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521,454 tools. Updated 2026-09-06 11:42

"Understanding 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).
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  • 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.
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  • 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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  • 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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  • Scan any external content before an agent INGESTS it (SKILL.md, web page, user input, tool output) for prompt-injection, data exfiltration, dangerous code execution, hidden/invisible unicode and instruction overrides: 0-100 risk score + SAFE/WARN/BLOCK verdict + structured findings with matched evidence. Is it safe to feed this content to my agent? A fast, cheap, deterministic, high-volume pre-ingest firewall. Prompt-injection / skill-audit / untrusted-content security check for agents. Price: $0.10 per call (x402 payment, USDC on Base mainnet).
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  • Deterministically evaluates arithmetic, mathematical, and logical expressions inside an AST-isolated sandbox. Prevents LLM calculation errors while strictly blocking arbitrary code execution. Use for reliable numerical calculations and boolean logic. Do not use for executing arbitrary Python statements or importing external libraries.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • 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

  • Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.

  • Re-run a terminal (SUCCEEDED or FAILED) execution as a brand-new execution: same target, byte-exact original payload, same sealed credentials, fresh attempt counter. This is the outage-recovery path — failed calls can be re-executed without regenerating the payload. Each call creates a new execution (deliberately not idempotent).
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  • Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.
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  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
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  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
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  • List every error code in the Trillboards API error catalog. WHEN TO USE: - Understanding what error codes the API can return. - Building a client-side error handler that covers all cases. - Looking up error types, HTTP statuses, and documentation URLs. RETURNS: - object: "list" - data: Array of { code, type, http_status, description, doc_url } - total: Total number of error codes. Equivalent to GET /v1/errors but executed in-process (no HTTP round-trip). EXAMPLE: Agent: "What error codes can the API return?" list_error_codes()
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  • Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.
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  • Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.
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  • Paid tier only. Fetch a senior-QS skill methodology by slug (see list_skills) and APPLY it to the user's documents — the returned body is the system instruction for you to run the methodology on the customer's tokens; CivilQuants does not run inference. Paid callers get the full methodology; anonymous/free callers get a TIER_INSUFFICIENT upsell body; a rejected token gets an INVALID_TOKEN re-authenticate body. The document-heavy skills assume you can chunk/parse the customer's files and render a Word pack locally — that needs a code-execution client (Claude Code / Codex / VS Code) and the pack from get_document_pipeline; on a chat connector you can still read and reason with the methodology. Sign up at https://civilquants.com/pricing. Example: get_skill(skill="tender_risk_assessment").
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  • Call cc.central_signal — Unified signal ingestion endpoint that normalizes symbols from any exchange format (Binance, Bybit, TradingView) to executable format and routes to execution. Purpose: Unified signal ingestion endpoint that normalizes symbols from any exchange format (Binance, Bybit, TradingView) to executable format and routes to execution. Behavior: DESTRUCTIVE. Normalizes the signal and routes toward trade execution for the authenticated account. Can open/close positions. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.01 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 30/min (per API key). Tier: premium. Returns: Signal confirmation with execution status, order ID, fill price, and routing metadata. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: signals, execution, routing, tradingview, webhook, automation.
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    Destructive
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  • Browse all funding categories with opportunity counts. Categories include: Grant, Construction, Goods & Services, Professional Services, Technology, Healthcare, Research, and more. Useful for understanding what types of opportunities are available. Does not count toward your monthly searches.
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  • Structural format validation only for a SWIFT/BIC code: 8 or 11 characters (4 letters bank code + 2 letters country code + 2 alphanumeric location code + optional 3 alphanumeric branch code). The country code is not cross-checked against ISO 3166-1.
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  • Returns the latest stable release for each supported Vaadin major version (25, 24, 23, 14, 8, 7) with version number, release date, and whether it requires a commercial license. Useful for migration planning and understanding which versions are available.
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  • Get nationwide association statistics for France. Returns total associations across all regions and departments, top regions, top departments, and overall distribution insights. Useful for understanding the French associative landscape.
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  • List the values of an INE classification variable (e.g. provinces, age groups, ECOICOP groups). With no variableId, lists all variables; with a variableId, lists that variable's allowed values (each has an Id, Codigo, Nombre). Useful for understanding the breakdowns inside tables.
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  • Before installing an MCP server or npm package, audit it: does it run an INSTALL SCRIPT (arbitrary code execution at `npm i`), is it abandoned, does it ship a repository and license, weekly downloads, provenance — with a safe/caution/avoid verdict. ~11% of audited MCP servers run install scripts. Free.
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