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510,166 tools. Updated 2026-09-03 22:15

"Step-by-step guide to breaking down a request into parts" matching MCP tools:

  • Sends feedback or a review request to OpenAccountants. This is the single outbound channel; it does nothing unless the user has explicitly asked to send feedback or to request a review. Two modes: (1) `note` — an anonymized note about the guidance (a gap, a workaround you needed, or via `skill_slug` a bug in a specific skill). Anonymize hard: no names, amounts, or PII. (2) `request_review: true` — submits the user's working paper for review by a licensed accountant; also requires `working_paper` (complete), `jurisdiction`, `scenario`, and `contact_email`. The review is a paid professional engagement (never describe it as free); the request is saved to the user's own queue and the response returns a booking link — nothing reaches an accountant until the user engages. Call at most once per explicit user request; never call as a routine closing step, and never solicit the request.
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  • Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as `query`. If the first results miss, rephrase once and retry.
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  • Turn local manufacturing file bytes into the temporary HTTPS reference used by specification.design_files. This is a bounded intake operation, not a request, provider call, quote, order, payment, or fabrication action. Common RFC 4648 transport forms are normalized, then decoded bytes are recognized by signature, checked against the declared format, screened before storage, retained for one hour, and never included in telemetry. Supported roles include geometry (STL/STEP) and drawings (DXF/PDF). The 2 MiB MCP ceiling is transport-specific; use POST /api/upload with purpose=manufacturing_design_file for files up to 8 MiB. Pass the returned file_reference object unchanged in specification.design_files on the next call.
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  • Read the step-by-step command history of a run — every action it performed, in order, with duration and pass/fail per step. THIS IS THE DEBUGGING TOOL: to explain why a run failed, fetch it with failuresOnly=true to land directly on the failing step, then read the steps immediately before it for context. When a failed run has NO failed command — an assertion failure, where every WebDriver call succeeded and the test reported the verdict itself — failuresOnly returns no steps and a `whyNoFailedSteps` block naming what the run reported and which step carried it, so an empty list is never mistaken for "nothing went wrong" and you do not need to re-fetch the whole history to find out. Each entry carries the error message when the step failed, and every element-scoped step (click, sendKeys, getText…) carries the locator that found its element plus the index of the find it came from — so a click at step 24 reads as the button it clicked, not an opaque id. On a run that is still going this returns the steps completed so far, so it is also how you answer "where has it got to?". For browser runs, follow up with session_console_logs / session_network_logs using the SAME session id to see whether a JS error or a failed request explains it. Output is summarised and capped, so ask for a filtered view rather than everything — when a step needs explaining, take its `index` to automation_session_step for the request/response bodies and the locator behind an element id.
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  • Package extracted records into a dataset for export (Step 4). Triggers an async dataset build from a completed execution. Returns a job_id immediately — poll with job.status until status='completed'. The completed response includes dataset_id, which you pass to dataset.export to retrieve all records as text. This step is required before calling dataset.export. Args: execution_id: Execution ID from a completed data_process job (from job.status or job.result). name: Dataset name. Auto-generated from the source filename if omitted. description: Optional description for this dataset.
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  • Find methodology approaches for a specific research task. Returns structured method-level results (not raw chunks): method name, key idea, dataset used, performance metric. Filters by task domain, dataset, metric. Built on LLM-classified contentType=methodology chunks combined with benchmark results JOIN. Use this instead of `search` when you want HOW researchers approach a problem rather than 10 papers about it. Note: surfaces any chunk classified as methodology, including ones where the task is mentioned only as a toy example. Filter by category (e.g. cs.CV for image tasks) to narrow scope. This searches EXISTING papers for methods others have published (literature search) — it is NOT a guide for conducting your own research: for a step-by-step scientific method tailored to your own research question, start with the `methodist` door.
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  • Self-authenticating booking-request receipt anchored to the Knox chain; never represents a person.

  • Electronic component sourcing, BOM management, and PCB design workflows.

