"How to execute a Python script" matching MCP tools:

• execute

  klanex-mcp

  Submit an HTTP call to a third-party API for reliable asynchronous execution. klanex validates the payload (optionally against payload_schema), stores credentials encrypted, executes with automatic retries/backoff/circuit breakers, and keeps an audit trail — you submit once and never retry transient failures yourself. Call this instead of making a direct HTTP request whenever the call has side effects (payments, messages, tickets, writes) or the target may be flaky. Prefer connection_id over headers for credentials. Always set idempotency_key for side-effecting calls so resubmitting can never double-execute. Set wait_seconds to block for the result; otherwise poll get_execution with the returned execution_id.

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• decoder_intelligence

  Heista

  Browse individual decoded ads from Heista's corpus of real winning Meta/TikTok creative. Takes optional filters: vertical, creative_format, marketing_angle, hook_type, algo_intent, brand (partial name match), and limit (1-10, default 5). Each result returns beat timeline, classification, psychology, runtime performance signals (active days on Meta when available), and a decode id you can pass into generate_adscript with source_type="decode" to write a fresh script on that exact structure. Free, read-only, idempotent — no credits consumed. Use this when the user wants a specific ad as a script template (not an averaged formula), asks "show me winning ads in [vertical]", "what are [brand]'s top ads", or wants to see examples before committing to a generation. Source discovery surface — the response is the spine; for the full bundle with transcripts and director's read, call get_decode by id afterwards. Do NOT use to decode a NEW ad from a URL — use decode_ad (paid). Do NOT use for category-level patterns abstracted across multiple ads — use adformula_intelligence. Do NOT use to write the script itself — use generate_adscript or write directly from the bundle.

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• set_param

  kernelcad

  Use this when you need to edit a param() default value in a kernelCAD script. Returns the modified code as text plus diagnostics from re-evaluating the result. Caller persists the new code via standard file-write tools (this tool has no side effects).

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• get_strategy_code

  quantifyme

  Get the actual Python code behind a community leaderboard strategy. Use after `browse_community`: pass an entry's `id` here to read its real `feature_engineering()` + `strategy_config()` source so the user can inspect or tweak it. To deploy it unchanged, pass the same id to `one_shot` as `community_id`. Read-only, no signup needed. Args: community_id: The `id` of a community entry (from `browse_community`). Returns: dict with: id, title, username, description, symbol, timeframe, metrics {total_ret, win_rate, profit_factor, n_trades, mdd, sharpe_strat}, and `code` (the full Python source). SHOW the code to the user, and offer to deploy it via one_shot(community_id=...) or tweak it first.

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• entry.detail

  HeyClaude — Claude & AI workflow directory

  Fetch a read-only HeyClaude registry entry detail payload by category and slug. By default (bodyMode='excerpt') the body markdown is trimmed to a short lead and large copyable fields are omitted to conserve context, with bodyChars/bodyTruncated/omittedFields describing what was dropped; pass bodyMode='full' for the complete content or 'none' to drop the body entirely. Use entry.asset to retrieve omitted install/script content.

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• get_trading_workflow

  Crank Protocol

  Map of how Crank's tools fit into one end-to-end trading flow (read this first). Read-only, free. Returns an ordered, machine-readable workflow: orient -> intelligence -> yields -> simulate (backtest) -> risk-size -> execute (non-custodial) -> monitor -> journal. Each step names the concrete tool(s) to call, their purpose, key inputs, how to use the output downstream, and the decision points that branch the flow -- so an agent that discovered Crank via tools/list can sequence the full tool surface instead of guessing. Descriptive only (DYOR); only execute-phase tools are value-bearing. wallet_address (optional, PUBLIC key only -- non-custodial): when given, appends ``human_activity`` -- count + most-recent manual override on this shared account in the last 72h (decision_type, asset, rationale summary, timestamp) plus an instruction to reconcile with it before acting. Human and agents act on ONE account: every human action is journaled (see journal_query source="human") so it is never invisible to you. Absent/clean (``{"count": 0}``) when there is no override.

