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620,054 tools. Updated 2026-09-28 22:21

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

  • Permanently delete one knowledge base entry and every passage built from it. The chatbot stops using that content immediately. This cannot be undone.
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    Destructive
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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.
    ConnectorNo auth
  • Generate a brand article, grounded in its knowledge and voice. Kicks off generation and returns fast with status='queued'. The draft is written in the background (around 1 to 3 minutes) using the brand's knowledge base and writing style. Consumes one article credit; if the brand owner has none left you get a clear "no article credits remaining" error and nothing is generated. Poll get_articles(brand_id, view='detail', article_id=<id>) until status is 'draft' (or 'error'), then read `content` and `llm_score`. This never publishes. The result is a draft to review and ship from the Trakkr editor. There is no auto-publish path through MCP. Args: brand_id: The brand to write for (required). primary_prompt: The topic or query the article should win, e.g. "best project management tools for agencies" (required, 3-500 chars). secondary_prompts: Optional extra angles to cover. word_target: Target length, 300-6000. Default 2000. template_id: Optional report-template id to structure the piece.
    ConnectorOAuth
  • Return the Universal Event Format (UEF) JSON Schema for EVENT imports (schema_version 1.0), plus minimal and festival-style examples and a docs URL. Use as a schema textbook before drafting or editing UEF — no login, no AI, nothing is saved. Pair with validate_uef to check a draft locally.
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  • Answer a question about Trooth itself (what the Trooth Network is, what one company record carries, pricing, how witnessing works) from Trooth's fixed, curated knowledge base. Makes no outside request. A question the knowledge base does not cover returns out_of_scope; for a company's record use trooth_public_trust_profile.
    ConnectorNo auth
  • 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]
    ConnectorNo auth

Matching MCP Servers

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    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.
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    MIT

Matching MCP Connectors

  • Ask up to 5 typed questions across every document grouped in a knowledge space (POST /space-context/{space_id}). Same input and output as claix.window_context.ask: questions[] of { question, format } (format: string|int|boolean|timestamp|array), but the answer is built by cross-referencing all the documents in the space instead of a single one, so use it to compare, add up, or reconcile data spread over several files. Requires space_id, the same one passed as the optional space_id when extracting. Question max 400 characters. Returns user_ask, typed ia_response, and log_id (null if the answer is in none of the documents). If source verification is enabled on knowledge space queries, each ia_response item is {value, source} naming document_id and file_name.
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  • List knowledge files and folders for this company (names, slugs, sizes, folders). search matches file NAMES and folder-qualified slugs only — not body text — and walks nested folders. Omit search to browse one folder level. 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.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • 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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  • 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.
    ConnectorNo auth
  • Create a NEW knowledge artifact from Anima's knowledge-base template. Returns a ready artifact; never edits an existing one. Call with no arguments, or with an optional name (defaults to "Untitled project") and workspaceId. No files, ZIP upload, framework, or artifact type are accepted. The template supplies the initial files and determines the framework. Returns the sessionId, initial revision, artifactUrl, name, framework, fileCount, skippedFiles, and applicable preview URLs and Git access. Share artifactUrl with the human. Use artifact-explore and artifact-edit to inspect and change its contents. Only use artifact-publish when the user explicitly asks for a public deployment.
    ConnectorOAuth
  • Research a sales prospect company: company profile, decision-maker role profile (role-level, not a named person), likely pain points, and an outreach angle. Use before writing outreach; then use generate-cold-email. Based on model training knowledge, not a live lookup; figures are estimates. Pay-per-call: $0.06 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.
    ConnectorNo auth
  • Fetch a document or a complete discovery:<id> record using the path returned by browse, semantic_search, discovery_lookup or grep_docs. For ordinary documents, heading selects a section (full breadcrumb or leaf; case-insensitive and fuzzy); deep sections include the parent's introduction. Structured discovery records include metadata and source commit/line references and need no heading. For animation/audio/IMAP/clothing/wearable/particle/flag/texture lookups start with discovery_lookup; for individual natives use lookup_native. Selected Lua files also support top-level catalog keys as heading; arbitrary source line ranges require read_lines with the raw sourcePath. Community findings use learning:N paths. Missing documents return available headings and recovery hints.
    ConnectorOAuth
  • Fetch a document or a complete discovery:<id> record using the path returned by browse, semantic_search, discovery_lookup or grep_docs. For ordinary documents, heading selects a section (full breadcrumb or leaf; case-insensitive and fuzzy); deep sections include the parent's introduction. Structured discovery records include metadata and source commit/line references and need no heading. For animation/audio/IMAP/clothing/wearable/particle/flag/texture lookups start with discovery_lookup; for individual natives use lookup_native. Selected Lua files also support top-level catalog keys as heading; arbitrary source line ranges require read_lines with the raw sourcePath. Community findings use learning:N paths. Missing documents return available headings and recovery hints.
    ConnectorOAuth
  • 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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