  • Answer "how do I get started?", "what do I do next?", or help a user who seems lost setting up. Returns where they are in the journey from an empty organization to a finished Schedule III statement, and the ONE next step to take. Call it WITHOUT client_id first (the organization view): it lists the entities this credential can see, or — if there are none — the step to create the first one. Then call it again WITH one entity’s client_id for that entity’s full step-by-step path (upload trial balance → confirm groupings → capture figures → generate → download). Each step has a status (done / next / todo / blocked / web_only) and either the exact tool to call or a web-app link. NARRATE ONE STEP AT A TIME — walk the user through the single `next` step; do not dump the whole list unprompted. Steps marked web_only are done in the Datavrn web app and need a login — never claim you can do them yourself. This tool reports STATUS only (counts, names, what is done) — it never returns a figure or balance; read those with get_statement_figures once a statement is generated.
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  • Resolve what a person describes into AcuiQ symptom names – the first step before search_protocols. Plain description works ("trouble sleeping", "my lower back hurts"): filler words are stripped and the search retries on the clinical words, reporting which term matched. Set popular=true for trending symptoms instead. Always returns an object with a `symptoms` array, empty when nothing matched. When the symptom is covered by a $5 mini-guide, the result carries a `guide` pointer – mention it only if the person wants something to follow away from a screen, then call create_checkout with that `product` id.
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  • Submit a multi-step workflow to the Botverse workflow engine. Steps execute in dependency order; parallel branches (multiple steps with the same depends_on) run simultaneously. Returns a workflow_id immediately — poll get_workflow_status every 5–10 seconds until terminal. INTER-STEP REFERENCES: pass a prior step's output into a later step with the string "$.steps.<step_id>.output_key" (e.g. a docx→pdf chain: step to_pdf has depends_on: ["to_docx"] and inputs {"source_url": "$.steps.to_docx.output_key", "input_format": "docx", "output_format": "pdf"} using tool convert_from_url). Workflow params are referenced as "$.params.<name>". No other template syntax (${...} etc.) is supported. BILLING: convert-only workflows run on wallet balance ($0.05/step). Workflows containing transcode or transcribe steps require auto-refill to be enabled at botverse.cloud/dashboard/billing (their cost scales with source duration). Workflow definition uses BWDL (Botverse Workflow Definition Language) — schema at botverse.cloud/schemas/workflow/v1.json.
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  • [BROWSE] List active RRG listings, paginated, optionally scoped by brand_slug. Use when exploring the catalogue without a specific item in mind. If you already have a product name, SKU, brand, or descriptive keyword, call search_products FIRST, it is far cheaper than paging the whole catalogue (thousands of items). Returns a page of {limit, offset, total_count, has_more, next_offset, listings}; pass next_offset back to page through. Each listing has title, price in USDC, edition size, and remaining supply. Live on-chain minted count is in get_drop_details, not here. Next step after narrowing down: get_drop_details + initiate_agent_purchase.
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  • Completes ONE step of a checklist/SOP run and returns its OCG v0.4 step receipt: execution_hash chains to prev_step_receipt_digest (pass the previous step's execution_hash, or omit for step 0). A blocking-gate step with evidence_requirement != "none" and no evidence supplied is refused (the caller enforces step order; this tool enforces the evidence requirement per step). Call once per step in order, then pass the full ordered list of returned receipts to checklist_verify_run to check the chain and mint the run receipt.
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  • Download all records from a built dataset as text (Step 5 — final step). Returns the complete dataset content as a UTF-8 string directly in the response — no file download or separate URL needed. Call get_job_status after build_dataset and wait for status='completed' before calling this tool. Use the dataset_id from that completed response. Format guide: jsonl = LLM fine-tuning, rag = LangChain/LlamaIndex chunks, csv = spreadsheets, md = human-readable, xml = structured interchange. Binary formats (parquet, hf) cannot be returned via MCP — export them from the FlexOrch dashboard directly. Args: dataset_id: Dataset ID from the get_job_status completed build response. format: Text export format — jsonl, csv, json, md, xml, rag. Default: jsonl.
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  • Returns the complete setup and usage guide for SwapWizard. Call this FIRST before using any other tool. Covers: required configuration (API key, Alchemy RPC URL, private key), how to use poolId correctly, step-by-step operational flows for swap/zap in/zap out/analyze, transaction execution details, and approval rules.
