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755,709 tools. Updated 2026-11-07 12:18

"Code Execution" matching MCP tools:

  • Mint a single-use upload URL for pushing a conversation-attached PDF to Bankstatemently before converting it. Use this ONLY when you have no other way to reference the attached file (no pdf_file/pdf_url equivalent for this host) — e.g. a code-execution sandbox that can see the file on disk but has no URL for it. Playbook: (1) check your sandbox's uploads/attachments directory first — if the file isn't there yet, the mount can lag behind the conversation; ask the user to re-attach or wait a moment and check again before calling this tool. (2) Call request_upload to get upload_url and upload_id. (3) PUT the raw PDF bytes to upload_url with header Content-Type: application/pdf, e.g.: `curl -X PUT "<upload_url>" -H "Content-Type: application/pdf" --data-binary @<path-to-file>`. (4) Once the PUT succeeds, call convert_statement with upload_id set to the same value — never pdf/pdf_url/pdf_file for this flow. The URL and token are single-use and expire quickly; call request_upload again for a fresh one if the PUT fails partway through — never retry a failed PUT against the same URL. If the PUT fails with a network error or a "host not allowed"-style denial, the sandbox is likely blocking outbound requests to api.bankstatemently.com — tell the user to add api.bankstatemently.com to their host's code-execution allowed-domains setting (on claude.ai: Settings → Capabilities → Code execution) and retry. To convert several statements at once, pass count (1-100) instead of calling this tool once per file: the response returns "uploads", an array of that many { upload_id, upload_url } pairs — PUT each file to its own upload_url, then make ONE convert_statement call with upload_ids set to every upload_id. Free to use — no credits consumed (conversion itself still costs credits, same as any other convert_statement call).
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Search Tiktok posts by hashtags with three response modes. Searches the hashtags column directly (NOT post descriptions). Pass hashtags as an array of bare alphanumeric strings - do NOT include leading "#". OR semantics: matches posts containing ANY of the listed hashtags. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: hashtag trend analysis, viral hashtag tracking, cross-hashtag content discovery. Returns by default: id, description, username, createdAtDate. NOT for keyword/phrase search in descriptions - use getTiktokPostsByKeywords instead. NOT for URL or post ID lookups - use getTiktokPostsByIds instead. Date filters: OMIT startDate/endDate parameters by default to retrieve all posts. ONLY pass these if user explicitly requests specific date range (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. FIELDS parameter (optional): Specify to get additional/different fields. Available: Core (id, description, userId, username, nickname, createdAtDate), Engagement (likeCount, commentCount, playCount, forwardCount, collectCount, downloadCount), Media (videoThumbnail, videoUrl, duration, postType), Content (hashtags, transcriptsJson). This is a safe, read-only tool for analyzing searchable information.
    ConnectorOAuth
  • List the 10 senior-QS skill methodologies CivilQuants exposes (tender review, risk assessment, QS measurement/contract advice, geotechnical + geo-environmental interpretation, earthworks, preliminaries, pavement design, subcontract analysis). Universal discovery — both tiers see the full list. Returns each skill's slug, title, one-line summary and tier; then call get_skill(skill=<slug>) to fetch the methodology body. The skills are paid-tier; a free caller gets a sign-up prompt from get_skill. NOTE: the document-heavy skills (tender review, the interpretation skills) need a code-execution client (Claude Code / Codex / VS Code) plus the chunking pack from get_document_pipeline to run a real tender pack — on a chat connector you can read the methodology but cannot chunk/parse files.
    ConnectorNo auth
  • Drop the promo code from the cart, so totals go back to full price (a bundle price, if any, still applies). Use it when the human no longer wants the code; it isn't needed before apply_promo, which replaces the code anyway. Safe to repeat: with no code applied or an empty cart it does nothing and still returns applied=false.
    ConnectorNo auth
  • Redeem the emailed 6-digit code for a reveal-once workspace API key. UNAUTHENTICATED. `email` + `code` must match a code issued by signup(email) within the last 15 minutes (5 attempts max). The returned `api_key` is shown exactly ONCE — store it ONLY in the MCP client config ("Authorization: Bearer <api_key>"), NEVER in a repo or a file you might commit. Reconnecting this server with the header set and calling get_onboarding_status() continues setup. An invalid/expired/consumed code returns a uniform error; a fresh code comes from signup(email).
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    Destructive
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Matching MCP Servers

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    An MCP server that enables AI agents to execute terminal commands and Python code on the host system, leveraging Agent Zero's battle-tested implementation with session management and smart output handling.
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    Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.
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Matching MCP Connectors

  • Run sandboxed Python for calculations and PDFs; no other languages, installs or network.

