306,474 tools. Last updated 2026-07-25 10:38
"ANA" matching MCP tools:
- Autonomous, no-browser FIAT payment for a locked quote using a Stripe Shared Payment Token (SPT / Machine Payments Protocol). Use this when the agent can mint an SPT on the buyer's behalf and wants to pay by card/wallet without a human in a browser (prefer x402 first if the agent has a USDC-on-Base wallet; this is the autonomous fiat alternative). CHARGES MONEY AND IS IRREVERSIBLE: the server authorizes the SPT, prints the letter, then captures — a job comes back inline (no polling needed). Only call after the user has explicitly confirmed the recipient, sender, content, and price from create_mail_quote. Minting the token (the agent's responsibility, NOT this server): the SPT must be scoped to THIS seller's Stripe profile and to at least the quote amount. The quote's `paymentOptions` entry for `mpp` carries the `stripeProfileId`, `currency`, `maxAmountCents`, and `expiresAt` you need. Mint it with the buyer's payment method via the Stripe `@stripe/link-cli` (`spend-request create … --network-id <stripeProfileId> --credential-type shared_payment_token`) or the SharedPaymentIssuedToken API, then pass the resulting `spt_…` here. SPTs are US-only and cards carry a 0.50 USD minimum. Returns an error if MPP is not enabled/configured on the server.Connector
- Standalone paid address verification — no mail is sent. Checks whether an address is deliverable and returns the standardized form (US: CASS with ZIP+4; international: per-country matching). Costs a small flat USDC fee per call via x402 (a fraction of a cent vs. mailing). Two-step flow, like the mail rails: call WITHOUT `paymentSignature` to get the 402 challenge and `paymentUrl` (preferred: have the agent's x402 wallet pay `paymentUrl` in-band with the address as the JSON POST body `{"address":{...}}`); or sign the challenge and call again WITH `paymentSignature` to verify and get the result in one round trip. US addresses need line1 + (city+state or zip). International addresses need line1 + country. Note: when mailing through PostAgent you do NOT need this tool — create_mail_quote already verifies sender and recipient for free as part of the quote.Connector
- "Is it true that…" / "fact check" / "verify the claim that…" / "did X really…" / "was Y actually…" / "confirm or refute" / "true or false" — natural-language claim verification against authoritative sources. Use whenever the agent needs to check whether something a user said is factually correct. Company-financial claims (revenue, net income, cash for public US companies) verify via the structured SEC EDGAR + XBRL fast path with exact percent-delta math; ANY OTHER factual claim (macro statistics, rates, prices, drug data, records) automatically falls through to the grounded pipeline — routed to the right live source, answered with verbatim evidence, then judged. Returns a verdict (confirmed / approximately_correct / refuted / inconclusive / unsupported), the grounded or structured actual value with pipeworx:// citation, and reasoning. Replaces 4–6 sequential calls (NL parsing → entity resolution → data lookup → comparison).Connector
- Return fixture-backed product-page handoff details for one lens, including DynamoDB-sourced optical specs and gated datasheet policy. Product-page/catalog optical fields are not a substitute for sensor-specific FoV; call calculate_field_of_view for the lens/sensor pair. FoV rule: never estimate sensor-specific FoV from catalog fields; use calculate_field_of_view or match_lens_to_sensor. Use read_shopify_products for live product URL, price, availability, variant IDs, and metafields.Connector
- Get historical daily AI analyst summaries — query by date or by analyst+days (max 90 days; use analyst_daily_summary for today's data) — Returns a paginated history of daily AI analyst summaries. Query by specific date (?date=YYYY-MM-DD) to see all analyst summaries for one day, or by analystId (?analystId=chain_hawk&days=30) to get the last N days for one analyst. Maximum 90 days. Only shortSummary is returned (full commentary is Pro-only). Fields per record: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, summaryAr, summaryHi, summaryZh, summaryRu, signalCount, confluenceScore, fearGreedScore, btcTrend. No auth required. 60 req/min.Connector
