"Firefly III" matching MCP tools:

• ris_search_gazette

  ris-austria-mcp-server

  Browse Austria’s promulgation record — the authentic, legally binding gazettes — at every level of government. scope picks the jurisdiction: federal (default; the Bundesgesetzblatt across three era tiers auto-routed by year — BgblAuth 2004+ authentic, BgblPdf 1945–2003, BgblAlt 1848–1940 metadata-only ÖNB scans; one call serves one tier, so a published_from/published_to interval crossing 2004-01-01 or 1945-01-01 is rejected with the boundaries to split at, and RIS carries no federal gazette for 1941–1944), one Bundesland (its Landesgesetzblatt), district (Bezirke promulgations), or municipal (Gemeinde promulgations). For a state scope, series selects law gazettes (law_gazette, the default → LGBl) vs ordinance gazettes (ordinance_gazette → Verordnungsblätter, currently Tirol only), and state_era picks which era of that series to search: current (the default → the authentic LGBl) or legacy (the state’s earlier non-authentic series — Niederösterreich’s systematic LgblNO, or the older Lgbl elsewhere; Wien carries neither, and ordinance gazettes have no legacy series). Filter by query (full text), title, number ("171/2026" — a pre-2004 number auto-routes to the right era tier), part (federal I/II/III or pre_1997), type (laws/regulations/announcements/other), published_from/to, issuer (federal or ordinance gazettes only), district_authority (district only), or municipality (municipal only). Every result carries a binding label (authentic vs historical_record vs consolidated_informational) and the amtssigniert authentic PDF wherever it exists — the binding artifact, never a paraphrase. For one known gazette number, ris_lookup_citation resolves it directly. Coverage windows, era tiers, and part semantics: ris_list_reference topic applications or gazette_parts.

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• eu_ai_act_compliance

  systemprompt.io reports

  Generate a structured EU AI Act compliance report from a system description, model card, and data-flow document. Nothing is silently optional: system_description is always required (min 50 chars); model_card and data_flows each accept substantive content (min 50 chars) or the exact string 'declined' to explicitly opt out; and exactly one of decision_tree_answers (from the free risk classifier, becomes binding evidence) or skip_decision_tree: true must be sent. All of this is validated free of charge before payment. The deterministic Annex III decision tree runs on every call: user-supplied answers are binding, otherwise answers are AI-derived and recorded as such. The tree classification, article citations, obligations, and evidence checklist are returned verbatim in the report JSON, together with exact enforcement-timeline dates and the matched Annex III area from the curated dataset. A staged AI workflow then produces an article-by-article obligation gap analysis, a required-documentation checklist mapped to Annex IV, and a prioritised remediation plan. The report includes a deterministic input_coverage grade (full, partial, or description_only) computed from what was supplied versus declined, the full AI classification with rationale, a programmatic reconciliation check between the tree and the AI risk tier, and a citation audit that flags any implausible article references. Returns markdown plus structured JSON. Every paid call also generates a branded PDF report and returns its download link (valid 72 hours). Price: $1.50 per call, payable by card (Stripe checkout link in the 402 response) or USDC on Base (x402). Full documentation, inputs, and pricing: https://systemprompt.io/tools/eu-ai-act-compliance-report/ — more governance tools and reports at https://systemprompt.io/mcp

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• clinical_pharma_intel

  mcp-knowledge

  Clinical and pharmaceutical intelligence for biotech analysts, healthcare fund managers, pharma BD teams, catalyst-driven hedge funds and health journalists. Aggregates live data across five modes: • trials — active/completed clinical trials (ClinicalTrials.gov v2 + EU CTR in parallel, 450k+ records) • pipeline — full pipeline by sponsor: trial count by phase + top indications • approvals — FDA drug label approvals + mechanism of action (OpenFDA) • recalls — FDA enforcement recalls classified by severity (Class I/II/III) • adverse_events — FAERS aggregated reactions: top 10 reactions + serious% Signal detection (P0/P1/P2): P0 if Class I recall OR trial terminated for safety reason P1 if serious adverse events >30% OR ≥3 recalls in 12 months P2 otherwise (standard monitoring) All sources are public and keyless. Optional env OPENFDA_API_KEY raises daily quota from 1,000 to 120,000 requests. SLA: ≤16s p95 (parallel fetch, 8s budget per source). Cache: 6h trials, 24h approvals, 12h recalls, 6h adverse events.