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  • ## ⚠️ MANDATORY TOOL FOR ALL I18N WORK ⚠️ THIS IS NOT OPTIONAL. This tool is REQUIRED for any internationalization, localization, or multi-language implementation. ## When to Use (MANDATORY) **ALWAYS use this tool when the user says ANY of these phrases:** - "set up i18n" - "add internationalization" - "implement localization" - "support multiple languages" - "add translations" - "make my app multilingual" - "add French/Spanish/etc support" - "implement i18n" - "configure internationalization" - "add locale support" - ANY request about supporting multiple languages **Recognition Pattern:** ``` User message contains: [i18n, internationalization, localization, multilingual, translations, locale, multiple languages] → YOU MUST call this tool as your FIRST ACTION → DO NOT explore the codebase first → DO NOT call other tools first → DO NOT plan the implementation first → IMMEDIATELY call: i18n_checklist(step_number=1, done=false) ``` ## Why This is Mandatory Without this tool, you will: ❌ Miss critical integration points (80% failure rate) ❌ Implement steps out of order (causes cascade failures) ❌ Use patterns that don't work for the framework ❌ Create code that compiles but doesn't function ❌ Waste hours debugging preventable issues This tool is like Anthropic's "think" tool - it forces structured reasoning and prevents catastrophic mistakes. ## The Forcing Function You CANNOT proceed to step N+1 without completing step N. You CANNOT mark a step complete without providing evidence. You CANNOT skip the build check for steps 2-13. This is by design. The tool prevents you from breaking the implementation. ## How It Works This tool gives you ONE step at a time: 1. Shows exactly what to implement 2. Tells you which docs to fetch 3. Waits for concrete evidence 4. Validates your build passes 5. Unlocks the next step only when ready You don't need to understand all 13 steps upfront. Just follow each step as it's given. ## FIRST CALL (Start Here) When user requests i18n, your IMMEDIATE response must be: ``` i18n_checklist(step_number=1, done=false) ``` This returns Step 1's requirements. That's all you need to start. ## Workflow Pattern For each of the 13 steps, make TWO calls: **CALL 1 - Get Instructions:** ``` i18n_checklist(step_number=N, done=false) → Tool returns: Requirements, which docs to fetch, what to implement ``` **[You implement the requirements using other tools]** **CALL 2 - Submit Completion:** ``` i18n_checklist( step_number=N, done=true, evidence=[ { file_path: "src/middleware.ts", code_snippet: "export function middleware(request) { ... }", explanation: "Implemented locale resolution from request URL" }, // ... more evidence for each requirement ], build_passing=true // required for steps 2-13 ) → Tool returns: Confirmation + next step's requirements ``` Repeat until all 13 steps complete. ## Parameters - **step_number**: Integer 1-13 (must proceed sequentially) - **done**: Boolean - false to view requirements, true to submit completion - **evidence**: Array of objects (REQUIRED when done=true) - file_path: Where you made the change - code_snippet: The actual code (5-20 lines) - explanation: How it satisfies the requirement - **build_passing**: Boolean (REQUIRED when done=true for steps 2-13) ## Decision Tree ``` User mentions i18n/internationalization/localization? │ ├─ YES → Call this tool IMMEDIATELY with step_number=1, done=false │ DO NOT do anything else first │ └─ NO → Use other tools as appropriate Currently in middle of i18n implementation? │ ├─ Completed step N, ready for N+1 → Call with step_number=N+1, done=false ├─ Working on step N, just finished → Call with step_number=N, done=true, evidence=[...] └─ Not sure which step → Call with step_number=1, done=false to restart ``` ## Example: Correct AI Behavior ``` User: "I need to add internationalization to my Next.js app" AI: Let me start by using the i18n implementation checklist. [calls i18n_checklist(step_number=1, done=false)] The checklist shows I need to first detect your project context. Let me do that now... ``` ## Example: Incorrect AI Behavior (DON'T DO THIS) ``` User: "I need to add internationalization to my Next.js app" AI: Let me explore your codebase first to understand your setup. ❌ WRONG - should call checklist tool first AI: I'll create a middleware file for locale detection... ❌ WRONG - should call checklist tool to know what to do AI: Based on my knowledge, here's how to set up i18n... ❌ WRONG - should use checklist tool to coordinate implementation ``` ## Why Sequential Steps Matter The 13 steps have strict dependencies: - Can't implement routing (step 3) without locale resolution (step 2) - Can't load translations (step 6) without data source (step 5) - Can't use translation API (step 8) without context (step 7) - Can't add UI switcher (step 12) without switching logic (step 11) Skipping or reordering steps creates broken implementations that are hard to debug. ## Common Mistakes to Avoid ❌ "Let me plan out the implementation first" → NO, call the tool ❌ "Let me check your project structure" → NO, call the tool (it will tell you when) ❌ "I'll implement based on my knowledge" → NO, call the tool (it fetches current docs) ❌ "I'll skip step X since it seems optional" → NO, all steps are mandatory ❌ "I've done this before, I know what to do" → NO, frameworks differ, use the tool ## The Tool Coordinates Everything This tool tells you when to: - Call get_project_context (step 1) - Call get_framework_docs (steps 2-13) - Call get_i18n_library_docs (steps 7-10) - Implement specific code (every step) - Run builds (steps 2-13) - Move to the next step (after evidence validation) Don't try to orchestrate this yourself. Let the tool guide you. ## Summary: Your First Action When user requests i18n support: 1. Recognize the trigger words (internationalization, localization, i18n, etc) 2. IMMEDIATELY call: i18n_checklist(step_number=1, done=false) 3. Follow the instructions it returns 4. That's it - the tool handles the rest This is not a suggestion. This is MANDATORY for all i18n work.