- Searches the available bank connectors by name (pass keywords[], e.g. ['nubank','btg']) and returns, per match: the connector id, whether it's Open Finance or API (`access`), PF/PJ (`audience`), the user's already-linked connections (and accounts when include_accounts=true), and a ready `connect_url` with the bank pre-selected. Some non-Open-Finance credential connectors carry a `caveat` warning that they don't auto-update (needs periodic manual reconnection) — surface it so the user can prefer the institution's Open Finance connector for automation. Honors the user's plan (a PF plan hides PJ banks; a PJ plan covers BOTH — PF and PJ banks connect and count under the same plan). Call this BEFORE connecting to hand the user a one-click link to the right bank. keywords[] is REQUIRED — without it returns a hint (never dumps the whole catalog).Connector
Matching MCP Servers
- AlicenseAqualityAmaintenanceInstitutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).Last updated691MIT

Anam MCP Serverofficial
AlicenseBqualityFmaintenanceEnables managing AI personas, avatars, voices, and sessions from any MCP client, for integration with Anam AI.Last updated5429MIT
Matching MCP Connectors
Romania e-Factura invoices for AI agents: build UBL 2.1 CIUS-RO, upload to ANAF/SPV, query.
Hosted MCP server for live sports data — scores, analytics, schedules, standings, multi-book odds, team form, head-to-head, model predictions, and pre-generated matchup analysis across 1,000+ leagues in 150+ countries. Free tier, no card.
- Returns transactions for a bank account (BANK or CREDIT type). For CREDIT (credit card) accounts, this is the ONLY way to get itemized transactions (purchases, subscriptions, etc.). Each credit card transaction MAY carry `creditCardMetadata.billId` pointing at a bill from openfinance_list_credit_card_bills, but this is a per-connector HINT, not authoritative: some connectors (e.g. Nubank) populate it sparsely (many transactions and installments arrive with no billId) or inconsistently (the same payment tagged to more than one bill). Do NOT reconstruct a bill's total by summing transactions by billId — the bill's own `totalAmount` from openfinance_list_credit_card_bills is the source of truth. CREDIT PENDING vs POSTED varies by connector: where the bank exposes future-dated `status:'PENDING'` installments, those represent the OPEN bill plus future bills (future months); where it does NOT, only the last closed bill's POSTED items appear until ~closing. Same query, different coverage per bank (upstream). To get a standardized open-bill total / total debt regardless, use openfinance_list_credit_card_bills (`open_bill` / `total_pending_debt`). Supports from/to date filters (ISO YYYY-MM-DD) and an optional keyword filter via `search_queries` (case- and accent-insensitive substring match against description and merchant name, OR semantics across multiple terms). When `search_queries` is set the tool aggregates up to 5000 transactions within from/to before filtering — narrow from/to if `truncated:true` is returned. PAGINATION: OMIT `page` (the default) to get ALL transactions in the from/to range in one call — the tool auto-paginates the upstream and returns them under a single logical page (`page:1`, `totalPages:1`), up to a 5000 ceiling (`truncated:true` + warning if exceeded, then narrow from/to). Pass an explicit `page` (with `page_size`, max 500) only if you want to walk pages manually instead. On upstream errors, returns { total:0, results:[], warning, error } instead of throwing. `detail` controls how much per-row data you get (default `'compact'` = slim, cheap). Use `detail:'rich'` to enrich each row (when the bank connector provides it) with `merchantInfo` (estabelecimento: businessName/razão social, cnpj, cnae, category — useful for auto-classifying spending) and extra `creditCardMetadata` fields: `billId` (a per-connector HINT toward the transaction's bill — sparse/inconsistent on some connectors like Nubank, so do NOT sum by it to get a bill total; use the bill's `totalAmount` instead), `purchaseDate`, `payeeMCC`, `feeType`/`feeTypeAdditionalInfo`, `otherCreditsType`/`otherCreditsAdditionalInfo`. Use `detail:'raw'` to get the FULL untouched Pluggy transaction object (everything Pluggy returns, un-normalized — heaviest, for when you need a field we don't project). 