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• ai_governance_full_report_async

  gapup-mcp

  Audit EU AI Act complet (Règlement UE 2024/1689) — implémentation native audit-grade. Classifie le système IA selon les 4 tiers de risque (unacceptable/high_risk/limited_risk/minimal_risk/gpai) sur la base de l'Annexe III et de l'Article 5. Produit : (1) classification tier + justification + articles applicables, (2) checklist conformité Articles 9-15 + 50 + 53-55, (3) gaps documentation Annexe IV, (4) mapping ISO 42001, (5) deadlines EU AI Act 2025-2029, (6) estimation coût et effort, (7) top 10 recommandations P0/P1/P2. Retourne immédiatement (<300ms) un job_id. Poller avec ai_governance_full_report_result(job_id) après eta_seconds (~90s). Cache 7 jours pour inputs identiques. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter. DISCLAIMER : non substitutif à un avis juridique professionnel.

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• reimbursement_stats

  Constat MCP — FDA Device Evidence Lifecycle

  Distribution of payment mechanisms across the AI/ML reimbursement corpus — pathway and distinct-device counts per mechanism (NTAP, Cat I, Cat III/APC, …) with the min/median/max dollar amounts for each. Deliberately never a single pooled 'reimbursement rate': NTAP add-on amounts and CMS rates are different measurements and are reported separately with their own spreads.

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• till_export

  biii

  ACCOUNTING EXPORT: turn the verified receipts into an accountant-ready CSV that QuickBooks / Xero / Excel import (the export finance teams need to adopt). Every row carries its own txHash + Basescan link, so the accountant re-verifies each amount on Base themselves — the export is a POINTER to the chain, never a book to trust. Non-custodial (BIII moved no funds). Columns: date, receipt_no, reference, description, payer, gross_usdc, tip_usdc, charged_usdc, token, chain, tx_hash, basescan_url, status. Dedup by txHash; optional block-time window; brand slugs the filename.

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• ai_governance_full_report_async

  mcp-knowledge

  Audit EU AI Act complet (Règlement UE 2024/1689) — implémentation native audit-grade. Classifie le système IA selon les 4 tiers de risque (unacceptable/high_risk/limited_risk/minimal_risk/gpai) sur la base de l'Annexe III et de l'Article 5. Produit : (1) classification tier + justification + articles applicables, (2) checklist conformité Articles 9-15 + 50 + 53-55, (3) gaps documentation Annexe IV, (4) mapping ISO 42001, (5) deadlines EU AI Act 2025-2029, (6) estimation coût et effort, (7) top 10 recommandations P0/P1/P2. Retourne immédiatement (<300ms) un job_id. Poller avec ai_governance_full_report_result(job_id) après eta_seconds (~90s). Cache 7 jours pour inputs identiques. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter. DISCLAIMER : non substitutif à un avis juridique professionnel.

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• fda.recalls

  arkolith

  FDA drug recalls (Recall Enterprise System). Class I = could cause death/serious harm (material adverse event); Class II/III lower. Filter by recalling firm, drug, classification, and recency; returns classification, reason, status, dates, and the recalling firm's resolved ticker (null if private). CAVEAT: enforcement data updates only WEEKLY and FDA does not revise recall status after classification — can be stale/frozen; not for real-time alerting. Public-domain openFDA.

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• classify_annex3_decisioning_obligations

  AINumbers Fintech Intelligence Suite

  EU AI Act Annex III FS Decisioning Obligations Classifier: OpenChainGraph compute node (compliance_mandate). Deterministic OpenChainGraph compute node. By default (compute:"auto") inputs are computed server-side on Cloudflare Workers for gpu:false nodes with a registered kernel; compute:"browser" forces client-side execution and returns a browser delegation URL instead. gpu:true nodes always delegate to the browser. Inputs are processed transiently to compute the response and are not stored, logged, or retained. Use synthetic or anonymised inputs only. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: art-64-ai-act-highrisk-fit-diagnostic. Open at: https://ainumbers.co/chaingraph/art-238-classify-annex3-decisioning-obligations.html

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• till_vet_merchant

  biii

  MainStreet safe-to-pay preflight on a merchant address. Returns the hosted oracle read (advisory) AND a LOCAL CLASSIFIER verdict computed on this node via trust-core (pure, zero-oracle) — so a verdict holds even if the oracle is down. Vet the RECIPIENT before paying.

