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524,649 tools. Updated 2026-09-06 16:29

"Using Knowledge Base Files for Drafting, Writing, and Editing Documents" matching MCP tools:

  • List canvas documents in a workflow run. Canvas documents are collaborative markdown files that multiple agents can edit in parallel. Omit run_id to list documents across all runs. Read-only. Use read_canvas for content and get_canvas_toc for section IDs. There is no get_run; list_runs returns run records. Pass playbook_id as the UUID or GUID of the playbook this call should target.
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  • Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-based check on pasted listing copy (title, bullets, description). Returns a compliance health score, an AI-readability score, and a combined AI Recommendation Readiness Score (compliance * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.
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  • Claim files before an agent edits them so other agents do not patch the same SwiftUI/App files concurrently. Claims are local, short-lived, and stored in .axint/coordination/claims.json. Use: use before editing shared files in parallel-agent work; release claims when done. Inputs: agentId and files identify the claim; ttlMinutes bounds ownership and force overrides stale claims. Effects: writes local coordination claims under .axint/coordination; no network.
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  • List knowledge files and folders for this company (names, slugs, sizes, folders). search matches file NAMES only — not body text. Read a body with read_knowledge by slug. Always-on files live in canon/ (injected into chat and skill gen within a size budget); everything else is on-demand via read_knowledge. Use when discovering what knowledge exists before reading a file.
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  • Fast design check over the UI files you just changed. Returns issues with severity, category and file:line, in about 10 seconds. Cheap: five quick checks cost one review credit, so a whole editing session spends a fraction of one review. Use this one CONSTANTLY: after writing or editing a component, before committing, whenever you want to know if what you just wrote is sound. You do not need to ask the user first. It returns no score and no ready-made patch: fix the issues yourself in the files you already have open. When the user wants a score to keep, a patch to apply, or a review to quote, use review_files instead.
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  • Deep knowledge-base compliance audit (async; 2 credits). Produces a thorough, written risk report covering prohibited words, IP, category mismatches, GPSR and more, backed by a private 15-year compliance knowledge base. Use this when you need a complete, actionable compliance report. Do NOT use it for a quick pre-publish check - use compliance_check for that. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: listing title/bullets/description (required). marketplace: marketplace code (default US). category: optional category hint. lang: zh or en (default en). images: optional list of up to 5 data:image base64 strings, each < 4MB.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    A knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.
    1
    MIT

Matching MCP Connectors

  • A searchable knowledge base your assistant reads and writes.

  • AI-powered knowledge base for Double - Thank You with semantic search and question answering.

