"JSON Document Templates for Engineering Prompt Generation" matching MCP tools:

• validate_portfolio

  aibvf-mcp

  Check whether a supplied AI BVF v1.0 portfolio document has the shape the portfolio tools require, before scoring, sequencing, storing or sharing it. CALL THIS when the document came from a file, another system or hand-built JSON and its structure is uncertain. It checks required fields, taxonomy values and 0–100 pillar ranges only; it does not judge the evidence or calculate a verdict. Pillars may be bare numbers or { value, confidence } objects, both are valid. Use assemble_portfolio when the user has a list of initiatives in conversation and needs the document built for them, score_portfolio when the document is already ready for verdicts, and sequence_portfolio only after its initiatives are scoreable. Returns valid=true or one error per failing JSON path. Pure deterministic validation — no network, auth, or side effects.

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• excalibur_resolve_dynamic_block

  excalibur-mcp

  Start resolving a dynamic post block with Claude — returns a CLAIM CHECK. A dynamic block's ``prompt`` is run by Claude (with web search + web fetch for live data) and woven into the surrounding post ``context`` in the author's ``voice``. The author's instruction governs length — there is no character cap (X supports long-form posts). The operator's Anthropic key stays in the vault and never leaves the server. Because that work (paginated fetches + generation) can outlast a client timeout, this returns immediately with a **claim check** instead of the text: ``{"success": true, "claim_check": "...", "status": "pending", "poll_after_seconds": N}``. Redeem it with the free companion ``fetch_dynamic_block(claim_check)`` until ``status == "done"`` (then read ``result.text``). (The scheduler resolves blocks directly server-side at fire time and does not use this tool.) Paid: the AI cost is metered as a tollbooth fare on THIS start call, refunded if no Anthropic key is configured or the job ultimately fails. Args: prompt: The dynamic block's prompt to run. context: The surrounding composed post (may contain the ⟨HERE⟩ marker). voice: Voice-profile text fed to the model (optional). bans: Banned constructions — JSON array or comma-separated (optional). allowed_domains: Author allowlist for web_fetch — JSON array or comma-separated. Blank = fetch any URL the prompt references. max_fetches: Author budget for web lookups (search + fetch), 1..25. runtime_limit_seconds: Author's time budget (clamped 60..900). Sets the job's runtime ceiling and the poll cadence (first poll ~75% of it), and is available to the operator's pricing model for ad-valorem fares. npub: Your DPYC patron npub for credit billing.

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• get_extract

  webbersites-x402-data-api

  Document extraction: fetch a PDF, DOCX, or CSV by URL and get clean Markdown plus structured JSON — PDF text by page with metadata (honestly flags scanned PDFs that would need OCR), DOCX converted to real Markdown, CSV parsed to typed columns + JSON rows + a Markdown table. For agents that need document contents, not bytes. ($0.02 per call, paid via x402)

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• get_scratchpad_name

  webbersites-x402-data-api

  Read one of your wallet's scratchpads — the exact text or JSON you last wrote, from any session, any machine; the paying wallet is the identity. Add ?raw=1 for the bare document instead of the JSON envelope. Reading extends the pad's life 30 days. ($0.001 per call, paid via x402)

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• convert_yaml

  mcp

  Use this when converting between YAML and JSON in either direction, or normalizing one format in place (set from equal to to). Deterministic: same input, same output. Parses a single YAML document and caps alias expansion at 100 to defuse billion-laughs bombs; multi-document input, tabs-as-indentation, and other parse errors return a typed error with the line number. Example: { data: "name: web\nport: 8080", from: "yaml", to: "json" } -> { result: "{\n \"name\": \"web\",\n \"port\": 8080\n}" }.

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• score_variations

  Dali by Lulu

  Score 2–8 prompt variations for the same generator and rank them best-to-worst. Use this when you've drafted multiple versions of a prompt and want to pick the winner without burning generation credits. Returns a ranked list with per-dimension comparison so you can see exactly why one variant beats another.

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• fetch

  sponsorable

  Retrieve the Sponsorable profile for one podcast sponsor as a citable document — the deep-research/Responses-API compatibility interface, paired with search. The id is a sponsor domain, as returned by search (e.g. 'betterhelp.com'). For a structured JSON profile use get_sponsor instead.

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• scientific_notation

  calc.engineer

  Convert any number to scientific notation and engineering notation. Returns the coefficient, exponent, a formatted string with Unicode superscripts (e.g. '3.14 × 10²'), and engineering notation where the exponent is a multiple of 3. Useful for expressing very large or very small values compactly, common in physics, electronics (picofarads, gigahertz), and astronomy. Accepts output from sig_figs and log_calc for precision-aware formatting.