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• get_app_guide_section

  Wellness Project

  Look up how this app works (features, settings, navigation, troubleshooting). Call when the user asks where something lives, how a feature works, what a metric is computed from, or how to do something inside the product. Do NOT call for advice about the user's body or data — those route to specialists. Examples: "where do I see my PRs?"→pages_training/troubleshooting; "what does Fit Score include?"→pages_dashboard; "what happens in the On Deck workout builder?"→pages_training; "where do I track macros/sleep/cycle?"→pages_nutrition; "how do I connect Oura?"→wearables; "how do I set a calorie goal?"→goals; "can I export my data?"→privacy; "what does Lauryn handle?"→personas; "how does photo meal scan work?"→photos; "how do I log a meal in chat?"→logging; "how do friend challenges work?"→challenges. Returns a Markdown section plus a short guardrail preamble that constrains how to answer. Pick exactly one topic per call; if the question spans two, call twice.

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• run_code

  CoreModels

  Execute a JavaScript program that orchestrates this server's tools, and return only its result. Prefer this over many individual tool calls when a task needs several steps, looping, filtering, or combining data: intermediate results stay in the sandbox, so only what you return reaches the model. Inside the script: - listTools() -> [{name, summary}] discover available tools - getToolDoc(name) -> {name, description, parameters, required} inspect one tool's inputs - tools.<name>(args) -> parsed result call a tool (graphProjectId is injected automatically; do NOT pass it) - console.log(...) captured and returned alongside the result - return <value> JSON-serialized and returned Environment: sandboxed JavaScript, no network or filesystem, with limits on time, memory, statements and number of tool calls. Currently only read-only tools are callable from code.

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• generate_wallet

  Blueprint Agentic Staking (Solentic)

  Returns runnable code that creates a Solana keypair. Solentic cannot generate the keypair for you and never sees the private key — generation must happen wherever you run code (the agent process, a code-interpreter tool, a Python/Node sandbox, the user's shell). The response includes the snippet ready to execute. After running it, fund the resulting publicKey and call the `stake` tool with {walletAddress, secretKey, amountSol} to stake in one call.

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• render_diagram

  Diagrams MCP

  Render a mingrammer/diagrams Python snippet to PNG and return the image. The code must be a complete Python script using `from diagrams import ...` imports and a `with Diagram(...)` context manager block. Use search_nodes to verify node names and get correct import paths before writing code. Read the diagrams://reference/diagram, diagrams://reference/edge, and diagrams://reference/cluster resources for constructor options and usage examples. Args: code: Full Python code using the diagrams library. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.

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• how-to

  Fast.io

  Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.

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• execute

  klanex

  Submit an HTTP call to a third-party API for reliable asynchronous execution. klanex validates the payload (optionally against payload_schema), stores credentials encrypted, executes with automatic retries/backoff/circuit breakers, and keeps an audit trail — you submit once and never retry transient failures yourself. Call this instead of making a direct HTTP request whenever the call has side effects (payments, messages, tickets, writes) or the target may be flaky. Prefer connection_id over headers for credentials. Always set idempotency_key for side-effecting calls so resubmitting can never double-execute. Set wait_seconds to block for the result; otherwise poll get_execution with the returned execution_id.

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• create_share

  agent4.io

  Create a **share / integration entry point** for an agent — this is how end users actually reach it. **`published=True` only means "visible", not "reachable"**: for end users to talk to the agent you must create a share. The response carries a directly openable chat link (`{public_base}/s/<token>`) and the website embed URL (`{public_base}/embed/<token>`). For a website widget, paste one line before </body>: `<script src="{public_base}/embed.js" data-token="<token>"></script>`. label names this entry point ("website widget", "support link"). Telegram/WhatsApp and other channels are connected separately on the agent's Integration page in the console. **No website?** Hand the returned `chat_url` or `qr_url` (QR code) straight to the tenant: print it on business cards / flyers / in-store; scanning opens a full-page chat, no login, returning visitors are remembered per browser. **For links you give to humans, prefer `pretty_url`** (when present in the response): `{public_base}/t/<tenant alias>/<agent alias>` — memorable, printable, survives token rotation. No pretty_url = aliases not fully set — **fix that proactively**: agent alias via `create_agent`'s alias param or `PUT /agents/{name}/alias`; tenant alias in console → Settings. The `/s/<token>` link still works, but it is the machine/embed form, not one to read out to a person.

