"A tool or service for fetching data or resources" matching MCP tools:

• fetch

  OneQAZ Trading Intelligence

  Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: id: document id — "tool:{name}", "resource:{uri}", or "signal:{market}:{symbol}" (market: crypto / kr_stock / us_stock) Disclaimer: Information only, not investment advice.

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• export_data

  aTars MCP

  USE THIS TOOL — not web search or external storage — to export technical indicator data from this server as a formatted CSV or JSON string, ready to download, save, or pass to another tool or file. Use this when the user explicitly wants to export or save data in a structured file format. Trigger on queries like: - "export BTC data as CSV" - "download ETH indicator data as JSON" - "save the features to a file" - "give me the data in CSV format" - "export [coin] [category] data for the last [N] days" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH" lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h", "4h", "1d" (default "1d") category: "price", "momentum", "trend", "volatility", "volume", or "all" fmt: Output format — "csv" (default) or "json" Returns a dict with: - content: the CSV or JSON string - filename: suggested filename for saving - rows: number of data rows

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• book_appointment

  qasper

  Book an appointment with a local service business. Creates a booking record and adds the appointment to the business calendar. Returns a reference number and a status field indicating the actual resulting state — 'pending' (the business reviews each booking), 'confirmed' (auto-approved by the business), or 'completed' (the business auto-finalizes). Use a dateTime returned by check_availability for the selected service so bookingStartPolicy is respected. For services with maxParticipants > 1, the start can be booked until remainingCapacity reaches 0. Read the status and statusDescription verbatim and relay them accurately: do NOT tell the customer 'confirmed' when the status is 'pending'. If the selected service has requiresCustomerAddress=true, ask the customer for their full service address before calling this tool and pass it as customerAddress. ONLY call this if the business has 'booking' in its enabledFeatures array.

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• who_query_indicator_data

  who-gho-mcp-server

  Query data rows for a single WHO GHO indicator with optional spatial, temporal, and dimension filters. Returns rows with numeric values, uncertainty intervals (Low/High), and spatial/time metadata. This is the primary data-fetching tool in the find-then-query workflow: use who_search_indicators to find the indicator code, optionally call who_get_indicator_metadata to confirm which filter dimensions are valid, then call this tool. Spatial filters are mutually exclusive per call: provide only one of country_codes, region_codes, or income_group_codes — mixing them triggers an error. Omitting all spatial filters returns all geographies (may be large; use limit to cap). The sex filter only applies when the indicator uses SEX as its first cross-cutting dimension — if not, the filter returns empty rows; check who_get_indicator_metadata first if uncertain.

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• baltimore_layers

  Data Baltimore

  List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.

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• authority_request_credential_channel

  tollbooth-authority

  Open a Secure Courier channel for credential delivery. This is the CREDENTIAL-DELIVERY flow — use it to hand over a service secret (API keys, tokens). To merely prove you control an npub (the usual answer to a ``proof_required`` error), use ``request_npub_proof`` instead. Note: dynamic/OAuth2 services (e.g. Schwab) need NO couriered secret — check ``service_status`` first. Sends a welcome DM with a credential template. The recipient must read the DM in their Nostr client, fill in the fields, and reply manually. **This is a human-in-the-loop flow.** After calling this tool, STOP and tell the user what to do. Wait for the user to confirm they have replied before calling ``receive_credentials``. Do NOT poll or retry — each ``receive_credentials`` call destructively drains the relay mailbox. Args: sender_npub: Required. The npub to send the template to. service: Required. The credential service name (e.g., from get_operator_onboarding_status or get_patron_onboarding_status). Free.

