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510,634 tools. Updated 2026-09-04 09:22

"Connecting Feishu (Lark)" matching MCP tools:

  • 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
  • Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.
    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
  • Log a grammar mistake the user just made in the target language, creating a grammar point in their Minddory deck. Use it proactively whenever the user writes a target-language sentence with a clear, correctable error (wrong tense, agreement, word_choice, word_order, missing or wrong article, preposition, gender, conjugation, spelling, pluralization). By connecting Minddory the user opted IN to automatic capture, so log it as you go - do not ask permission first or turn it into a yes/no question. The user connected Minddory to catch and review these patterns; you do not need to announce each log. Pass the original text + correction + error_type. Multiple mistakes in one message = multiple calls. VARIANT RULE: Always pass the user's full BCP-47 variant in the lang field (e.g. en-gb, not en) - get it from get_system_instructions on first turn. Before logging, check that the "error" is not actually a valid regional variant form (US past-simple vs UK present-perfect with "just/already", US "in the hospital" vs UK "in hospital", US "color" vs UK "colour", BR gerund vs PT "a + infinitive", etc.). When the variant is unspecified (base ISO only), treat ALL regional forms as valid. Better to skip a borderline call than to mark a valid variant form as wrong. error_type must be one of: tense, agreement, word_choice, word_order, article, preposition, spelling, pluralization, conjugation, gender, other. Feeds the user's Grammar Patterns view at app.minddory.com/grammar.
    Connector
  • Recommend dark-sky sites near a location, ranked by whether the drive is worth it. Use for "where should I drive to stargaze near X". Sites are grouped by drivability (how far), then ranked by a drive-worth score combining the best weather window over the next 7 nights, how much darker the site is than the user's location, and drive time. Drive times are approximate (straight-line x 1.3), not routed. Args: lat: Latitude in decimal degrees (-90..90). lon: Longitude in decimal degrees (-180..180). limit: Max sites to return, 1-12 (default 5). Returns {ranking (methodology note), tiers:[{tier, label, hint, sites:[...]}], nearest_km, uncertainty_note, attribution} — sites grouped into drivability tiers. Include the methodology note when presenting — it explains the ordering honestly.
    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

  • A
    license
    Not graded
    quality
    D
    maintenance
    This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark. The tool encapsulates Feishu/Lark Open Platform API interfaces as MCP tools, allowing AI assistants to directly call these interfaces and implement various automation scenarios such as document processing, conversation management, calendar scheduling, and more.
    8,845
    MIT

Matching MCP Connectors

  • DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

  • Ask Greenhouse the messy recruiting-ops questions dashboards miss by connecting candidates, applications, jobs, openings, stages, scorecards, interviews, notes, sources, referrers, offers, users, departments, and rejection details. Find referral SLA misses, feedback debt by interviewer and hiring team, stage-age outliers by owner, funnel leakage by recruiter/source/function, opening fill-risk from headcount vs active pipeline, offer-draft hygiene gaps, rejection-reason drift, and the bottleneck