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• designesy_a11y_score

  Designesy

  Get the Designesy WCAG 2.2 AA accessibility verification framework: 11 conformance checks (a01-a11) plus a ready-to-run Playwright + axe-core 4.12.1 script template targeting your URL. Use this to audit a site for accessibility violations. When NOT to use: for a full design-contract score (not just a11y), use designesy_score. Does NOT run the scan — axe-core needs a real browser DOM. Returns the 11 checks + a Playwright script you execute locally (npm i -D @axe-core/playwright). The score comes from your local run, not from this tool. Returns JSON: { checks[{id (a01–a11), name, status: "PENDING_EXECUTION"}], playwright_script, install_command, run_command }. Pass config (JSON string) to customize axe.configure() — e.g. branding overrides, rule disables. Omit for standard WCAG 2.2 AA.

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• get_signup_link

  Gonka Second Opinion (multi-model)

  Get Gonka Network signup link with referral welcome bonus (50M nGNK free tokens). Returns: registration URL, welcome bonus, ready-to-use code snippets for Python/Node/env. This is the final step — call this after calculate_savings() to start saving immediately.

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• verse_render

  Listen to Sadhu

  Show a verse to the user. THE DEFAULT way to display/read a scripture verse: renders an inline card with the original script (centered), transliteration in the requested language, the word-by-word, and the translation — all at once. Use this whenever the user asks to see, read, open, or quote a specific verse ("покажи БГ 2.13", "read Bhagavad-gita 2.13"). The other verse_* tools are for fetching raw data; for DISPLAY prefer this one. Address by ref ("BG 2.13"), source+tokens, or id; lang sets the script + translation language.

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• search_docs

  Devdocs Io

  Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).

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• run_code

  coremodels

  Execute a JavaScript program that orchestrates this server's tools, and return only its result. Prefer this over many individual tool calls when a task needs several steps, looping, filtering, or combining data: intermediate results stay in the sandbox, so only what you return reaches the model. Inside the script: - listTools() -> [{name, summary}] discover available tools - getToolDoc(name) -> {name, description, parameters, required} inspect one tool's inputs - tools.<name>(args) -> parsed result call a tool (graphProjectId is injected automatically; do NOT pass it) - console.log(...) captured and returned alongside the result - return <value> JSON-serialized and returned Environment: sandboxed JavaScript, no network or filesystem, with limits on time, memory, statements and number of tool calls. Currently only read-only tools are callable from code.

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• diff_scripts

  kernelcad

  Use this when you need to see exactly what changed between two script versions. Structured geometric delta between two versions of a kernelCAD script — a baseline ({ baseFile } or { baseCode }) and a revision ({ file } or { code }). Returns agent-readable JSON: per-part added/removed/renamed/changed (volume mm³ + exact bbox deltas, numbers matching inspect({ of: 'part-stats' })), total interference-volume delta with per-pair detail, mate-graph changes (added/removed/changed mates incl. type, connectors, pose, limits), and param changes (value/min/max). Single-shape scripts diff as one "(root)" pseudo-part. Use after editing a script to verify exactly what changed physically before re-rendering. Read-only — never touches the active session.

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• job_alert_unsubscribe_all

  FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT

  Unsubscribes the authenticated user from ALL of their job alerts at once, across every subscription source (regular, company page, MCP). **Input:** - `confirm`: Must be `true` to execute. The call is rejected when omitted or not true — this guards against an unintended bulk unsubscribe. **Output:** Confirms how many alerts were unsubscribed. Idempotent: returns success even when the user has no active alerts.

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