"Creating a Document as a Knowledge Base" matching MCP tools:

• company_search

  Drillr — The financial MCP for AI agents

  Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead. Drillr's company knowledge base — searchable across industry classification, product offerings, business model, segment structure, competitive landscape, supply chain, management background, and customer profile. Pass a natural language description (e.g. "EV battery suppliers to Tesla", "Japanese semiconductor equipment makers", "AI inference chip startups"). Returns a structured list of matching companies with context snippets. ONLY for finding a LIST of companies by description.

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• create_rule

  Sweeppea MCP

  Create a new official rules document for a sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. SECONDARY RULES WARNING: Before creating rules, call fetch_rules to check if the sweepstakes already has primary rules. If primary rules already exist, WARN the user that the new rules will be created as SECONDARY and will NOT be the ones published on the Entry Page or assigned to the short URL (swpp.me/r/[handler]). The short URL always points to the primary rules. The user can change which rules are primary in the Official Rules section of the app. Only proceed after the user acknowledges this. # create_rule ## When to use Create a new official rules document for a sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. SECONDARY RULES WARNING: Before creating rules, call fetch_rules to check if the sweepstakes already has primary rules. If primary rules already exist, WARN the user that the new rules will be created as SECONDARY and will NOT be the ones published on the Entry Page or assigned to the short URL (swpp.me/r/[handler]). The short URL always points to the primary rules. The user can change which rules are primary in the Official Rules section of the app. Only proceed after the user acknowledges this. ## Pre-calls required 1. fetch_sweepstakes if the user gave you a sweepstakes name instead of a token 2. fetch_rules(sweepstakes_token) — if primary rules exist, WARN that the new one will be SECONDARY ## Parameters to validate before calling - sweepstakes_token (string, required) — The sweepstakes token (UUID format) - title (string, required) — Title of the official rules document (max 100 characters) - document_content (string, required) — Full HTML content of the official rules (max 1,000,000 characters) ## Notes - Prefer create_rules_wizard for legal-grade Official Rules - Use this only when you have a fully prepared HTML document and the wizard does not apply

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• list_domains

  mcp-server

  List the taxonomy domains the company has indexed — with document counts, expert counts, and coverage levels — so an agent can decide whether to query before spending a Knowledge Token. Returns one row per domain with the canonical `taxonomy_domain` slug, document/chunk counts, expert count, coverage level (expert | partial | none), the single_expert risk flag, and the top contributor by authority. Use the slug as the `domain` filter on a follow-up `query_knowledge` call. Zero Knowledge Tokens consumed.

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• sieve_dataroom_add

  Sieve

  Add a document to a deal's data room. Creates the deal if needed. This is the primary way to get documents into Sieve for screening. Upload a pitch deck, financials, or any document -- then call sieve_screen to analyze everything in the data room. Provide company_name to create a new deal (or find existing), or deal_id to add to an existing deal. Provide exactly one content source: file_path (local file), text (raw text/markdown), or url (fetch from URL). Args: title: Document title (e.g. "Pitch Deck Q1 2026"). company_name: Company name -- creates deal if new, finds existing if not. deal_id: Add to an existing deal (from sieve_deals or previous sieve_dataroom_add). website_url: Company website URL (used when creating a new deal). document_type: Type: 'pitch_deck', 'financials', 'legal', or 'other'. file_path: Path to a local file (PDF, DOCX, XLSX). The tool reads and uploads it. text: Raw text or markdown content (alternative to file). url: URL to fetch document from (alternative to file).

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• kochava_free_app_analytics_get_tos

  Kochava for Advertisers — Official MCP Server

  Retrieve the FAA (Free App Analytics) Terms of Service document link. Use this tool when the user wants to review the Terms of Service before creating an FAA account. Returns a clickable link to the TOS document and instructions for account creation. Example: kochava_free_app_analytics_get_tos()

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• get_graph_template_schemas

  RationalBloks

  Get pre-built graph template schemas for common use cases. ⭐ USE THIS FIRST when creating a new graph project! Templates show the CORRECT graph schema format with: proper node definitions (description, flat_labels, schema with flat field definitions), relationship configurations (from, to, cardinality, data_schema), and hierarchical entity nesting. Available templates: Social Network (users, posts, follows), Knowledge Graph (topics, articles, authors), Product Catalog (products, categories, suppliers). You can use these templates directly with create_graph_project or modify them for your needs. TIP: Study these templates to understand the correct graph schema format before creating custom schemas.

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• browse_by_tag

  AI Agents Overflow

  Browse the knowledge base by technology tag at the START of a task. Call this when beginning work with a specific technology to discover what verified knowledge already exists — before you hit problems. Examples of useful tags: 'pytorch', 'cuda', 'fastapi', 'docker', 'ros2', 'numpy', 'jetson', 'arm64', 'postgresql', 'redis', 'kubernetes', 'react'. Returns a list of questions (title + tags + score) for the given tag, ordered by community score. Call `get_answers` on relevant results.

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• get_api_key_instructions

  Kamy

  Return step-by-step instructions for creating a Kamy API key in the dashboard. Does not open the browser.

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• check_password_breach

  CIPHER x402 — Paid Solana & Crypto Tools

  Check whether a password hash prefix (SHA-1, first 5 chars) appears in the HIBP breach corpus. k-anonymity, no plaintext passwords sent. Priced at $0.005 USDC on Base (x402). Pass a signed x402 v2 authorization as the '_payment' argument to unlock the paid response. Without it, the tool returns the 402 accept-list for your wallet to sign.

