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598,848 tools. Updated 2026-09-22 04:18

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

  • Create a follow-up tied to a person — a to-do for the relationship (e.g. 'send the deck', 'intro to Ana'). In Team context, pass team_id and assigned_to to create it for any teammate against a Team-visible relationship. RECOMMENDED: include both assigned_to and remind_at whenever ownership and timing are known; neither is required. @mention a name in `content` to link someone in the relationship owner's network. Read open ones via get_person (relationship.actions); close them with complete_action or edit them with update_action.
    ConnectorNo auth
  • Permanently delete one knowledge base entry and every passage built from it. The chatbot stops using that content immediately. This cannot be undone.
    Connector
    Destructive
    OAuth
  • 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 }
    ConnectorNo auth
  • Create a new Google Doc in the user's Drive. The content is inserted as plain text — Markdown is NOT rendered, so headings and bold written here arrive as literal ** and # characters. To produce a formatted document, create it and then call format_document, which converts Markdown into real Google Docs styling.
    ConnectorOAuth
  • Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides 10 validation tools for direct response copywriting, including blind critique, emotional stress test, semantic memory search, and more.
    2 npm
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    This MCP server enables natural, humanized control of a real Chrome browser from Cursor agents, simulating natural mouse paths, typing cadence, and scroll pauses for click, type, scroll, and navigate actions via a Chrome extension.
    -

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.

  • Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).
    ConnectorNo auth
  • Create a document and return its public URL. Re-using an existing name adds a new immutable version. Omit the name to get a random one. For content larger than ~10KB or any file already on disk, do NOT inline it here - run `docbin push <file> [--name <doc>]` in your shell instead (set DOCBIN_TOKEN to an API key from https://docbin.app/settings/keys). Inlining large content streams it through the model token-by-token and will time out.
    ConnectorNo auth
  • Create a document and return its public URL. Re-using an existing name adds a new immutable version. Omit the name to get a random one. For content larger than ~10KB or any file already on disk, do NOT inline it here - run `docbin push <file> [--name <doc>]` in your shell instead (set DOCBIN_TOKEN to an API key from https://docbin.app/settings/keys). Inlining large content streams it through the model token-by-token and will time out.
    ConnectorNo auth
  • Read an owned completed exam using attemptId, or safely check a submitted exam using submissionId. Supply exactly one. Pending or partial grading returns status only, never unfinished scores or feedback. Honors practice resets and cannot dispatch scoring, finalize submissions or retrieve active exam content.
    ConnectorNo auth
  • 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.
    ConnectorOAuth
  • 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.
    ConnectorNo auth
  • Get the full raw text/HTML content of an SEC filing by its internal filing ID. Returns the complete filing document which can be very large (10-K filings can be 1MB+). Use the maxLength parameter to truncate content for previews. The response includes company_name, form_type, filing_date, cik, and accession_number alongside the content. Find filing IDs using search_sec_filings first.
    ConnectorNo auth
  • Create or update a dev doc (non-destructive). action: create | update. Deletion is a separate tool (delete_dev_doc). (consolidated surface — same handlers as the legacy tools) Required per action — create: title, content | update: content.
    ConnectorNo auth
  • Returns Mastra (Bun) and LangGraph (Python) patterns for AI agent workflows. Call this BEFORE create_workflow / update_draft when building chatbots, tool-using agents, or multi-step LLM flows. Do not hand-roll custom agent loops — use the preinstalled frameworks.
    ConnectorNo auth
  • Generate a single-image post (postType IMAGE) using PostNitro's AI engine. Returns an embedPostId to track progress. The content is AI-generated from your aiGeneration prompt — you do NOT provide slides. (To supply your own image content instead, use postnitro_import_image.) templateId, brandId, presetId, and responseType are optional if you've saved defaults via postnitro_set_defaults. Otherwise provide them here (use the list tools to find valid IDs). Use postnitro_check_status to monitor, then postnitro_get_output to retrieve. Or use postnitro_generate_image_and_wait for one step.
    ConnectorAPI key
  • Use this when the user wants to create a markdown document/page in a Space from provided content. State-changing: creates the document directly after authorization. Requires numeric space_id, title, and markdown content. Use create-space-item for folders or external links.
    ConnectorOAuth
  • Create a Whimsical document. Markdown content — headings, lists, links, code blocks. For diagrams, boards, or folders, use `create`.
    ConnectorOAuth
  • Get Lenny Zeltser's Vuln 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 vulnerability notes and instructs your AI to keep them local—the brief template and guidelines flow to your AI for local analysis.
    ConnectorNo auth
  • Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.
    ConnectorNo auth
  • Return the connected user's ProductClank credit balance and plan. Use before launching a campaign to confirm they have enough credits (a content campaign costs 1000; a reply or quote-post boost 200; likes/reposts 300; a discovery campaign 10 to create + 12/post discovered).
    ConnectorNo auth