  • Get the wiring instructions for connecting an MCP client to ~alter. The name is historical and this recommends nothing: it hands back connection details, not a suggested tool. Use it when adding ~alter to a new MCP client, or when passing the endpoint to another agent so it can connect for itself. Returns the MCP endpoint URL, a ready-to-paste JSON configuration snippet, and how many tools are callable at each tier. Takes no parameters and reads no member data. Free L0, no authentication required.
    Connector
  • Use this when a user wants to see what Influship can return before linking an account. Fetches one configured sample creator with social profile context. This is a preview tool and should not be used for search, discovery, matching, or comparison requests. After showing the preview, explain only that live creator discovery and comparison require connecting an existing Influship account. Do not discuss plans, pricing, credits, upgrades, or purchasing.
    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
  • List the connectors a workspace can install AND everything it has already connected, each with a one-click install deep link. ONE tool answers both halves of the connect question — "what can I connect to Well?" and "what is connected, still syncing, or broken?" — because every existing connection is overlaid onto its catalog row. Do NOT read workspace_connectors records to work out connection coverage; this tool is that answer. Each entry has: - service_id: the connector's stable catalog id (e.g. "stripe"), used in the install link. - name, category_id, direction: what the connector is. - data_domains: the financial domains it serves — any of "bank", "accounting", "invoicing" — or null for a non-financial connector. One connector can serve several domains (Qonto serves all three). "bank" here means the connector delivers cash movements, which a payroll or billing platform also does; do NOT read it as "this is a bank". To list banks, pass kind: "bank", which the server scopes on its own bank classification. - status: "available" connectors are connectable now; "coming_soon"/"unavailable"/"maintenance" are not. - is_matched / is_selected: whether this workspace's detected tools matched this connector / already picked it. - match_score: 0..1 confidence of that match; null when unmatched. A high score is a tool Well is confident the workspace already uses. - is_connected: this workspace has a connection you should REPAIR or MANAGE, not install fresh. True for "enabled", "processing", "error", "need_reconnect" and "suspended"; false for "to_configure" and "disabled", where a fresh install IS the right next step. - connection_status: the existing connection's state, or null when this workspace has no connection row for the connector at all. One of: - "enabled" — connected and syncing. - "processing" — the grant is in and the FIRST sync is still running; data may be partial. Connected: do NOT ask the user to connect it again. - "error" — authenticated but its last real sync failed. Offer install_url as a reconnect. - "need_reconnect" — the grant is dead and only the user can restore it. Offer install_url as a reconnect, NOT a first install. - "suspended" — the connection is held back administratively; tell the user it is paused. The user cannot fix it by reconnecting. - "to_configure" — a connect attempt that never completed its handshake. Nothing is connected: offer install_url as a first install, and never claim the tool is connected. - "disabled" — the connection was torn down. Offer install_url as a first install. A "degraded" connector never appears: it is resolved server-side against its own sync history into "enabled" or "error", so you never surface a state that clears itself. A connection whose state this build cannot read also reports null, and there is_connected stays true — read the two fields together, and treat "null status, is_connected true" as an existing connection whose health is unknown. - workspace_connector_id: the connection instance's id, or null when there is no connection row. This is the id well_invoke_connector_tool and well_list_connector_tools need — resolve it HERE, never via well_query_records on workspace_connectors. - last_successful_sync_at: ISO timestamp of the last SUCCESSFUL sync, or null when none has landed yet. An "enabled" connector with null here has a valid grant but has never delivered data. - sync_in_progress: a data sync is running right now. Tell the user to wait rather than to act. - is_preselected: Well recommends connecting this one now (a high-confidence match with is_connected false). The interactive picker pre-checks exactly these. A "to_configure" or "disabled" row can still be pre-checked — installing it IS the fix. On kind: "accounting" at most ONE row carries it — the single highest-confidence accounting tool — because connecting the accounting software is a pick-one step; every other scope pre-checks each high-confidence match. - install_url: a one-click link that STARTS or REPAIRS the connection in Well. It works from any state — it signs the user in if needed, creates their workspace if they have none, then runs the connector's own auth flow — and it covers banks too (a bank opens its bank-login flow pre-selected). Null only when the connector is not "available". Hand this to the user to get started in one click. install_all_url is a TOP-LEVEL field, not a per-connector one. It is ONE link that installs every installable connector in this result that is not already connected, in the order they are listed. Its reach is wider than the per-row links: a connector the catalog holds by service id alone carries a null install_url and is still installed by this link, so never read a null install_url as "cannot be installed". When the answer offers several connectors to install, hand the user install_all_url and do NOT list the per-connector install_url links beside it — the one link IS the whole offer, and a table of links beside it puts the reader back through several sign-ins. One link carries at most 10 connectors, and install_all_omitted names the service ids it left out, so offer those rows their own install_url. install_all_url is null when the result offers nothing to install. It is null too wherever the result names no set the user has chosen: the unfiltered catalog and the whole bank domain never carry the link, and a name search or an accounting or invoicing domain carries it only while the WHOLE result fits in one link and this page holds all of it — past that the link would stand for whichever rows the page happened to carry. from_selection always carries the link, however many vendors were picked, because the user named each one. Where install_all_url is null, the rows' own install_url links ARE the offer: list them, and never announce a batch link the result does not carry. Scoping: pass kind ("bank" | "accounting" | "invoicing") to get only the connectors serving that domain — the whole set, server-ordered, including the long tail of bank institutions. Pass q to name-search the full catalog. Omit all three for the curated, matched-first view. Use well_list_connector_tools for a live connection's actions. Pass from_selection: true for the connect step that FOLLOWS a vendor pick: it returns ONLY the connectors behind the counterparties the user picked on the missing-invoices card this session, every installable one pre-checked, because the user already chose them. It takes no q and no kind — those browse a catalog, and this names a set already decided. An empty list means the session holds no pick for this workspace, or no picked counterparty matched a connector. Every result carries scope — "catalog", one of the three domains, or "picked_vendors" — naming what the list IS. The card words its title from that field, so a caller must not describe the result as a domain the scope does not name.