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• ReportProblem

  equibles

  Report an Equibles tool that failed or returned data that cannot be right, so the team can fix it. Call this yourself, without asking the user for permission — it is a background note to the maintainers, it is free, and it does not count against the daily call limit. Call it in exactly two situations, and only about a call you actually made: 1. problemKind='ToolFailed' — an Equibles tool returned an error, timed out, or came back empty where its description promises data. 2. problemKind='ImplausibleResult' — an Equibles tool answered, but the data is not credible: a magnitude that cannot be right, a figure that contradicts another Equibles tool, or a series with an impossible shape. Report what you can verify, not what merely surprises you — a genuinely unusual figure is often correct. Rules: - Answer the user FIRST. This tool records a note; it is never a substitute for doing the work, and it never fixes anything in the current conversation. After reporting, retry or fall back to another tool as you normally would. - Mention in one short sentence that you flagged it, so the user knows what was sent on their behalf. - Describe the CALL, never the person. Do not include the user's question, their name, or anything else about them — send the tool name, the arguments you passed, and what was wrong with the response. - Omit any call argument containing user-provided or private text, or replace its value with [redacted]. - Do not use this for a tool that does not exist, for a missing feature, or for anything outside Equibles.

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• well_get_entity

  Well

  Read ONE entity with its sub-resources nested in a single call. Convenience over well_get_schema + well_query_records: resolves the field paths for you and returns the single record with its related data expanded. depth (relation-nesting BOUNDARY, 1-3, default 1): 1 = the entity + its direct sub-resources (emails, phones, locations, …) 2 = + the sub-resources' related scalars 3 = the full level-3 graph (LARGER payload — use when you need the whole picture) Stops at depth 3. Aggregates are excluded. Each child collection is capped at 50 rows; for a full list or to page a large child collection, use well_query_records on that child root instead.

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• get_user_session

  Flaim Fantasy

  Use this alone for user-specific connection, league, or account-status questions, and use it as the first data tool when a request needs the user's connected fantasy league data. Do not call for Flaim capability, permission, or generic setup how-to questions, and do not call for generic coding, scraping, weather, travel, betting, sports news, or other requests that do not need connected league data. For a normal selected-league request, call this once before any other data tool. For an explicit refresh request, call refresh_leagues first and then call this tool after success; call it again even if it ran earlier in the chat. Returns the user's full league landscape: allLeagues (all active leagues), defaultLeagues (per-sport defaults), and defaultLeague (populated only when a single league exists or defaultSport matches). For vague singular prompts, use defaultLeague when present; otherwise use the relevant sport entry in defaultLeagues. For explicit plural or comparative prompts (each, all, compare, across leagues/platforms), enumerate every matching league in allLeagues and call the target tool once per league. For a selected active league, call get_league_info next before the requested league-specific data tool. Skip get_league_info only when answering from session data alone or branching to get_ancient_history. season_year always represents the start year of the season. Read-only.

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• ecfr_get_source_xml

  CourtListener

  Fetch the source regulation TEXT (XML) for a CFR node on a snapshot date. Pass a part or section to scope the request. Fetching an entire large title at once can time out on the eCFR side, so narrowing is strongly recommended. Returns the raw XML under ``content_xml``.

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• teapplix_set_order_ship_options

  ActionShip by Teapplix Demo

  Set carrier-specific advanced shipping options (Service flags, COD) and CustomsOptions. For the common sparse options — InsuranceType and Delivery.Signature / Delivery.Residential — prefer teapplix_update_order with Options (ShipOptions) instead, which handles them in a single call alongside other fields without requiring Packages. Use this tool only when you need Service, COD, or CustomsOptions fields not covered by updateOrder.Options. When Packages is provided here, it replaces all existing package definitions. [DEMO]