  • Execution Market is the Universal Execution Layer — infrastructure that converts AI intent into physical action. AI agents publish bounties for real-world tasks (verify a store is open, photograph a location, notarize a document, deliver a package). Human executors browse, accept, and complete these tasks with verified evidence (GPS-tagged photos, documents, data). Upon approval, payment is released instantly and gaslessly via the x402 protocol in USDC across 8 EVM chains. Key cap

  • Worked-vs-On-time Execution Timeline (WOET) per-activity day-by-day classification of as-built execution against baseline. For each pairable activity (matched by ``task_code``), classifies execution into 4 day-states: - PROGRESS: work performed during the baseline-planned window - GAIN: work performed BEFORE the baseline window opened - EXTENDED: work performed AFTER the baseline window closed - VOID: baseline-window day where activity was NOT active This is a CPP-disclosed enhancement layered on top of AACE 29R-03 §3.3 Windows Analysis — a per-day execution classifier (Progress/Gain/Extended/Void) NOT itself AACE-defined. It is not a substitute for fragnet-based AACE 29R-03 §3.7 (TIA) modeling. It gives the trier-of-fact a calendar picture of how the project executed versus how it was supposed to execute, which is otherwise buried in finish-date deltas. Use this tool when you want a per-activity execution-quality picture (on-time %, count of activities with VOID days, etc.). Args: baseline_xer_path: server-side path to baseline XER (target dates). actual_xer_path: server-side path to as-built XER (act dates). baseline_xer_content: full text of baseline XER (alternative). actual_xer_content: full text of as-built XER (alternative). Supply EXACTLY ONE of path/content per pair. today: optional ISO date (YYYY-MM-DD) reference for in-progress activities. Defaults to actual XER's last_recalc_date if available, else today's date. Returns: { "method": "WOET", "standard": "AACE 29R-03 §3.3 Windows Analysis — per-day execution classification overlay (CPP-disclosed enhancement, not AACE-defined)", "today": "YYYY-MM-DD", "project_totals": {progress, gain, extended, void}, "per_activity": [{code, name, baseline_start, ..., "dominant": str ('progress'|'gain'|'extended'|'void' or 'mixed' on a tie), "dominant_tie": bool (True when 2+ states share the top day count — do NOT assert one characterization), "dominant_states": [tied top states, never truncated]}, ...], "on_time_pct": float (0-100) }
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  • Rank DEXs and aggregators by realized execution quality: median slippage against a minute-level off-chain reference price (Dune prices.usd, an interpolated 5-minute exchange-aggregate feed and not a VWAP), expressed as a score of 0-100 (higher means less slippage). This score measures SLIPPAGE ONLY. Revert rates and MEV exposure are tracked as separate metrics and are deliberately not folded in, so do not present this as an overall 'best execution' ranking -- a venue can score well here and fail often, and the caller has to ask `revert_rates` to find that out. Execution quality is not uniform across chains: pass a chain for a single-chain ranking, or 'all' for the blended cross-chain rollup, and do not describe the blend as if it were one chain's result.
    ConnectorNo auth
  • List the postcoordination axes WHO allows for one ICD-11 stem code (MMS linearization, pinned release). Postcoordination means attaching extra detail to a stem code — severity, laterality, anatomy, causing agent, etc. — to build a composite (cluster) code. Use this tool to: - See which axes a stem code accepts before building a composite code - Check which axes are REQUIRED vs optional - See whether an axis takes one or several values, and how many values it offers Provide an ICD-11 `code` (e.g., "BA00"). Returns one entry per axis with `axis_name`, `required`, `allow_multiple` and `value_count` — the count of allowed values, not the values themselves. A code with no postcoordination, or one WHO does not know, returns an empty `axes` list (not an error), so check the code with icd11_lookup if the list is unexpectedly empty. When NOT to use: this does not build or validate a composite code, and it does not list the allowed values; to get a code from a disease name, use icd11_search.
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  • Use this when someone asks which actions their AI agent or its connected tools may take on their own, which need a person's approval, and which a person must do; or how to set up human oversight, permissions or AI governance for an agent (for example under the EU AI Act). Give either the address of a public MCP server, or the list of tools the agent has (name, description and annotations). Sorts every tool into green (runs alone: reads and prepares), yellow (a person approves: sending, updating, scheduling) or red (a person does it: money, permissions, deletion, code execution, commitments), flags tools with no risk annotations, and returns a ready policy, Claude Code permission rules (allow, ask, deny) and an oversight checklist. Reads tool lists only and never calls a tool. A working checklist, not legal advice.
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  • Confirm the email with the 6-digit code, or check whether the email link was clicked. Preferred: confirm_signup(account_id, code, signup_token). The first confirmation returns api_key; store it, it is shown once. Link clicked instead: call confirm_signup(account_id, signup_token) every 5 seconds, up to 10 minutes, until email_verified is true, then call create_api_key. A code allows 5 attempts and lasts 24 hours. For a new code, call resend_code(email).