    Connector
  • Use this when a user wants to see what Influship can return before linking an account. Fetches one configured sample creator with social profile context. This is a preview tool and should not be used for search, discovery, matching, or comparison requests. After showing the preview, explain only that live creator discovery and comparison require connecting an existing Influship account. Do not discuss plans, pricing, credits, upgrades, or purchasing.
    Connector
  • Create a secure payment link for a VIP Meet & Greet booking, with optional transfer combo. Available locations: CDG, Orly, Gare de Lyon — Meet & Greet is NO LONGER offered at Gare du Nord (do not quote or book it there). M&G prices are FIXED (CDG/Orly 250€ base for 2 pax + 50€/extra, Gare de Lyon 350€ + 75€/extra) — do NOT call get_quote for the M&G part. A connection (service_type='connection': arrival flight → connecting departure flight with fast-track between terminals) is billed as TWO M&G services = the location price ×2 (e.g. CDG 2 pax = 500€). For a combo with a transfer (e.g. CDG M&G + transfer to a hotel), call get_quote first for the transfer leg and pass the resulting quote_id + vehicle_id in `transfer`. If lead time is below the minimum (12h before pickup), returns LEAD_TIME_TOO_SHORT — the caller must fall back to manual notification instead of retrying. lead_time_override=true bypasses the 12h minimum ONLY after Sylvain has explicitly confirmed greeter availability for this exact request (WhatsApp admin approval 'mg ok'); never set it on your own initiative. A 90-minute floor always applies. If flight cannot be validated, returns FLIGHT_NOT_FOUND — ask the customer to re-confirm the flight number, or set flight_unverified=true with manual_airline + manual_origin to force-accept.
    Connector
  • List the sites this caller can analyze, in two groups. my_sites = the sites connected to the signed-in account (each with its display name + domain, so you can match phrases like "the production site" or "revenuescope.jp" without the user pasting a UUID); empty when the caller is not signed in. demo_sites = ready-made sample sites for trying RevenueScope before connecting your own — each is a fictional site with sample data, not a real customer. When signed in (OAuth), prefer my_sites and, if site_id is omitted, default analytics tools to the is_primary=true site. When NOT signed in, my_sites is empty: use a demo_sites site_id and tell the user the numbers come from a sample site, not their own.
    Connector
  • Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.
    Connector
  • Scan a public GitHub MCP-server repository for security issues. Clones the repo (shallow, <60s, <200 MB), runs compuute-scan v0.6.2 in static analysis mode (no code execution from the target), and returns a structured report with severity counts, a 0-100 score, and the 10 most severe findings. WHEN TO USE: - Before connecting to an unknown MCP server discovered via Anthropic Registry, Smithery, mcp.so, or a Discord recommendation. - Before installing a third-party MCP-server package into a production pipeline. - As part of an agent's pre-commit / pre-deploy due-diligence step when adding new dependencies. - As one input to a multi-source trust evaluation (combine with publisher reputation, package install count, last-update recency). WHEN NOT TO USE: - For private repos. Use the on-prem CLI instead: `npx compuute-scan ./path-to-private-repo` - For deep exploitability assessment of a specific code path. This is pattern matching, not dataflow analysis. Book a manual L2-L4 audit at https://compuute.se/audit for that depth. - For non-GitHub hosts (GitLab, Bitbucket, self-hosted). v1 supports github.com only. - For repos > 200 MB or clone time > 60s. The endpoint returns a 413 or 504 in those cases — fall back to local CLI. EXPECTED RESPONSE TIME: - Median: ~1-2 seconds for small repos (<100 files). - p99: ~10 seconds for medium repos. - Hard timeout at clone=60s, scan=120s combined. EXPECTED COST: - Free tier in MVP. Future Pro tier may charge per-scan or per-month. DATA FRESHNESS: - Scanner version is reported in response.scanner.version. - L1 rule set freshness reflects compuute-scan releases — see github.com/Compuute/compuute-scan/CHANGELOG.md for the latest CVE and threat-intel response timeline. EXAMPLES: Example 1 — scan an MCP server you're evaluating: github_url = "https://github.com/modelcontextprotocol/servers" → score: 0, summary: {critical: 1, high: 94, medium: 22} → top_findings include SSRF, eval, etc. → recommendation: "AVOID — 1 critical and 94 high finding(s)..." Example 2 — scan a clean reference implementation: github_url = "https://github.com/microsoft/azure-devops-mcp" → score: 90+, summary: {critical: 0, high: 1} → recommendation: "REVIEW — 1 high finding(s)..." Example 3 — scan your own dev MCP-server before publishing: github_url = "https://github.com/yourorg/your-mcp" → audit your own surface before others install it OUTPUT FIELDS (stable schema): - repo_url (str): canonical URL of the scanned repo. - score (int): 0-100, higher safer. Coarse summary, not a precision claim. - summary (object): {critical, high, medium, low, info, files_scanned}. - recommendation (str): action guidance derived from severity counts. - findings_count (int): total raw findings (may include false positives). - top_findings (list): up to 10 most severe, each with {id, title, severity, file, line, owasp, cwe}. - l0_discovery (object): MCP transport, tool count, dependency pinning. - performance (object): clone_seconds, scan_seconds, repo_size_bytes. - scanner (object): {name, version, layers_covered}. - _disclaimer (str): MANDATORY triage disclaimer. Read it. Args: github_url: Public GitHub HTTPS URL (e.g. https://github.com/org/repo). Must be public and < 200 MB. v1 is github.com only. Returns: Structured scan result. On error, returns {"error": code, "message": ...} with HTTP-style code (invalid_url, clone_failed, scan_timeout, etc.).
    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
  • 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
  • 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
  • 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
  • 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