  • LAST step after deploy + assignment (Plus/Pro). ONLY real facts in the knowledge — never invented prices/hours/addresses. Enables/configures the chatbot on a deployed project; the widget is injected server-side, no HTML changes. Partial update, except `knowledge` REPLACES the whole text — editing an existing bot? get_chatbot first. Point contactFormUrl at the site's Dplooy Form URL when one exists.
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  • Read-only full-text search over this tenant’s PUBLISHED knowledge-base articles (playbooks, policies, how-tos); unpublished drafts are never returned and the tenant is fixed by your credentials. Reach for this FIRST to ground an answer in official, tenant-specific guidance before replying to a customer or drafting a resolution. Returns articles ranked by relevance, each with its id, title, a highlighted snippet, and updatedAt: search uses AND semantics, so every word in the query must match. [free]
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  • Add policy/reference text to a domain's knowledge base. The text is chunked and embedded; explanations for future decisions in this domain will cite it. Creating a new domain claims it for your account (plan limits apply). The built-in demo domains are read-only — ingest into your own domain instead. On team plans, only the domain admin (the member who created the domain, or the subscription owner) can add documents. Args: domain: Domain to ingest into (existing or new). text: The policy or reference text. source: Optional source name shown in the document list.
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  • List merchant knowledge base documents (uploads + scraped URLs). Use reviewStatus/syncable to see what is ready for agent retrieval. Pass `updatedAfter` for delta sync. Reviewed content is fetched via GET /v6/merchant/ai/knowledge/{id}/content; source audit text is available with ?variant=extracted.
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  • Search the Klever VM knowledge base for smart contract development context. Returns structured JSON with matching entries, scores, and pagination. Use this for precise filtering by type or tags; use search_documentation for human-readable "how do I..." answers.
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  • Get Lenny Zeltser's expert writing guidelines for security reports and assessments. Provides guidance on tone, structure, clarity, executive summaries, and avoiding common writing mistakes. Includes rating-sheet items (the four lens sheets: structure, look, words, tone) as concrete reference points for grounded feedback. Works for any security document. This server never requests your documents and instructs your AI to keep them local—guidelines flow to your AI for local analysis. Note: For incident response reports specifically, use the ir_* tools which provide deeper section-by-section review criteria.
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  • Analyze multiple geometry files in a single batch request. Submit up to 10 files, receive a single quote, pay once, and get structured metadata for all files. Supports mixed formats. Read-only analysis — does not modify, convert, or repair files. Payment is required via x402 (USDC on Base) or card via MPP (Stripe). If no payment is provided, the response includes the total price and per-file breakdown. Retry with the payment argument containing "transaction", "network", and "priceToken". Partial success: if some files fail processing, you still receive results for the files that succeeded. Privacy policy: https://caliper.fit/privacy
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  • Creates a PowerPoint presentation (.pptx) at `path` from an array of slides, each {title, bullets:[…]}. Requires confirm=true — called without it, returns a preview of the deck instead of writing the file. The path must be somewhere Local MCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path, slides}.
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  • Keyword/full-text search over the Canton Network knowledge base (CIPs, Canton/Daml/Splice docs, forum, mailing lists, whitepapers, grant proposals, blog, YouTube, GitHub). Canton-specific. Do NOT use for other blockchains, the web, or local files. Use this for exact-term/name lookups; use semantic_search instead for conceptual or 'how does X work' questions, and get_doc to read a full page once you have its id. NOTE: forum matches cover the topic TITLE and the FIRST POST only; a term that appears only inside a forum reply will not surface here, so use semantic_search (which indexes all forum post bodies) when a forum discussion is likely and this returns nothing.
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  • Add a text document to a knowledge base you own by pasting its content. It ingests asynchronously (parse → structure-aware chunk → embed with the KB’s bound key). Content is de-duplicated by hash: re-adding the exact same text is a no-op (the response `deduped` flag is true, no second document). Requires the KB to have an embedding key bound, or the document will not ingest. For files (PDF/markdown/docx), use the web Knowledge Base uploader.
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  • Use this when a person funding one canonical Base bounty needs Base USDC. Prepare a first-party MoonPay handoff only; never request card data or identity documents in ChatGPT, never treat a MoonPay purchase as bounty funding, and require a separate canonical funding authorization.
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  • Auto-detect geometry file format and extract metadata statistics. Accepts a 3D geometry file via URL or base64 and returns structured metadata: bounding boxes, triangle counts, manifold analysis, point cloud statistics, and more. This is a read-only analysis tool — it does not perform mesh repair, format conversion, or boolean operations. Supported formats: STL, OBJ, PLY, PCD, LAS/LAZ, glTF/GLB. STEP and IGES support is planned. Provide either file_url (preferred for large files) or file_b64 (for files under 200KB). Include filename for format detection if using file_b64. When using file_url, the format is detected from the URL path extension; filename is not required. Files under 150KB are free. Larger files cost $0.02/MB via x402 (USDC on Base) or card via MPP (Stripe; adds $0.35 surcharge). If payment is required, the response includes payment details. Retry with the payment argument containing the payment proof. Privacy policy: https://caliper.fit/privacy
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  • Add a local file's content to a knowledge base (txt/md/html/pdf/docx). **This MCP runs on the platform server and cannot read paths on YOUR machine.** For text files, read the content yourself and call `add_knowledge_text`; for binaries (pdf/docx), upload via the console, or curl `/knowledge-bases/{name}/documents/upload`. **To ingest a whole folder, zip it and send that one endpoint** — subdirectories are walked, md/txt/pdf/html/docx are ingested one by one, and document names use the in-archive relative path (`2025/rates.pdf` vs `2026/rates.pdf` therefore never collide). Images, `.DS_Store` etc. inside the zip are ignored; if the archive contains an encrypted, corrupt or abnormally high-compression file, **the whole archive is rejected** naming the offending entry.
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  • Export an existing image set as icons, free: every subject at the base size you name and at every density the web, iOS, Android and Flutter need, laid out as each expects (web files with @2x and @3x and an srcset line, an iOS asset catalog with one imageset per icon, Android res/ density buckets, Flutter asset folders with the pubspec lines), plus a viewer and a ledger. One export per call: one batch of a set (a set that grew over several calls is exported batch by batch; the trees merge by folder) at one base size (a second size is a second call; names carry the size, so two sizes never collide). The icons come from the set's full-resolution source, so an icon is the set as it is currently delivered, scaled: its size, canvas, sizing and margin all carry (edit_image_set changes them), while no pixel comes from a delivered image. Files up to 3x the 1x size (4x on Android) are always delivered; where a density would enlarge a subject past its source pixels the ledger says so per tree ("soft": some blur) and by how much, never withholding a file. Large base sizes cost real megabytes for files the ledger will mark soft; 48 to 128 is the usual range. How large a set's icons can be was fixed when it was generated, by its subject count: every generation result and list_recent_generations state the batch's crisp base size, and the ledger says where a larger size went past the source. Not available for illustrations, or for sets generated before editing existed (they have no source).
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  • Read the actual changes in a commit or a branch range. Pass `sha` for one commit against its first parent, or `base`+`head` for everything head adds since the merge base (what a PR proposes). Returns {files:[{path, oldPath?, status, additions, deletions, binary, patch, patchTruncated}], stats, truncated}. Patch text is byte-capped; set include_patch=false for a files-changed summary only.
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