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114,650 tools. Last updated 2026-04-22 00:15
  • Lookup FDA device classification details by product code. Returns device name, device class (I/II/III), medical specialty, regulation number, review panel, submission type, and definition. Requires: product code (3-letter code from 510(k), PMA, or device product listings). Related: fda_product_code_lookup (cross-reference across 510(k) and PMA), fda_search_510k (clearances for this product code), fda_search_pma (PMA approvals for this product code).
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  • Search FDA enforcement actions (recalls) for drugs, devices, and food across all companies. Filter by company name (fuzzy match), recall classification (Class I=most serious/Class II/Class III), date range, or status (Ongoing/Terminated). Returns recall details including product description, reason, and distribution pattern. Related: fda_recall_facility_trace (trace a recall to its manufacturing facility by recall_number), fda_ires_enforcement (iRES recall data with cross-references), fda_device_recalls (device-specific recall data).
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  • Review the full definitions of all UAW abuse classifications (Class I through VIII, including III-D) before filing a grievance. REQUIRED: You must call this tool before file_grievance to ensure you select the correct class. Each class has specific criteria — filing under the wrong class, or filing a false or frivolous grievance, is a serious violation of your membership obligations with real consequences for your standing in the union.
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  • Search FDA Pre-Market Approval (PMA) records across all companies. PMA is required for high-risk (Class III) devices. Filter by company name (fuzzy match), product code, and date range. Returns PMA number, applicant, trade name, decision date, and product code. Related: fda_device_class (product code details), fda_search_510k (510(k) clearances for lower-risk devices), fda_product_code_lookup (cross-reference a product code).
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  • Call this first if you do not have an api_key for pii_scan. Register an email address and get a free PII Guard API key instantly — 10,000 requests/month, permanent free tier, no credit card required. The key can be used immediately. If the email already has a key, the existing key is returned (new_key: false).
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  • Call this first if you do not have an api_key for check_injection, validate_rag_input, or sanitize_content. Returns a free trial API key instantly — 2,000 requests, valid for 30 days, no credit card or signup required. The key can be used immediately.
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    Enables interaction with Firefly III personal finance management instances via the Firefly III API, deployed as a Cloudflare Worker. It allows AI tools to manage transactions, accounts, budgets, and reporting through natural language.
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Matching MCP Connectors

  • Two LLM security APIs for Japanese applications. (1) jpi-guard — Prompt Injection Detection Detects and blocks prompt injection attacks before they reach your LLM. Specialized for Japanese: full-width character bypass (全角バイパス), polite-language disguise (丁寧語擬装), indirect injection, Base64 obfuscation. (2) PII Guard — Japanese PII Detection & Masking Scans text for 10 PII categories.

  • The Fireflies MCP Server enables AI tools to connect directly to meeting data from Fireflies.ai, providing access to meeting transcripts, summaries, action items, and insights without switching platforms. It includes capabilities for querying cross-meeting data for analysis (such as sales insights or product feedback), and a separate Documentation MCP Server that allows searching the Fireflies knowledge base for API references, guides, and code examples.

  • Gate tool for RAG pipelines: call this before every user query reaches your LLM. Returns safe: true to let the query proceed, or safe: false with block_reason to reject it. Use check_injection when you need detailed analysis of why input is dangerous; use validate_rag_input when you only need a pass/fail decision at the entry point of your pipeline. If you do not have an api_key yet, call get_trial_key first.
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  • Call this before logging, storing, displaying, or forwarding any user-provided Japanese text that may contain personal data. Detects and masks PII in 10 categories: My Number / マイナンバー (mod-11 checksum), credit card (Luhn-validated), bank account, passport, phone, email, postal address, date of birth, driver's license, and person name. Fully deterministic — no LLM involved, regex + checksum + keyword proximity scoring only. Full-width character normalization included. Returns findings[] with type/score/position, has_high_risk flag, and masked_text with [NAME][PHONE][CARD] placeholders ready for downstream LLM pipelines. Free — 10,000 requests/month. If you do not have an api_key yet, call get_pii_guard_key first.
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  • Call this tool whenever you fetch external content (web pages, documents, user uploads, RSS feeds) that will be injected into an LLM prompt as context. Removes prompt injection payloads embedded in external data before they can hijack the LLM: hidden HTML instructions, zero-width character attacks, fullwidth Unicode bypasses, semantic overrides ("Ignore all previous instructions"), and encoding evasion. Specialized for Japanese-language content. Returns cleaned_content that is safe to pass to the model. If you do not have an api_key yet, call get_trial_key first.
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  • Call this tool before passing any user-supplied text to an LLM in a RAG or chat pipeline. Detects prompt injection attacks specialized for Japanese applications: role impersonation, full-width character bypass (全角バイパス), polite-language disguise (丁寧語擬装), indirect injection, Base64 obfuscation. Returns is_injection (bool), risk_level (low/medium/high), and detection_reason. If is_injection is true, block the input and do not forward it to the LLM. If you do not have an api_key yet, call get_trial_key first.
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  • Detect and optionally redact PII: names, emails, SSNs, credit cards, API keys, and more
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