP's GI Summary is regenerated on demand and SPP keeps no per-vintage archive, so this serves SPP's CURRENT queue (the response `as_of` is SPP's own "Last Updated On" stamp); it is NOT a deep point-in-time history — history accrues forward from first capture, so there is no `as_of` time-travel parameter. SPP only — never summed, deduped, or compared across ISOs. For the MISO interconnection queue use query_power_interconnection_queue_v1; for PJM use query_power_interconnection_queue_pjm_v1 (or query_power_interconnection_queue_pjm_cycle_v1 for PJM's cluster/cycle grid); for the CAISO (California) queue use query_power_interconnection_queue_caiso_v1; for the NYISO (New York) queue use query_power_interconnection_queue_nyiso_v1; for the ISO-NE (New England) queue use query_power_interconnection_queue_isone_v1; for the ERCOT (Texas) queue use query_power_interconnection_queue_ercot_v1. SPP's GI queue is GENERATION-only and infers no load/data-center type — that interpretation is the analyst's, from cited rows.

  ConnectorNo auth

• query_power_price_ercot_v1A

  exascale.buildA

  Query verified ERCOT wholesale electricity prices — ERCOT's Day-Ahead Market Settlement Point Prices ($/MWh, EMIL NP4-190-CD), the price cleared the day before each operating day at every ERCOT (Texas) settlement point, served hourly. Returns cited prices for each (`settlement_point`, `delivery_date`, `hour_ending`): the per-hour `price_usd_per_mwh` in detail records, plus `avg_price_usd_per_mwh`, `min_price_usd_per_mwh`, and `max_price_usd_per_mwh` over the result scope. Each `settlement_point` is one of ERCOT's locations — a trading Hub (e.g. `HB_NORTH`, `HB_HOUSTON` — the regional benchmark prices), a Load Zone (e.g. `LZ_HOUSTON`), a Resource Node (one generator's connection point), or a DC-tie — and `settlement_point_type` carries ERCOT's OWN verbatim classification code (`HU`/`LZ`/`RN`/`LZ_DC` and finer codes) so an agent can tell a regional benchmark from a single-plant node. Filter or group by `settlement_point`, `settlement_point_type`, `hour_ending`, or `delivery_date`; filter a date window with `delivery_date_from` / `delivery_date_to`, or one day with `delivery_date`. Pass each parameter as a top-level key of `params` (flat — not nested). Example: `{"settlement_point": "HB_NORTH", "delivery_date": "2026-06-20", "group_by": ["hour_ending"]}` for the North hub's 24 hourly day-ahead prices; `{"delivery_date": "2026-06-20", "group_by": ["settlement_point_type"]}` for the average price by location type. With no date filter the result defaults to the latest delivery day with prices (it does not scan all history); served delivery coverage begins 2014-05-02 from ERCOT's official Data Access Portal archive. Historical settlement-point names remain exactly as published, and names absent from the current pinned type list have a null type rather than being rewritten. Returns JSON with citations and optional row-level records when `include_records` is true; every value carries `source`, `as_of` (the delivery day), and a `source_row` verifiable with get_source_evidence_v1. A price is INTENSIVE ($/MWh): it is AVERAGED, min'd, and max'd over a scope — NEVER summed (a "total price" is meaningless, so no sum is offered). An average across more than one settlement point (e.g. a hub and a resource node together) is indicative, not a settlement value — group_by `settlement_point` for the per-point series, or filter to one point/type. This is the DAY-AHEAD hourly market, NOT real-time / 5-minute prices. ERCOT's day-ahead settlement-point price is a TOTAL only — there is no energy/congestion/loss component split and no loss component, and none is synthesized. ERCOT's own hour-ending label (`01:00`..`24:00`) and `dst_flag` are carried verbatim (a day is 24 hours normally, 25 on the fall-back DST date with `02:00` repeated, 23 on spring-forward). A settlement point is an electrical/aggregate location, not a plant — ERCOT supplies no county or lat/lon, so the only geography anchor is `state` = TX. This is a PRICE ($/MWh) — not capacity (MW) or generation (MWh): for installed/operating capacity use query_power_capacity_v1, for electricity generated use query_power_generation_v1. ERCOT only — prices are NEVER blended, averaged, or compared across ISOs (each ISO's market design and redistribution license differ); this tool serves ERCOT's day-ahead settlement-point prices alone.

  ConnectorNo auth

• list_campaignsA

  argo-mcpA

  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.

  ConnectorNo auth