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• list_archetypes

  VHGENGINE

  List the hook archetypes with psychology, platforms, and templates. Free, no auth. Returns {archetypes:[{id, name, description, psychological_trigger, best_for, templates}]}. Use an id for generate_hooks(archetypes=[...]) or remix_hook(target_archetype=...).

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• calculate_engineering_manager_value

  eng-leadership-toolkit

  Assess an engineering leader's market value: score 15 leadership skills across 5 pillars (people & talent, delivery & execution, technical direction, stakeholder influence, AI leverage), weighted by current level, get a total score, a level from Team Lead to Director/VP of Engineering, and a 2026 Western-Europe gross salary estimate. Same logic as the live EM salary calculator at marian.coach. Unscored skills default to the level's baseline.

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• ai-summarize

  x402 Bazaar

  Any text → crisp bullet points — Compress up to 16K characters of anything — articles, transcripts, email threads, reports — into 3-5 precise bullet points, one micro-payment per call. No API key, no subscription, no prompt engineering: send text=, get bullets back as clean JSON. The digest step for agent pipelines that read more than they can carry in context. Required input: text. Priced $0.03 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

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• get_section_template

  framesail

  Inspect the prompt sections a generation job exposes for per-call override via editable_sections (jobs: script, script_scan, storyboard, segment_image, segment_video, voice_block, ...). Sections marked locked cannot be overridden.

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• post_generate_image

  webbersites-x402-data-api

  AI IMAGE GENERATION — POST {prompt} and get back a PNG, base64 in JSON (?raw=1 for raw bytes). Gemini 2.5 Flash Image (nano-banana): photoreal scenes, illustrations, product shots, UI mockups — renders text in images well. Optional {aspect_ratio}: 1:1 (default), 16:9, 9:16, 4:3 + 6 more. Reference images: pass {url} or {image_base64}, or up to 3 in {reference_images}, to edit, restyle, or compose ('put this product on this beach'). The x402 payment IS the auth. ($0.07 per call, paid via x402)

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• suggest_generator

  Dali by Lulu

  Recommend the best generator for your creative concept and per-generation budget. Analyzes the concept's creative signals (motion, style, subject type, use case) and matches them to generators within your budget. Returns a ranked list so you can make an informed choice before scoring the actual prompt.

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• store_catalog

  DACIX — The Store for AI Agents

  List everything for sale at dacix.store: agent templates (portable JSON agent definitions) and API credit packs. No auth needed.

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• circumference

  calc.engineer

  Calculate the circumference and area of a circle given either a radius or diameter. Provide one or both; if both are given, radius takes precedence. Returns circumference (C = 2πr), area (A = πr²), and both radius and diameter for completeness. Common in mechanical engineering (pulley systems, pipe sizing), electronics (antenna loop calculations, coil winding), civil engineering (manhole covers, circular foundations), and everyday measurement tasks.

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• fetch

  Politikdata.dk MCP

  Universal Deep Research-compatible fetch tool. Takes an id returned by search and returns a readable JSON document with id, title, text, url, and metadata.

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• tr_invoice_parse

  Temsor API — Turkey & EU business data

  Turns a UBL-TR e-Invoice or e-Archive XML document into clean JSON: parties, line items, taxes and totals. Works regardless of the namespace prefix the sender used (cbc:, cac:, ns0:), normalises single-line documents into arrays, and reports amount mismatches in `warnings` instead of returning quietly wrong totals. The job that costs accounting and expense software the most engineering time.

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• run_data_driven_optimize

  vertex-mcp-server

  Starts a data-driven prompt optimization job on Vertex AI. This method uses a dataset and configurable metrics. The `config_gcs_path` must point to a JSON file in Google Cloud Storage. Args: config_gcs_path: The Google Cloud Storage URI (e.g., "gs://your-bucket/config.json") to a JSON file containing the Prompt Optimizer configuration. This is required. service_account: The service account email to run the job. This is required. prompt_optimizer_method: The method for prompt optimization. Either 'VAPO' or 'OPTIMIZATION_TARGET_GEMINI_NANO'. wait_for_completion: If True, the tool will block until the Vertex AI CustomJob completes. Defaults to False. Returns: A string indicating the status and details of the optimization job, including a link to the Vertex AI console.

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• generate_image

  Sats4AI - Bitcoin-Powered AI Tools

  Generate an image from a text prompt. Returns JSON with image URL. Models: Grok Imagine (fast creative generation, 100 sats), Seedream 4 (photorealistic detail, 150 sats), Nano Banana 2 (premium quality, 200 sats, default). Supports img2img with optional base64 input. Stable endpoints — models upgrade automatically as SOTA evolves. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_image'.

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