'rich'/'raw' add tokens per row and coverage varies by bank/Open Finance, so keep the default for normal listings. For the card's statement closing/due dates use openfinance_list_accounts (`creditData.balanceCloseDate` / `balanceDueDate`). The response opens with an `account` echo block ({ account_id, bank, name, number, type, item_id }) identifying WHICH account/bank these transactions belong to. When more than one bank is connected, ALWAYS cross-check the echo against the account you intended to query and name the bank when presenting results — never attribute one bank's transactions to another. If total is 0 for a CREDIT account, check the connection health via openfinance_get_item_status — `statusDetail.creditCards.isUpdated: false` means the credit card sync failed and a force sync (openfinance_force_sync) or reconnection may be needed. May include a `provider_incident` block when the Open Finance provider has an OPEN incident affecting a connected bank: transactions may come back incomplete or wrong until the provider recovers, and reconnecting does not fix it. Bulk support: accepts account_ids for batched execution.Connector
- Forces the bank to re-sync one or more connections NOW and WAITS for it to finish (PATCH /items/:id, then polls until the item stops updating, up to ~60s). Use this when a balance or transaction list looks stale: a connection can read UPDATED yet be hours old, and this pulls fresh data WITHOUT disconnecting/reconnecting. Pass `items` as an array of selectors (item_id, connector_id, connector_name, or the user-set custom_label nickname); OMIT `items` to sync ALL linked banks. Returns `{ results, errors }`; each result has the final `status`, `executionStatus`, `lastUpdatedAt` (advances when data is refreshed), and `synced` (true = fresh data is ready). `needs_action` (e.g. MFA_REINTERACTION / LOGIN_ERROR / WAITING_USER_INPUT) means the user must re-authenticate — those results include a `reconnect_url` that opens the widget in UPDATE mode for that exact connection (user enters credentials / MFA token, data refreshes in place, no slot consumed, no disconnect needed). `timed_out: true` means the sync is still running — re-check with openfinance_get_item_status. Set `wait: false` for fire-and-forget (returns immediately while UPDATING).Connector
- Get observed water levels from a NOAA tide station as a time series. Choose the interval: "6" = standard 6-minute observations (preliminary or verified, max 31 days per request), "1" = 1-minute preliminary data (max 4 days), "hourly" = verified hourly heights (max 1 year). Heights are relative to the requested datum (MLLW by default — the US nautical chart zero). Returns per record: t (timestamp in requested time zone), v (height), s (sigma), f (quality flags, decoded in output), q (p=preliminary, v=verified). Recent data is preliminary; verification takes days to weeks. Use for: "what is the water level right now" (date=latest), storm surge analysis, comparing observed vs predicted tide. Do NOT use for future tides — use noaa_get_tide_predictions.Connector
- Get observed meteorological/oceanographic sensor data from a NOAA station. Products: air_temperature, water_temperature, wind (speed/gust/direction), air_pressure, air_gap (bridge clearance to water surface), conductivity, visibility, humidity, salinity. Units by system: temps °F/°C; wind knots (english) or m/s (metric); air_gap feet/meters; visibility nautical miles/kilometers; air_pressure always millibars; salinity always PSU. Max span ~31 days per request; interval "6" (6-minute, default) or "h" (hourly). Not every station has every sensor — check with noaa_get_station_info (expand ["sensors"]). Water-level data is served by noaa_get_water_levels, not this tool.Connector
- Check up to 100 NPIs against the current public CMS Medicare Revalidation List. Return every matching enrollment, its established due date or TBD status, current source metadata, explicit submission-status limits, an optional recurring-monitoring handoff, and an Apify-native automation handoff. The free read-only tool cannot open PECOS, submit a revalidation, start a paid run, open checkout, or purchase anything.Connector