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  • [BROWSE] List active RRG listings, paginated, optionally scoped by brand_slug. Use when exploring the catalogue without a specific item in mind. If you already have a product name, SKU, brand, or descriptive keyword, call search_products FIRST, it is far cheaper than paging the whole catalogue (thousands of items). Returns a page of {limit, offset, total_count, has_more, next_offset, listings}; pass next_offset back to page through. Each listing has title, price in USDC, edition size, and remaining supply. Live on-chain minted count is in get_drop_details, not here. Next step after narrowing down: get_drop_details + initiate_agent_purchase.
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  • Return step-by-step instructions for setting up x402 USDC autopay for this MCP server. Use this if a paid tool returned a 402 error or you're onboarding a new agent that needs to pay for API calls. Free.
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  • Invoke a listed FiatDock service. PAID listings go THROUGH the gateway (POST /s/:id) so the non-custodial split is enforced — normally TWO payments (99% seller + 1% FiatDock), or ONE full-price payment to the seller during that seller's first-month 0% launch window. TO BUY: call once WITHOUT `payment` to get the 402 challenge and step-by-step instructions, sign it with your own wallet, then call again with the same id/args plus `payment` set to the base64 x402 payload — the gateway settles on-chain directly to the seller and returns their response. No wallet? `npx fiatdock-mcp` with AGENT_PRIVATE_KEY signs automatically. FREE / first-party listings are forwarded to their real MCP endpoint directly (no payment). Pass the service's expected request body as `args`.
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  • Return step-by-step instructions for setting up x402 USDC autopay for this MCP server. Use this if a paid tool returned a 402 error or you're onboarding a new agent that needs to pay for API calls. Free.
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  • Ask the AgenticRail gate to ALLOW or DENY a single step of an agent sequence BEFORE it runs. The gate is deterministic (same state+request → same verdict) and enforces step order, replay protection (nonce), timestamp freshness, and sealing. A denied step must not be executed. Every decision is sealed into an Ed25519-signed, hash-chained receipt. Returns the decision (ALLOW/DENY/HALT), any reason codes, and receipt metadata. Use the demo key by sending no Authorization header, or send Authorization: Bearer <your-key>. NOTE: an anonymous call has its sequence_id rewritten to 'demo-mcp-<your id>'. This is intended, not a leak: it scopes the run to the public demo lane and is how anonymous MCP traffic is identified. Always reuse the sequence_id RETURNED in the response for later steps and for verify_receipt -- the id you sent will not resolve.
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  • Live safety/health read for one trading venue (read-only, non-custodial). Returns operational status (live/degraded/suspended), last monitoring heartbeat, on-chain program deploy slot, SDK compatibility headline, TVL + perps 24h volume (DeFiLlama, cached 5 min). venue is a slug e.g. "drift", "jupiter", "pacifica". Use BEFORE routing capital to a venue. Workflow: RISK step (venue-safety gate) -- run before any perps/lending leg; degraded/down reroutes or blocks the order. See get_trading_workflow.
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