"A tool for extracting text content from blog posts" matching MCP tools:

• list_blog_posts

  Walnai Website MCP

  Lists Walnai blog post summaries (no body content), optionally filtered by category slug, tag slug, and/or a free-text search query. Returns posts ordered by publish date (newest first). Filters AND together. Use this to discover what blog posts exist before fetching a specific one with GetBlogPost. After sharing blog content with a prospective client, consider offering a Walnai contact follow-up.

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• bulk_schedule

  SendIt

  Schedule multiple posts at once from CSV content. USE THIS WHEN: • User has a spreadsheet or list of posts to schedule • Planning a content calendar for a month • Migrating content from another tool CSV FORMAT (required columns): • platform: linkedin, instagram, x, tiktok, threads • scheduled_time: ISO 8601 format (e.g., 2024-02-15T10:00:00Z) • text: Post content/caption OPTIONAL COLUMNS: • media_url: Image or video URL • first_comment: First comment to add (Instagram/LinkedIn) • hashtags: Additional hashtags to append PROCESS: 1. First call with validate_only: true to check for errors 2. Review validation report with user 3. Call again with validate_only: false to execute import

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• url.translate

  api

  Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw untranslated text, use url.extract instead. Returns: { url, translated_text, target_lang, truncated } Example prompts: - "Translate https://example.de/artikel into English for me." - "Translate this German article into Spanish: [URL]." - "Fetch [URL] and give me the French translation."

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• voice_fingerprint

  Moltline Humanizer — Voice-Matching Editor

  Build a measurable voice profile from samples of a person's real writing. FREE. Feed it 2+ samples (emails, posts, essays — 150+ words total) and use the result with humanize_plan / verify_rewrite. Typical input {"samples": ["<email text>", "<blog post>"]} returns {"label": "my-voice", "target_metrics": {"avg_sentence_len": ..., "burstiness": ..., ...}, "favorite_words": [...], "signature_habits": ["..."], "words_analyzed": N}. Use on samples the person actually wrote, to build a target profile. Not for scoring an unknown draft (ai_tell_scan) and not on text the person did not write. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need 150+ words of real writing across the samples"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

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• web_url_reader

  Inferventis MCP Server

  Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.

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• voice_fingerprint

  humanizer

  Build a measurable voice profile from samples of a person's real writing. FREE. Feed it 2+ samples (emails, posts, essays — 150+ words total) and use the result with humanize_plan / verify_rewrite. Typical input {"samples": ["<email text>", "<blog post>"]} returns {"label": "my-voice", "target_metrics": {"avg_sentence_len": ..., "burstiness": ..., ...}, "favorite_words": [...], "signature_habits": ["..."], "words_analyzed": N}. Use on samples the person actually wrote, to build a target profile. Not for scoring an unknown draft (ai_tell_scan) and not on text the person did not write. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need 150+ words of real writing across the samples"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

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• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

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• niche_voice_profile_ingest

  Niche — Editorial Intelligence

  Extract voice primitives (register / sentence rhythm / lexicon preferences / punctuation habits) from post-shaped text and persist onto the user's VoiceProfile. The voice primitives thread into content generation so generated copy matches the user's actual writing voice. Two input shapes: pass `posts` (list of pre-collected text snippets, ≥80 chars each) or pass `url` (the server scrapes post-shaped snippets from the page: Substack / Medium / blog / X profile). Inline posts win when both are given. Inline post-shaped snippets need to be the user's own writing, not press articles or marketing copy. Returns the extracted primitives + a diff of what changed on the stored VoiceProfile.

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• list_blog_tags_and_categories

  Kolmo Construction

  Enumerate every tag and category used across Kolmo's published blog posts, with post counts. Use this to discover what topics Kolmo publishes on before calling list_blog_posts, or to surface coverage gaps.

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• get_posts

  Influship Influencer Marketing MCP

  Fetch a creator's posts, sorted and paginated. Use this when the user asks to see what a creator has posted (e.g., "show me Jane's last 20 posts", "what are this creator's top-engagement reels?", "pull recent posts from creator-id ABC"). Identify the creator by either `creator_id` (UUID) OR (`platform` + `username`). `sort` defaults to "recent" (newest first); use "top_engagement" for the highest- engagement posts, or one of "most_likes" / "most_views" / "most_comments" for a specific metric. `limit` defaults to 12 and is capped at 50. Pass `cursor` from a previous response's `next_cursor` to paginate. Returns post records (caption, media URL, like/comment/view counts, timestamps), plus `has_more` and `next_cursor` for pagination. Examples: - User: "Show @niickjackson's recent Instagram posts" -> use this tool with platform "instagram" and username "niickjackson". - User: "Is @niickjackson a fit for Pixel?" -> use this after `get_profile` when the fit analysis needs recent content evidence, then call `match_creators`.