- Upload and normalize a FINISHED, ready-to-mail document to PDF. Choose this when the content is final and IDENTICAL for every recipient — including when you mail the same letter to many people (just quote/pay once per recipient with the same documentId). The exact bytes you give are what gets printed. Use create_template instead only when the content must vary per recipient via {{fields}}. Returns a documentId, the stored page count, byte size, and source format. Free; no payment required. Provide the document EXACTLY ONE way: `content` (inline text, for html/markdown/text), `contentBase64` (base64-encoded binary, for pdf/docx/image), or `url` (a publicly reachable URL the server fetches). Supplying none, or more than one, is an error. Maximum upload size is 31457280 bytes (~30 MB); output page size is US Letter. Any `{{...}}` text is printed LITERALLY here — it is NOT treated as a merge field. If you want personalized mail merge across recipients, use `create_template` instead. Reserved address zone: a recipient address block is printed over the top ~3 inches of page 1, so the server reserves that space for you automatically. For text/html/markdown/docx, page-1 content is pushed below the block (content may therefore flow onto an additional page); for pdf and image inputs, a blank first page is prepended. As a result the returned page count — and the selected-provider cost behind the resulting quote — can be higher than your source document (e.g. a single-page PDF is stored as 2 pages). You do NOT need to leave the top of your document blank yourself. See the postagent://formats resource for per-format details.Connector
- Upload a REUSABLE template containing `{{field}}` placeholders (e.g. `Dear {{name}},` or `Balance due: {{amount}}`). Choose this ONLY when the content must vary per recipient (mail merge) — recipient count is irrelevant, so a single personalized letter belongs here too. If the content is identical for everyone, use create_letter instead (this tool rejects input with no `{{fields}}`). Returns a documentId with `kind: "html_template"`, a `mergeFields` list of the detected field names, and an `estimatedPageCount`. Free; no payment required. Template source must be TEXT-BASED (html, markdown, or text) and must contain at least one `{{field}}`, or the upload is rejected — for a finished document with no merge fields, use `create_letter`. Provide the template EXACTLY ONE way: `content` (inline text), `contentBase64` (base64-encoded text), or `url` (a publicly reachable URL the server fetches). Supplying none, or more than one, is an error. Maximum upload size is 31457280 bytes (~30 MB); output page size is US Letter. Reuse one template documentId across recipients: call create_mail_quote ONCE PER RECIPIENT, supplying that recipient's values via `mergeVariables` (every field in `mergeFields` must have a non-empty value). The server substitutes the values and renders that recipient's personalized PDF at quote time, so `estimatedPageCount` is only a baseline — the binding page count and price are set per quote from the actual rendered output. Reserved address zone: a recipient address block is printed over the top ~3 inches of page 1, so the server reserves that space automatically (page-1 content is pushed below the block and may flow onto an additional page). You do NOT need to leave the top blank yourself. See the postagent://formats resource for details.Connector
- ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1350 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 5,132 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri (record-level pipeworx:// when the source emits one, else source-level). "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).Connector
- Get today's AI-generated commentary for all 10 analysts — 2-sentence summaries with signal count, confluence score, BTC trend (generated 9:00 UTC) — Returns today's AI-generated daily commentary for all 10 analyst personas. Summaries are generated each morning at 9:00 UTC using gpt-4o-mini based on the previous 24h of signals, Fear & Greed score, BTC trend, and cross-analyst confluence. Public endpoint — no authentication required. Only shortSummary is returned (2 sentences). Full commentary is available via the authenticated Pro endpoint /api/analysts/:id/daily-summary. Fields per analyst: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, signalCount (signals in the past 24h), confluenceScore (0-100: % of other analysts with overlapping tokens in last 2h), fearGreedScore (0-100), btcTrend ('up'|'down'|'sideways'|null). Cached 30 minutes. Returns empty summaries array before 9:00 UTC on any given day. 60 req/min rate limit.Connector