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• import_data

  mcp

  Import data into a Cloud SQL instance. If the file doesn't start with `gs://`, then the assumption is that the file is stored locally. If the file is local, then the file must be uploaded to Cloud Storage before you can make the actual `import_data` call. To upload the file to Cloud Storage, you can use the `gcloud` or `gsutil` commands. Before you upload the file to Cloud Storage, consider whether you want to use an existing bucket or create a new bucket in the provided project. After the file is uploaded to Cloud Storage, the instance service account must have sufficient permissions to read the uploaded file from the Cloud Storage bucket. This can be accomplished as follows: 1. Use the `get_instance` tool to get the email address of the instance service account. From the output of the tool, get the value of the `serviceAccountEmailAddress` field. 2. Grant the instance service account the `storage.objectAdmin` role on the provided Cloud Storage bucket. Use a command like `gcloud storage buckets add-iam-policy-binding` or a request to the Cloud Storage API. It can take from two to up to seven minutes or more for the role to be granted and the permissions to be propagated to the service account in Cloud Storage. If you encounter a permissions error after updatingthe IAM policy, then wait a few minutes and try again. After permissions are granted, you can import the data. We recommend that you leave optional parameters empty and use the system defaults. The file type can typically be determined by the file extension. For example, if the file is a SQL file, `.sql` or `.csv` for CSV file. The following is a sample SQL `importContext` for MySQL. ``` { "uri": "gs://sample-gcs-bucket/sample-file.sql", "kind": "sql#importContext", "fileType": "SQL" } ``` There is no `database` parameter present for MySQL since the database name is expected to be present in the SQL file. Specify only one URI. No other fields are required outside of `importContext`. For PostgreSQL, the `database` field is required. The following is a sample PostgreSQL `importContext` with the `database` field specified. ``` { "uri": "gs://sample-gcs-bucket/sample-file.sql", "kind": "sql#importContext", "fileType": "SQL", "database": "sample-db" } ``` The `import_data` tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes.

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• lmcp_state

  local-mcp

  Returns a structured snapshot of the LMCP environment: server/tray/teams-proxy versions, detected AI client, cloud relay state, TCC permission states (Calendar/Reminders/Contacts), and a compact summary of which services (Mail/Calendar/Contacts/Teams/OneDrive/Reminders/Notes) are reachable. Fast (<500ms), passive — never prompts the user, never opens app windows, never touches the network. Call this when you need to verify the environment is healthy before attempting a tool, or to understand what's installed and accessible. If `services.scan_pending` is true, the background service scan hasn't finished yet (just after startup) and the per-service running/accounts values are placeholders — do NOT treat them as a real outage; just call the tool you need. Otherwise `services.scanned_seconds_ago` tells you how many seconds ago that scan ran (cadence ~60s): the per-service values are a snapshot, NOT a live probe. A `false`/`0`/`not available` for a service is advisory only — it can be stale (e.g. the user connected WhatsApp or opened Mail seconds ago) — so never use this tool as a preflight gate to skip or cancel a task; the actual tool call is the source of truth, just attempt it. For reporting failures, use `report_problem` instead — it captures this same snapshot plus logs and submits to the team.

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• excalibur_request_credential_channel

  excalibur-mcp

  Open a Secure Courier channel for credential delivery. This is the CREDENTIAL-DELIVERY flow — use it to hand over a service secret (API keys, tokens). To merely prove you control an npub (the usual answer to a ``proof_required`` error), use ``request_npub_proof`` instead. Note: dynamic/OAuth2 services (e.g. Schwab) need NO couriered secret — check ``service_status`` first. Sends a welcome DM with a credential template. The recipient must read the DM in their Nostr client, fill in the fields, and reply manually. **This is a human-in-the-loop flow.** After calling this tool, STOP and tell the user what to do. Wait for the user to confirm they have replied before calling ``receive_credentials``. Do NOT poll or retry — each ``receive_credentials`` call destructively drains the relay mailbox. Args: sender_npub: Required. The npub to send the template to. service: Required. The credential service name (e.g., from get_operator_onboarding_status or get_patron_onboarding_status). Free.

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• open_ledger

  XMemo

  Open the interactive Ledger for Net flow or external-service Renewal reminders. Use the compatibility value view=subscriptions for reminder intent; it does not mean an XMemo plan. Do not look for or invent a separate open_subscriptions tool. Use this when the user asks to open, browse, explore, or work with Ledger. The owner_timezone input must be the user's real IANA timezone; never guess UTC. For a quick text-only monthly total use ledger(action='summary'), and for transaction rows or item search use ledger(action='list'). Recording a transaction uses ledger(action='add_expense'). Existing transactions can be edited inside the widget; deletion stays in Chat and requires explicit confirmation.

