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701,049 tools. Updated 2026-10-25 10:02

"A local knowledge base" matching MCP tools:

  • Attaches a knowledge base to an AGENT flow's draft, the same way picking it in the agent editor does: a docs knowledge base becomes a search tool the model calls when a question needs it; a tabular one also puts its tables in the prompt and adds a query tool. The flow needs a system prompt (scaffold it with one). Attaching one that's already there changes nothing. Do it BEFORE workbench_flows_publish: a published version is what interfaces and schedules run, so attach, try it with workbench_flows_run, then publish — and if something already pins an older version (an interface grant), re-grant the new version. Tell the model in its system prompt what the knowledge base holds and when to search it. May return `needs_confirmation`.
    ConnectorNo auth
  • Attaches a knowledge base to an AGENT flow's draft, the same way picking it in the agent editor does: a docs knowledge base becomes a search tool the model calls when a question needs it; a tabular one also puts its tables in the prompt and adds a query tool. The flow needs a system prompt (scaffold it with one). Attaching one that's already there changes nothing. Do it BEFORE workbench_flows_publish: a published version is what interfaces and schedules run, so attach, try it with workbench_flows_run, then publish — and if something already pins an older version (an interface grant), re-grant the new version. Tell the model in its system prompt what the knowledge base holds and when to search it. May return `needs_confirmation`.
    ConnectorNo auth
  • `knowledge_delete` — Scripe knowledge (the knowledge base and long-form sources: search and read documents, add text / files / links, upload sources to draft from): delete and replace operations. Deletes or replaces data. Mostly two-phase: the first call returns a proposal and a `confirmationToken` — show it, get an explicit yes, then repeat the identical call with the token. Call knowledge_delete({ action: "<operation>", arguments: { …its arguments } }); describe_actions has an operation's full docs when its signature is not enough. - delete_knowledge_doc(projectId: string, documentId: string, confirmationToken?: string) — PERMANENTLY delete a Scripe knowledge-base document. - delete_source(sourceId: string, confirmationToken?: string) — PERMANENTLY delete a Scripe source (a transcribed long-form input) — TWO-PHASE by design.
    Connector
    Destructive
    OAuth
  • 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
  • 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

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  • `knowledge_read` — Scripe knowledge (the knowledge base and long-form sources: search and read documents, add text / files / links, upload sources to draft from): read operations. Call knowledge_read({ action: "<operation>", arguments: { …its arguments } }); describe_actions has an operation's full docs when its signature is not enough. - get_source(sourceId: string) — one Scripe source (a transcribed long-form input for LinkedIn drafting) by id. - list_knowledge(projectId?: string, folderId?: string, cursor?: string, limit?: int) — the Scripe knowledge-base documents visible to a project, newest first: the project's own documents plus workspace-wide documents (0 assignments = visible to all projects). - get_knowledge_doc(projectId?: string, documentId: string) — one Scripe knowledge document: metadata, processing status, tags, the chunk count, and a text preview capped at 2,000 characters — the full body is never returned over the API. - list_sources(projectId?: string, cursor?: string, limit?: int) — a Scripe project's sources (transcribed long-form inputs for LinkedIn drafting), newest first: name, status, duration, and a 2 KB transcript preview per row. - search_knowledge(query: string, projectId?: string, folderId?: string, documentIds?: string[], limit?: int) — search a Scripe profile's knowledge base by MEANING: the passages most relevant to a topic, from uploaded documents, synced Drive / GitHub files, Granola meeting notes and the profile's own post history. - read_knowledge_document(documentId: string, projectId?: string, maxCharacters?: int) — read ONE Scripe knowledge-base document in full (a Granola meeting, an uploaded file, a synced Drive or GitHub file), in order, up to `maxCharacters` (default 12,000, at most 24,000). - get_knowledge_ingest(jobId: string) — whether something sent to the Scripe knowledge base with `add_to_knowledge_base` is in yet.
    ConnectorOAuth
  • Get the current knowledge-base snapshot/version id. Pin this kb_snapshot for reproducibility: the same query against the same kb_snapshot returns identical results.
    ConnectorNo auth
  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
    ConnectorNo auth
  • Train the AI agent by adding a knowledge source. type='url' crawls a website (up to 50 pages, fewer when the workspace knowledge-base quota is nearly full); type='qa' stores a single question/answer pair. Ingestion is asynchronous, the source starts as PENDING; poll `list_knowledge` for READY status.
    ConnectorNo auth
  • Semantic search over the workspace knowledge base. Returns the most relevant chunks (with source document title and similarity score) for a query. Only searches documents that have finished training (status READY).
    ConnectorNo auth
  • List the knowledge-base documents backing the website chatbot — file names, sizes, upload dates and a text preview.
    ConnectorNo auth
  • 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; takes one question of at most 500 characters. 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
  • Turn one sentence into an execution plan from the ABS knowledge base: phases, steps, schedule, forms and sources, plus what the knowledge base does not cover. Returns the plan code at once with status generating; building takes a minute or two, so call get_plan with that code about every 20 seconds until status is draft. Saved as a draft the user reviews and submits in ABS. Uses the account's credits.
    ConnectorOAuth
  • Deterministic statistics. With a `query`: total matches + state distribution of the top results. Without: global knowledge-base stats (entry count, domains, snapshot).
    ConnectorNo auth
  • Keyword/full-text search over the Celestia knowledge base (CIPs, Celestia/rollup/node docs, forum, whitepapers, blog, YouTube transcripts, celestiaorg GitHub issues/PRs, releases and Discussions). Celestia-specific — do NOT use for other blockchains (use the Ethereum or other-chain docs tool), the general web (use the web-search tool), other knowledge bases (use the dedicated RAG tool), or local files. Use this for exact-term or name lookups; use semantic_search for conceptual how-does-X-work questions, and get_doc to read a full page once you have its id.
    ConnectorNo auth