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510,032 tools. Updated 2026-09-03 17:32

"A server for finding information about step-by-step thinking and slow thinking methodologies" matching MCP tools:

  • Stream or update your internal companion thinking bubble on the board. This appears live to your human as a thinking bubble above your avatar.
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  • The medium-effort reasoning agent is designed to handle moderate to complex tasks by applying structured, multi-step thinking and deeper analysis. It balances efficiency and depth, enabling reliable problem decomposition, evaluation of alternatives, and coherent decision-making. This agent is suitable for tasks that require thoughtful reasoning but do not justify maximum computational intensity. Expected Runtime: ~50s.
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  • Review and then post an ExpenseBot report to the owner's accounting destination. STEP 1: call with provider, reportId, and optional mode/mappings, without confirm. The server reads the live report and destination, applies Omit/Personal/split/date/currency rules, checks Zoho bank-feed matches, and returns the complete proposal plus proposalId. NOTHING is posted in step 1. Show the complete proposal and ask for approval. STEP 2: call with only provider, proposalId, and confirm:true. The server posts only the frozen, account-bound proposal, revalidates live state, and rejects changed reports or mappings. Never add mapping fields to the confirmation call. Owner accounts only; acting for a client is not supported. Agent-driven posting is currently available only for Zoho Books (zoho_books); QuickBooks Online, Xero, Wave, and FreeAgent are intentionally not accepted by this tool yet because their previews cannot freeze/revalidate the canonical provider plan that shareReport executes. Use those providers' web flows until they satisfy the full push contract.
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  • Check what is set up so far and what to do next to get building. Reports engine_connected / github_connected / project_count / payment_status and a `next_action` string you should follow VERBATIM, polling this tool between steps. `next_action` is "call_tool" (call the tool named in `next_tool`, following `next_step`) until onboarding is complete, then "done". (`next_action_detail` echoes the pre-2026-07-29 dict shape and is DEPRECATED — it is removed 2026-10-29; read next_action/next_tool instead.) - engine step: send the user the dashboard /login link. Engine subscriptions (Claude / Codex / GLM) are connected in the DASHBOARD for security — NEVER ask for or paste engine credentials in this chat. - github step: call connect_github() for an install link. - project step: create_project(...) for a new repo, or import_project(repo_full_name) for an existing one. - launch step: poll get_provisioning_status(project_id) until ready. Re-checking is YOUR job — the server does not push. Also returns a `usage` block (pool / daily / machine-hours counters + tier caps) for capacity-aware automation clients.
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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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Matching MCP Servers

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    license
    Not graded
    quality
    B
    maintenance
    Persistent sequential thinking for MCP clients, stored durably on Cloudflare Workers with support for branching, revision, and history retrieval.
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    MIT

Matching MCP Connectors

  • One runner for an entire SHPBL repository audit and repair: survey, opening library comparison, evaluation, repair, the batched harvest, closing library comparison, the branded HTML report, and the write-back path. STRICT SEQUENCE: call it once with no `step` for the run card, then `step: 1`, `step: 2`, one step per turn, in order. Do the returned step, report one line to the person, then call the next. Never call two steps in one turn, never attempt the whole run at once, and never infer a finding you were not handed. From `step: 2` on you must pass `ledger_digest`; every 3 steps (adjustable with `checkpoint_interval`, max 10, only when the person asks for fewer pauses) the run pauses and you must ask the person before continuing, then pass `continue_ack: "continue"`. The final step hands over the report template and the write-back path. Your own model does all reading and writing. This full conductor requires a Practitioner key (7-day free trial). The free lane provides repository evaluation, not a partial or full gauntlet.
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  • Provide an answer to the current step in a compliance workflow. Use this when someone provides information requested by the workflow, such as 'our system processes health data' or 'we use AES-256 encryption'. The workflow engine validates the response and advances to the next step. Pass user_acknowledged=true only after the user has supplied the fields listed in user_provided_fields. evidence_references accepts document UUIDs, doc:// segment URIs, or regulatory URLs. For an unattended gate, pass approved_by='auto' and leave user_acknowledged=false so the report does not misrepresent automation as human review. approved_by accepts only 'auto'; human review is asserted via user_acknowledged, never by naming an approver.
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  • 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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  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
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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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  • 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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  • Structure multi-step debugging and planning across tool calls — not a one-shot think. Tracks hypotheses, observations, plans; detects loops via lastActions; riskLevel high/critical blocks dangerous edits (drop table, prod deploy). Loads projectBrief (stack, key_paths, project_memory recall) on local project. On close, suggestedRemember → call project_memory remember. 4 credits hosted. Hard cap 10 thoughts/session. Call when: stuck after 2+ failed debug attempts, auth/billing/schema change spans 3+ files, flaky test you cannot explain, or you need a plan before editing. Pass lastActions (2–5 recent tool calls), goalAnchor after thought 2, sessionId to resume, area for subsystem. NOT when fix is known, single typo, repeating without new evidence, or session ended (nextThoughtNeeded:false). Read thoughtConfirmed and shouldContinue first. Legacy alias: thinking. Example: keep_thinking({ thought: 'Hypothesis: refresh token not rotated in middleware', thoughtType: 'hypothesis', thoughtNumber: 1, totalThoughts: 5, nextThoughtNeeded: true, confidence: 0.6, goalAnchor: 'Fix auth logout loop', lastActions: ['find_code(query=refreshToken)', 'read_code(target=authMiddleware)'], area: 'auth' }). Read-only.
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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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  • Constructs an ordered set of ready-to-use deep-links for a named AINumbers workflow chain or an ad-hoc sequence of tools. Each link points directly to the browser tool; prefill-enabled steps accept #in=<base64url(JSON)> fragments so the tool opens pre-filled. Zero server-side execution -- all tool logic runs deterministically in the user's browser. Use this to hand a user a complete workflow: open step 1, run it, export its Policy Mandate, open step 2 (pre-filled from step 1 outputs), repeat. 369 named chains are available — enumerate them with find_chain.
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  • Submit a public product URL for price tracking. Waits up to ~25s server-side; fast shops return status "completed" with product in one call. Slow jobs return status "running" with job_id — poll get_job_status. On failure, returns a structured error object with fields error.code, error.message, error.http_status, error.retry_recommended, and error.retry_after_seconds.
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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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  • Multi-step cited research in one call: plans sub-questions, searches each, fetches and dedupes sources, then synthesizes an answer with inline [n] citations, key findings, and gaps. Unlike `research` ($0.08, one search + summary) this decomposes the question and cites every claim. SLOW: a standard run takes ~30-60 seconds — use a generous client timeout and do not retry on timeout. Price: $0.20 standard (3 sub-questions, 8 sources) / $0.35 deep (5 sub-questions, 12 sources)
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  • Step-by-step integration instructions for actually compressing images — either through the @pipic/cli command-line tool (best for whole directories) or over plain HTTP (no Node required). Includes the output contract, exit codes, error codes and which failures are worth retrying.
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  • Change the session type or the brief on an existing booking — what the buyer wants to discuss, what they want out of it, or the background they want read first. Use this when the buyer refines their thinking after booking, which is common: people work out the real question after the date is in the diary. Only the fields you pass are changed. This does not move the meeting — use reschedule_booking for that.
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