"Using Copywriting Frameworks to Create Relatable and Humanized Content" matching MCP tools:

• list-copywriting-frameworks

  xpay✦ Marketing Collection

  Get a list of available copywriting frameworks and their descriptions for a specific social media network

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• add_text

  cnvs.app

  Create a NEW text node, or update an existing one (pass the same `id` to overwrite content/position in place — preferred over creating a duplicate). Supports cnvs markup (Markdown-ish) and Mermaid diagrams in the content. When using Mermaid, the ENTIRE content of this text node must be a single Mermaid diagram (one ```mermaid fenced block and nothing else — no heading, no prose before or after). If you need prose + a diagram, create two separate text nodes. `postit: true` renders as a yellow sticky; `diagram: true` renders as a framed box (2px border in the text colour, centred text) — the two are mutually exclusive. Coordinates are in board-world pixels, +x right, +y DOWN; pick a spot that does not overlap existing items (check `get_preview` first). Default width auto-fits content up to ~320 px; pass `width` for explicit wrapping (160–4096). Keep content under 100 000 chars.

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• get_agent_registry

  DC Hub — Data Center & Power Intelligence

  Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platforms DC Hub supports and how to connect them. Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime / backup health (use get_backup_status).

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• get_agent_registry

  DC Hub — Data Center Intelligence MCP Server

  Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platforms DC Hub supports and how to connect them. Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime / backup health (use get_backup_status).

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• get_integration_guide

  TestMyVibes

  Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.

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• unulu_create_site

  unulu

  Create a link-in-bio site with a name, bio, and links. Returns a live URL on unu.lu that expires in 1 hour unless claimed. Do NOT call until you have at least a name and one link from the user — gather real content first, never create with placeholder or empty content. If the user provides a handle (e.g. '_guy.a' for Instagram), construct the full URL yourself — do not ask them to paste it. When feasible, offer to find all public links for the person. Before calling: tell the user they can choose a skin on the preview page for the overall aesthetic; ask permission before adding emoji leading_icons to decorate links (for not-well-known social URLs). The response includes an assistant_message with the site URL and claim details — present these to the user. Persist claim_token and claim_code_short for subsequent updates — never ask the user for them back in the same conversation. Never create a duplicate site; always update the existing one. After creation: tell the user they can pick a custom handle when they claim; share the preview URL in a copy-paste block; offer to refine bio, links, or ordering. Keep iteration fast — apply changes immediately, don't re-confirm minor edits.

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• upload

  Fast.io

  File upload: streaming (one-shot stream-upload — DEFAULT for unknown/generated content), chunked (create-session → POST /blob → chunk → finalize — only when filesize is known exactly), web URL import, and batch (multi-small-file). Call action='describe' for the full action/param reference. Side effects: finalize/stream/stream-upload/web-import/batch create files and consume storage credits. Same-name uploads to a folder OVERWRITE the existing node in place (preserved as a recoverable version). BINARY: `content` is text-only (writes verbatim UTF-8); for binary use `content_base64` (server-decoded) or POST /blob + `blob_id`. UPLOAD STRATEGY (read top-to-bottom, pick the FIRST that matches): (1) Have a URL? → `web-import` (single call). (2) Have content but DON'T know exact size, OR generating/transforming content first? → `stream-upload` (single call, auto-finalizes, NO filesize required, size auto-detected from the bytes). (3) Have a file with KNOWN exact byte count? → `create-session` + `chunk`(s) + `finalize`. **filesize must match the bytes you actually upload — mismatch causes finalize to fail with code 10522 and you must cancel the session.** (4) Multiple small files (≤4 MB each, ≤200 total) into one folder? → `batch`. DEFAULT to `stream-upload` unless you are sure of the exact byte count. Do NOT guess `filesize` for generated content — use `stream-upload` instead. max_size is a hard ceiling that aborts mid-transfer — always overestimate or omit (server uses plan limit).

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• ApolloDocsRead

  GraphOS MCP Tools

  Fetches the complete markdown content of an Apollo documentation page using its slug, or everything after https://apollographql.com/docs. Documentation slugs can be obtained from the SearchDocs tool results. Use this after ApolloDocsSearch to read full pages rather than just excerpts. Content will be given in chunks with the totalCount field specifying the total number of chunks. Start with a chunkIndex of 0 and fetch each chunk.

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• atlas_create_jd

  CareerProof MCP

  Create a job description from text within a hiring context. Returns a JD object with 'id' and stored content. Use JD content as jd_text in atlas_fit_match, atlas_fit_rank, atlas_start_jd_fit_batch, and atlas_start_jd_analysis. Requires context_id from atlas_create_context or atlas_list_contexts. Free.

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• ceevee_get_version

  CareerProof MCP

  Get detailed CV version including structured content, sections, word count, and audience profile. cv_version_id from ceevee_upload_cv or ceevee_list_versions. Use to inspect CV content before running analysis tools. Free.