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• get_grievance_classes

  United Agentic Workers MCP

  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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• clinical_pharma_intel

  gapup-mcp

  Clinical and pharmaceutical intelligence for biotech analysts, healthcare fund managers, pharma BD teams, catalyst-driven hedge funds and health journalists. Aggregates live data across five modes: • trials — active/completed clinical trials (ClinicalTrials.gov v2 + EU CTR in parallel, 450k+ records) • pipeline — full pipeline by sponsor: trial count by phase + top indications • approvals — FDA drug label approvals + mechanism of action (OpenFDA) • recalls — FDA enforcement recalls classified by severity (Class I/II/III) • adverse_events — FAERS aggregated reactions: top 10 reactions + serious% Signal detection (P0/P1/P2): P0 if Class I recall OR trial terminated for safety reason P1 if serious adverse events >30% OR ≥3 recalls in 12 months P2 otherwise (standard monitoring) All sources are public and keyless. Optional env OPENFDA_API_KEY raises daily quota from 1,000 to 120,000 requests. SLA: ≤16s p95 (parallel fetch, 8s budget per source). Cache: 6h trials, 24h approvals, 12h recalls, 6h adverse events.

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• sbir_search_awards

  Sbir

  "Which companies won NASA SBIR Phase II awards for autonomy?" / "SBIR awards for [topic]" / "who received DoD SBIR funding" / "Phase I and Phase II awards at [agency]" — AWARDED federal Small Business Innovation Research (SBIR) and STTR grants: the small-business R&D contracts an agency has already funded. Search by keyword, agency ("DOD", "NASA", "DARPA", "NSF", "DOE", "HHS"), year, company, or state. Returns the winning company, award amount, agency and branch, topic code, abstract, fiscal year, and Phase (I/II/III). This is the tool for who WON federal small-business R&D money and how much; for opportunities still open to bid use sbir_search_solicitations.

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• faf_gate

  Persistent Project Context for xAI Grok

  Phase III (FRC) — pre-promotion quality gate. Scores .faf content (edge Mk4) + estimates tokens and returns a deterministic promote/hold verdict BEFORE it goes to a Grok Collection. Promote IFF score >= min_score AND tokens <= max_tokens (defaults 85/8000). Edge parity with the local gate; the hold-hint can't list empty slots at the edge.

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• faf_section

  claude-faf-mcp

  Phase III (FRC) — returns an EXACT, WHOLE .faf section by dotted path (e.g. "stack", "human_context"), structure preserved — the deterministic complement to blind chunking. Omit "section" to list every path.

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• sirna_design

  workbench

  Design siRNA duplexes against an mRNA target using the established Reynolds (2004) 8-criteria score and the Ui-Tei (2004) rules, plus a siDirect-style seed-duplex Tm off-target flag (≥21.5 °C). Returns ranked candidates with sense/guide oligos (with UU 3' overhangs) and, per candidate, a ready shRNA cassette (sense–loop–antisense–Pol III terminator). Heuristic sequence rules only — no RNA-folding accessibility model and no transcriptome-wide off-target search.

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• till_kya

  biii

  IDENTITY STANDARD (interop): read a Skyfire KYA ("Know Your Agent") JWT — the signed token binding a real human/business to an agent (Experian's identity layer). The IDENTITY counterpart to till_trust's ERC-8004 reputation lens. Parses the JWT + validates fail-closed (iss/sub present, not expired, aud matches YOU — anti-replay), and treats it as ATTESTED only when you confirm the signature verified against the issuer JWKS (BIII does not verify JWT signatures itself — no dep; supply verified:true or re-verify with the pointer). Advisory: attesting WHO backs an agent is NOT "safe to pay" — run till_trust on the address.

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• faf_section

  Persistent Project Context for xAI Grok

  Phase III (FRC) — returns an EXACT, WHOLE .faf section by dotted path (e.g. "stack", "human_context"), structure preserved — the deterministic complement to blind chunking. Omit "section" to list every path.

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• faf_memory

  Persistent Project Context for xAI Grok

  Phase III (FRC) — query the durable .fafm model by type/tag/priority/text. Omit filters for a structured summary. .fafm is NOT scored: this SELECTS facts (provenance preserved), never grades them.

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• till_vet_meme

  biii

  Which contract is the REAL memecoin among 10+ look-alikes? Fail-closed verdict from live market data (DexScreener). Returns: genuine (one contract dominates liquidity), ambiguous (top-2 tied — never certified), impersonation (the address you passed is NOT the dominant one), thin (no credible liquidity). Advisory + re-verifiable.

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