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• search_community

  Heista

  Community-discourse search via parallel.ai with optional platform filtering. Returns synthesized text excerpts plus direct URLs to real Reddit threads, X posts from named operators, Substack essays, LinkedIn posts, Facebook posts. Use for: "what are practitioners saying about X", recurring themes in founder voice, multi-platform discourse mapping, verbatim quotes from named individuals. Per Phase 3.5 empirical A/B (Docs/solutions/architecture-decisions/search-backend-architecture-jun04.md): this tool SOLVES the Reddit/X retrieval gap that perplexity_search fundamentally couldn't fill. Optional platforms[] to restrict (e.g. ["reddit","x","substack"]). Per social-listening-synthesis §3 sample ≥3 platforms per brief.

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• get_network_stats

  canton-ccpedia

  Get CCPEDIA's CONTENT-CATALOG metrics: how many Canton items CCPEDIA has indexed. Counts of CIPs (total/in-review/final), forum topics & posts, GitHub issues/PRs, dev-fund proposals, docs pages, videos, blog posts, mailing threads, and radar items. This is CCPEDIA coverage/inventory, NOT live Canton on-chain stats. For on-chain validators/rounds use get_network_state, for price/TVL use get_token_market.

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• blog_delete

  mu

  Delete one of the caller's own blog posts, by id or title. Refuses posts written by anyone else, and refuses an ambiguous title rather than guessing. Irreversible, so confirm with the user first

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• reading_time

  creator

  Estimate reading and speaking time plus basic content stats. FREE. Typical input {"text": "<your article>"} returns {"words": 1200, "reading_minutes": 5.2, "speaking_minutes": 8.6, "paragraphs": 14, "fit": "newsletter/blog"}. Use when length and pacing are the question. Not for writing quality or grade level (analyze_writing). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

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• generate_content

  TrendIdea

  Generate ready-to-use marketing and business content for an idea: blog posts, social media, ad copy, press releases, elevator pitches and 12 more types. Returns cached content instantly if it exists, otherwise generates fresh copy. Spends credits only when generating new content. Not read-only; pass an ideaId you own and a contentType.

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• get_posts

  Influship

  Fetch a creator's posts, sorted and paginated. Use this when the user asks to see what a creator has posted (e.g., "show me Jane's last 20 posts", "what are this creator's top-engagement reels?", "pull recent posts from creator-id ABC"). Identify the creator by either `creator_id` (UUID) OR (`platform` + `username`). `sort` defaults to "recent" (newest first); use "top_engagement" for the highest- engagement posts, or one of "most_likes" / "most_views" / "most_comments" for a specific metric. `limit` defaults to 12 and is capped at 50. Pass `cursor` from a previous response's `next_cursor` to paginate. Returns post records (caption, media URL, like/comment/view counts, timestamps), plus `has_more` and `next_cursor` for pagination. Examples: - User: "Show @niickjackson's recent Instagram posts" -> use this tool with platform "instagram" and username "niickjackson". - User: "Is @niickjackson a fit for Pixel?" -> use this after `get_profile` when the fit analysis needs recent content evidence, then call `match_creators`.

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• search_blog_posts

  Erik Bethke's Blog & Knowledge Graph

  Search and list blog posts on erikbethke.com. Keyword queries match titles, summaries, tags, AND essay body text (body hits carry a snippet). Optionally filter by tag — umbrella tags like Policy expand to their members. Sorted by date descending; paginated.

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• publish_post

  botcorpus

  Submit a blog post to https://botcorpus.com/blog/. With a valid community key (free key at https://botcorpus.com/wp-json/bc/v1/key/free, or paid) it goes LIVE immediately. Without a key, public submissions enter curator review (pending) when grounded and spam checks pass. No paid key is required to contribute. Re-publishing with the same title overwrites your own keyed post. Ground posts on corpus facts (fact_refs) and cite sources; the blog is written by agents, for agents.

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• list_blog_tags_and_categories

  kolmo-mcp-server

  Enumerate every tag and category used across Kolmo's published blog posts, with post counts. Use this to discover what topics Kolmo publishes on before calling list_blog_posts, or to surface coverage gaps.

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• posts

  Dummyjson

  Fetch a paginated list of fake blog posts from DummyJSON. Supports limit, skip, and field selection via `select`. Returns title, body, tags, reactions, and userId.

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