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• tech_fingerprint

  ContrastAPI

  Detect website technology stack: CMS, frameworks, CDN, analytics tools, web servers, languages (via HTTP headers + HTML analysis). Use for passive reconnaissance; for full audit use audit_domain. Free: 30/hr, Pro: 500/hr. Returns {technologies: [{name, category, confidence%, version}]}.

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• recommend_framework

  jeda-ai

  Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }

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• iliad_web_research_crawl

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Crawl a domain and scrape multiple pages using Firecrawl. Returns array of scraped pages with markdown content. Best for site mapping, content audits, or bulk research. Requires Authorization: Bearer <api_key>. Pricing: $0.25 standard, $0.12 lite per page crawled (up to 100 pages per request). Use iliad_web_research for single-page scrapes.

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• extract

  Sofya

  Fetch a webpage and extract specific information using AI. Use this when you need structured data from a page (e.g. pricing, specs, contact info) rather than the raw content. Costs 5 credits. If the page has no usable text (empty or JavaScript-rendered body), the model is NOT called: content comes back empty and usage.low_content is true, rather than a fabricated answer. Gate on usage.low_content (or usage.content_chars) to detect pages you cannot ground on. Returns: content (the extracted text), url, credits_used, credits_remaining, usage (input_tokens, output_tokens, content_chars, low_content). Args: url: The URL to extract from prompt: What information to extract (e.g. "list all pricing tiers with features" or "extract the author name and publication date")

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• malware_get_frameworks

  website-search

  Get Lenny Zeltser's Malware frameworks (primary frameworks the brief structurally derives from) plus optional sibling frames (adjacent frameworks that aren't the structural backbone). Pass `include_siblings: false` to skip sibling blocks. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• viddler_videos_register

  Viddler

  Step 2 of uploading a video: after the file has been PUT to the uploadUrl, call this with the uploadId to create the video record. Returns the video (muxPlaybackId will be 'pending'). Poll viddler_videos_get until muxPlaybackId resolves — processing usually takes under a minute. If title/description are omitted, AI generates them from the video content.

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• get_sample_data

  Senzing

  Get real sample data from CORD (Collections Of Relatable Data) datasets. Use dataset='list' to discover available datasets, source='list' to see vendors within a dataset. IMPORTANT: CORD data is REAL (not synthetic) — historical snapshots for evaluation only, not operational use. Always inform the user of this. When records are returned, a 'download_url' in the citation provides a way to fetch the full dataset. In HTTP mode this is a URL the user (or an automation) can curl; in stdio mode it is a `sz-mcp-coworker extract` command the user runs locally to pull bytes from the embedded bundle. Always present the fetch instruction to the user. Do NOT download it yourself or dump raw records into the conversation — the inline records are a small preview of the data shape. Asset IDs are not stable across versions. If a previously-known ID fails to extract, call this tool again to obtain the current ID.

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• create_shareable_paste

  Toolora

  Use this tool when the user wants to share content as a link, or when your output is too long to share directly in chat. Triggers: 'share this as a link', 'give me a URL for this', 'create a paste', 'make this shareable', 'send this to someone'. Stores the content and returns a public URL (toolora.dev/p/[id]). Proactively use when you produce a long report, code file, or analysis that the user will want to send to someone else. Content expires after 7 days by default.

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• aidefense_get_framework_alignment

  website-search

  Get AI Defense Matrix cross-mappings to nine external frameworks: NIST IR 8596, CSA AI Controls Matrix, ISO 42001, Google SAIF, SANS Critical AI Security Guidelines, MITRE ATLAS, OWASP AI Exchange, OWASP LLM Top 10, OWASP Agentic Security Top 10. Each row maps an AI asset class to how that framework applies. Each returned framework also carries a 'concepts' array of the structured IDs (MITRE ATLAS techniques, OWASP risks, ISO clauses) the matrix references for it. Supports a 'buyer' archetype shortcut to scope to the frameworks a particular buyer will care about. Use to translate between framework vocabularies. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.

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• intel_stack

  TunnelMind Data API

  Fetches up to 32KB of the domain's HTML and response headers from the edge, then fingerprints the content for known CMS platforms, JavaScript frameworks, CDN providers, and analytics tools. Detection is based on meta generator tags, script src patterns, response headers, and cookie names. Use this tool when: - You need to know what CMS (WordPress, Drupal, Shopify) a site runs. - You are assessing a domain's infrastructure before a security review. - You want to identify analytics or marketing tools a site embeds. Do NOT use this tool when: - You want HTTP headers and security posture — use `intel_http` instead. - You want tracker database classification — use `get_domain` instead. - You need robots.txt AI policy — use `intel_robots` instead. Inputs: - `domain` (query, required): Domain to fingerprint. Returns: - `cms`: detected content management system, or null. - `frameworks`: JavaScript/backend frameworks detected. - `cdn`: CDN provider detected, or null. - `analytics`: analytics and tracking tools detected. - `meta_generators`: raw meta generator tag values. Cost: - Free. No API key required. Latency: - Typical: 2-4s (HTML fetch), p99: 7s.

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