- Search the Commonlands lens catalog by SKU, mount, lens type, M12, C-mount, or application text. For sensor part numbers such as AR0234, IMX290, and IMX477, or any "lens for <sensor>" request, use match_lens_to_sensor instead — sensor names are not searchable text here. Use this tool for FOV, HFOV, VFOV, DFOV, field of view, "lens for", lens-to-sensor, AR0234, IMX290, IMX477, and sensor part-number requests. It returns Commonlands data the model cannot derive: live backend FoV when configured, distortion model/status, image-circle coverage, live stock through Shopify read tools where applicable, and MTF/CRA/BFL fields if present in upstream catalog data. Do not use naive rectilinear fallback, focal-length-only math, interpolation, or self-computed catalog estimates when a Commonlands lens/sensor route is available. This discovers candidate lenses from Commonlands catalog/live backend data; it does not replace calculate_field_of_view for sensor-specific HFOV/VFOV/DFOV and does not replace read_shopify_products for live stock/price/product truth.Connector
- Get NOAA harmonic tide predictions (future or past) for a station. interval="hilo" (recommended for "when is high/low tide") returns the daily tide events with type H/L — up to 10 years per request. Other intervals (h, 1, 5, 6, 10, 15, 30, 60 minutes) return a height time series — up to 1 year per request. Heights are relative to the requested datum (MLLW default). Notes: - Great Lakes stations have NO tide predictions (lake levels are not tidal). - Subordinate stations (type "S") only support interval=hilo; use the station's reference (R) station for interval series. - Predictions are astronomical only — they exclude weather effects (storm surge, wind setup). Compare with noaa_get_water_levels for actual conditions.Connector
- Get a NOAA station's full metadata record: location, state, time zone, tide type, Great Lakes flag, capability flags, and links to available sub-resources. Optionally expand sub-resources inline via the "expand" list: - details (established/removed dates), sensors (installed instruments + elevations), floodlevels (NOS/NWS minor/moderate/major flood thresholds), benchmarks, products (available data page links), notices, disclaimers — for water-level stations - bins (ADCP depth bins), deployments — for current stations (alphanumeric IDs) Use this before requesting data to confirm what the station actually collects. For datum values use noaa_get_station_datums; for harmonic constituents use noaa_get_harmonic_constituents.Connector
- Get the harmonic constituents NOAA uses to compute tide or current predictions at a station — the amplitude, phase, and angular speed of each tidal constituent (M2, S2, N2, K1, O1, ...). For water-level stations: amplitude (feet/meters), phase_GMT and phase_local (degrees), speed (degrees/hour). For current stations (alphanumeric IDs) constituents are current ellipses (major/minor amplitudes and phases per depth bin — pass bin to filter). Use for: building custom tide computations, checking a station's dominant constituents (M2 amplitude indicates semidiurnal range), verifying whether a station is harmonically predicted at all. Only reference (R) stations have constituents — subordinate stations use offsets (noaa_get_prediction_offsets).Connector
- Creates a Stripe-hosted Checkout page for a locked quote and returns a `checkoutUrl` plus a `statusUrl`. Use this as the LAST-RESORT payment rail, when the payer is a human paying by credit card (the agent cannot complete card entry itself). Hand the `checkoutUrl` to the user to open in a browser and pay; payment is asynchronous — once they finish, the letter is created automatically by Stripe's webhook. To track it without a job id, GET the returned `statusUrl` (`/v1/quotes/:quoteId/job`): it returns `found:false` with status `pending`/`processing` until the webhook creates the job, then the full job (id, status, tracking). Prefer x402 (or MPP, if available) for autonomous agent payment. Returns an error if Stripe Checkout is not enabled on the server. No charge occurs until the human completes the hosted page.Connector