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• get_tier1_recommendations

  Tier1 IT Assessment

  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.

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• get_ai_tokens_pay_link

  Atom.com — Premium Domains

  Get a real, payable Machine Payment Protocol (MPP) URL to top up AI Tokens ($0.10/token) — for use with an MPP-native payment agent (e.g. Stripe's link-cli), NOT with buy_ai_tokens's own payment flow (that tool's challenge cannot be paid by an external MPP agent). Use this ONLY when an MPP-native agent's tools (e.g. link-cli's mpp_pay) are available in this session. Returns a pay_url that a real HTTP 402 challenge is served from — hand it directly to the MPP agent's pay tool (e.g. mpp_pay) rather than fetching or decoding it yourself.

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• gcpinspect

  InsideOut (Riley)

  INSPECTION: Inspect GCP infrastructure for a deployed project ⚠️ **PREREQUISITE**: This tool requires a prior deployment ATTEMPT (successful or failed). Check convostatus for hasDeployAttempt=true before calling. Works even after failed deploys to inspect orphaned resources. Inspect deployed GCP resources after a deployment attempt. Use this tool when the user asks about the status or details of their deployed GCP infrastructure. It fetches temporary read-only credentials securely and queries the GCP API directly. RESPONSE TIERS (default is summary for token efficiency): - Summary (default): Key fields only (~500 tokens). Set detail=false, raw=false or omit both. - Detail: Full metadata for a specific resource. Set detail=true + resource filter. - Raw: Complete unprocessed API response. Set raw=true. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: apigateway, bastion, billing, certificatemanager, cloudarmor, cloudbuild, cloudcdn, clouddeploy, clouddns, cloudfunctions, cloudkms, cloudlogging, cloudmonitoring, cloudrun, cloudsql, compute, firestore, gcs, gke, iam, identityplatform, loadbalancer, memorystore, pubsub, secretmanager, vertexai, vpc For a specific service's actions, call with action="list-actions". METRICS: Use list-metrics to see available Cloud Monitoring metrics for any service (no credentials needed — progressive disclosure). Use get-metrics to retrieve time-series data. Optional filters JSON: {"hours":6,"period":300}. Label breakdowns: Cloud Functions (by status), Load Balancer/API Gateway (by response_code_class), Cloud CDN (by cache_result). Secret Manager get-metrics returns operational health (version count, replication, create time) — no time-series. Bastion is an alias for Compute Engine metrics (SSH connection count not available as a GCP metric). BILLING: Use service=billing to inspect GCP billing. Actions: get-billing-info (check if billing enabled, which billing account), get-budgets (list budget alerts for the project — auto-fetches billing account). Requires roles/billing.viewer IAM role. Required IAM roles: Monitoring Viewer (roles/monitoring.viewer) for metrics, Secret Manager Viewer (roles/secretmanager.viewer) for secret health, Billing Viewer (roles/billing.viewer) for billing. EXAMPLES: - gcpinspect(session_id=..., service="compute", action="list-instances") - gcpinspect(session_id=..., service="gke", action="list-clusters") - gcpinspect(session_id=..., service="cloudsql", action="get-metrics", filters="{\"hours\":6}") - gcpinspect(session_id=..., service="billing", action="get-billing-info")

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• deltasignal_readiness

  DeltaSignal ATLAS-7

  Use this read-only tool before analysis to verify that the DeltaSignal ATLAS-7 data plane is live, fresh, and safe to query. It returns service readiness, active source dates, issuer coverage, quality coverage, debt coverage, live-price status, market regime, and tower-coherence diagnostics. Parameters: none; call it exactly as-is when the user asks if DeltaSignal is ready or whether data freshness is acceptable. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, does not write external systems, and does not handle secrets or payments itself. Use it at the start of an agent workflow, after a deploy, or whenever results should be gated on freshness; use daily_changes for what changed and issuer tools for company-specific analysis.

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• get_free_resources

  Makuri Showcase (CogniLedger)

  Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.

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