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• osm_reverse_geocode

  CIPHER x402 — Paid Solana & Crypto Tools

  Reverse geocoding via OpenStreetMap Nominatim. lat/lon → normalized address + place class/type. Priced at $0.001 USDC on Base (x402). Pass a signed x402 v2 authorization as the '_payment' argument to unlock the paid response. Without it, the tool returns the 402 accept-list for your wallet to sign.

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• merge_branch

  Bridge Town

  Merge a head branch into a base branch (direct merge, no review required). If the merge would cause conflicts, returns a human-readable diff showing the conflicting changes so you can resolve them manually. Requires Owner role — only Owners can directly merge branches into main, protecting the base model from unreviewed assumption changes.

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• save_document

  Synapze — Financial Intermediary MCP

  Save a file (PDF, PPTX, DOCX, etc.) to a client's record in the broker's CRM. Use this after generating a document (quote comparison, needs summary, advisory note) to attach it to the prospect's file. The client must already exist as a lead (use save_lead first). BRANDING: Before generating any document, always call get_broker_info first to retrieve the broker's logo URL, brand color, company name, ORIAS number, and address — use these to brand the document. The file content must be base64-encoded.

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• get_knowledge_stats

  mcp-klever-vm

  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.

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• check_document

  Document Integrity Validator

  Call this tool BEFORE your agent accepts, processes, or acts on any document received from an external party -- before payment release, cargo acceptance, contract execution, or KYC sign-off. An agent that acts on a document without verification risks acting on a forged, altered, or non-compliant document -- one undetected forgery in a trade finance workflow can result in payment against fraudulent documents with no recovery path. Accepts any document type as base64 image or extracted text. The only MCP server that checks any document type against named international standards -- ICAO 9303, Hague-Visby, UCP 600, ISPM 12, and more -- and refuses to guess on unfamiliar documents rather than returning a confident wrong verdict. Returns a machine-readable agent_action field (PROCEED / VERIFY_MANUALLY / HOLD / REFER_TO_HUMAN) -- no further analysis needed. AI-powered reasoning -- NOT a database lookup. We do not log or store your document content. One call replaces manual review for standard document types. Free tier: 10 calls/month per IP, no API key required. Pro: 500 calls/month at $29/month. Enterprise: 5,000 calls/month at $199/month. kordagencies.com

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• methodology_faq

  refpro-mcp

  Answer structured questions about Refpro's methodology, supported deal types (FF / BRRRR / NC), pricing tiers, output formats (PDF / DOCX / XLSX), what 'lender-grade' means, and how Refpro differs from alternatives like BiggerPockets calculators. Backed by a static curated knowledge base — no LLM-generated answers, no network calls. Returns a 2–4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Falls back to a generic Refpro overview if the query does not match a known topic.

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• workflows_create

  Roboflow (Official)

  Create and save a new Workflow in the workspace. IMPORTANT: Always validate the config with workflow_specs_validate before creating the workflow. The config is the same JSON format used by workflow_specs_run and workflow_specs_validate. Once saved, the workflow can be executed by ID via workflows_run. Returns the created workflow including its document ID. Save this ID — it is required for workflows_update.

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• proximens_oracle_get_stats

  Proximens Oracle

  Get aggregate statistics about the Proximens GEO Oracle: total principles, total categories, confidence distribution buckets (>=0.9, 0.8-0.9, 0.7-0.8, <0.7), and last-validated timestamp. Use this to understand the size and quality of the knowledge-base before relying on it.

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• onyx_base_tx_simulator

  onyx-mcp

  Simulate a Base mainnet transaction before sending it. Returns success/revert prediction, the revert reason if any, decoded return data, and an estimated gas figure. Use as a pre-flight check inside a trading agent's tool-call dispatcher — agents should simulate before signing to avoid paying gas on a doomed tx. Direct equivalent of OATP's Solana tx_simulator ($0.20, 1,304 unique paying agents) — Onyx is the first to ship this on Base mainnet at $0.10. Read-only — never submits. (price: $0.10 USDC, tier: metered)

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• extract.estimate

  AssayChain — Mineral Intelligence (USGS and Field Runs)

  Free probe + price quote for paid structured-data extraction from a public document URL (pdf_digital, pdf_scanned, image, csv, txt). Returns estimate_id, source_type, page/row count, quality_floor grade (A/B/C/D), cost_breakdown {est_input_tokens, est_output_tokens, model_cost_usdc, margin_x, price_usdc}, and 15-min expires_at. Use the estimate_id with extract.run to pay via x402 USDC on Base. Honest grading: jobs returned as grade D receive an 80% auto-refund.

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• x711_hive_read

  x711 — Universal Agent Gas Station

  Query The Hive — x711's collective agent memory. The Hive contains knowledge contributed by all agents that have ever used x711: gas patterns, contract wisdom, DeFi discoveries, cross-chain insights, tool integration guides. Semantic search returns the most relevant entries ranked by similarity. Use before tx_simulate to get contract-specific hive wisdom. Use as a knowledge base for any on-chain or AI-agent topic. Returns: { query, entries: Array<{ content, namespace, domain_tags, agent_id }>, count: number }. Free tier: 10 calls/day.

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