    ConnectorAPI key
  • Block for up to timeout_seconds (default 45, maximum 50) until a platform execution reaches a terminal status, then return the same document get_execution_details returns plus waited_seconds and timed_out. Built for stateless clients such as MCP, whose calls have a 55-second deadline and no durable park: after a mutating tool answers with an operation_id or live_status_hint, call this once or twice instead of polling get_execution_details in a tight loop. timed_out true means the execution is still running - call again, or stop and report the last observed step summary. Read-only.
    ConnectorOAuth
  • Use this when the user wants to change a QR code already in their account: where a dynamic code points, its text or content, or its look (colours, shapes, logo, frame, size). Call `get_qr_code_by_id` first and send the full merged settings; this overwrites the saved settings. A static code that is already printed cannot change what it encodes. Do not use it to make a new code (use `generate_qr_code`).
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    Destructive
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  • Apply a learned skill — returns structured step-by-step execution plan. Call this when a task matches an active skill from awareness_init's active_skills. Returns the skill's methods, summary, and context-adapted guidance. Automatically marks the skill as used (resets decay timer). Args: skill_id: ID of the skill to apply (from active_skills). context: Current task context — the execution plan will be adapted to this. memory_id: Target memory id (auto-resolved if omitted). api_key: Bearer token for authentication.
    ConnectorNo auth
  • Use this when the user asks how much managed execution allowance is reserved, consumed or still available for the authenticated tenant. This is read-only and does not reserve or consume quota. When unlimitedExecutions is true the plan has no monthly execution cap: report unlimited executions and do not read out limitUnits or availableUnits; computers (deviceLimit) and parallel slots (executionSlots) stay limited.
    ConnectorOAuth
  • Fetch the server-delivered execution playbook for a Quattr workflow, by EXACT workflow id (the skill wrapper knows its own id — this is not a search; use find_relevant_analysis to route questions). Returns the bounded execution core with a version + content hash; never refetch a playbook whose version/hash is already in this conversation. If `complete` is false or the fetch fails, do NOT improvise the workflow — say the playbook is unavailable and stop before consequential recommendations.
    ConnectorOAuth
  • Returns trimmed Code IQ automated analyses (architecture, scalability, EOL, AI functionality, etc.) for a project (aggregated) or a single vault. Excludes The Code Score — use get-the-code-score for that, and do not pass analysis_key=code_score here (404). Only cached results are returned; this never triggers a fresh analysis. Provide exactly one of project_id or vault_id. Requires full data access (a paid plan; verification-only plans are not included). Requires X-API-Key (existing users can generate an API key in the web app). If headers aren't supported, pass api_key in arguments.
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  • Complete Disco signup using an email verification code. Call this after discovery_signup returns {"status": "verification_required"}. The user receives a 6-digit code by email — pass it here along with the same email address used in discovery_signup. Returns an API key on success. Args: email: Email address used in the discovery_signup call. code: 6-digit verification code from the email.
    ConnectorNo auth
  • Get COMMENT CONTENT (text, likes) for an Instagram post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount, childCommentCount. Use for reading what people said. NOT FOR USER PROFILES: To get detailed user profiles (bio, followerCount, followingCount) of commenters, use getInstagramPostInteractingUsers with interactionType="commenters" instead. IMPORTANT: postId must be in strong_id format (e.g., "3606450040306139062_4836333238") - use the full "id" value from other Instagram tools, NOT just the media_id. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: sentiment analysis, reading discussions, analyzing comment content, engagement patterns. Date filters: OMIT startDate/endDate parameters by default. ONLY pass these if user explicitly requests specific date range (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. This is a safe, read-only tool for analyzing searchable information.
    ConnectorOAuth
  • Get COMMENT CONTENT (text, likes) for a Tiktok post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount. Use for reading what people said. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: sentiment analysis, reading discussions, analyzing comment content, engagement patterns. Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. This is a safe, read-only tool for analyzing searchable information.
    ConnectorOAuth
  • Verify the email code and get a transfer token valid for 15 minutes. Call this after request_transfer_code and the user provides their code. Pass the returned transfer_token to get_transfer_code or unlock_domain. Args: order_id: The order ID of a completed domain purchase. code: The 6-digit code from the verification email.
    ConnectorNo auth