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306,645 tools. Last updated 2026-07-25 17:41

"MCP server for legal contract analysis and law explanation with sources" matching MCP tools:

  • Browse enacted public and private laws from Congress.gov by congress and law type ('pub' for public laws, 'priv' for private). 'list' filters by enactment status and law type — the discovery path 'bill_lookup' does not offer. 'get' returns the origin bill record (sponsor, actions, summaries, text), with the public/private law citation on the bill's 'laws' array (e.g. {"number":"118-2","type":"Public Law"}).
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  • Search the Arclan registry for MCP servers. By default returns only connectable servers (active, mcp_partial, auth_gated). Use status=stdio to browse local-only servers available for installation. Use status=all to query the full index. Use production_safe=true to restrict to servers with uptime > 97% and handshake success > 95%. Use read_only=true to restrict to servers with no write or exec tools. Use this before connecting to an MCP server to check its validation status and score. After using a server, call report_server to contribute reliability data.
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  • Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.
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  • Returns puja (ritual worship) recommendations for planetary propitiation per graha. SECTION: WHAT THIS TOOL COVERS For each of the nine grahas, returns: puja name, presiding deity, day of week, specific offerings (flowers, grains, incense), grain associated, and beej mantra. Used by practitioners to recommend planetary remedies based on chart analysis. SECTION: WORKFLOW BEFORE: asterwise_get_natal_chart — identify afflicted planets before recommending pujas. AFTER: asterwise_get_rudraksha — complementary bead-based remedy. SECTION: INPUT CONTRACT planet (optional): One of Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn, Rahu, Ketu. Omit to get all nine planets. SECTION: OUTPUT CONTRACT Single planet: data.planet, data.puja_name, data.deity, data.day, data.offerings[], data.grain, data.mantra All planets: data.planets{} — object keyed by planet name SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unknown planet name → MCP INTERNAL_ERROR INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_remedies — personalised remedies from natal chart analysis. asterwise_get_rudraksha — bead recommendations, not puja rituals.
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  • AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'
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  • Server self-description — capability matrix, tool catalog, named-entity tag counts, supported query patterns, primary sources. Free tier. Use this tool when an agent first connects and needs the capability matrix to decide whether this server can answer the user's question, or when the user asks "what can koreanpulse do" or "what data sources does this MCP server provide". Returns a structured dict that downstream agents can ingest directly.
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  • MCP server for SEO and web analysis data including keyword rankings, backlink profiles, site audits, and traffic analytics for AI agents.

  • MCP server for legal data including court records, case law, legal filings, and regulatory information for AI agents.

  • Extract structured transaction data from a contract at a URL. Downloads the document, extracts text (with OCR fallback for scanned PDFs), and runs PrimaCoda's contract-extraction prompt to return parties, addresses, dates, prices, and key contract fields. Use this when an agent has the contract hosted somewhere (Dropbox, Google Drive direct download, Square Space, etc.) and wants to skip the upload step. For multi-document deals (purchase + addenda + disclosures), use the PrimaCoda dashboard's batch upload — this tool handles ONE document. Args: pdf_url: Direct download URL for the contract (PDF, DOCX, TXT, or image). Must be reachable from the PrimaCoda server. Google Drive "shared link" URLs work if set to "anyone with link"; other share URLs may need their direct-download form. api_key: Your PrimaCoda MCP API key (starts 'pck_').
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  • The sector index — valid `sector` slugs (with name, inherent risk and description) for get_ai_obligations, get_ai_penalties and assess_ai_compliance. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.
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  • Search legal documents across jurisdictions (DE federal, EU, Bavaria, Saxony) using hybrid semantic + keyword search. Returns ranked results with content snippets, not full text. Rephrase colloquial language into legal terminology for best results. Formuliere Suchanfragen als natürliche Sätze, nicht als Keyword-Listen (z.B. 'Wann verjährt ein Schadensersatzanspruch?' statt 'Verjährung Schadensersatz Frist BGB'). Das System durchsucht Gesetzestexte — verwende die Sprache des Gesetzes, nicht Doktrin-Begriffe (z.B. 'Auslegung mehrdeutiger Klauseln' statt 'contra proferentem'). Set document_kind to match what the question needs: any norm subtype ('statute'/'regulation'/'directive') when it asks for the rule itself — its requirements, definitions or deadlines; 'decision' when it asks how courts apply a rule. The three norm subtypes form ONE filter class — any of them admits all three, so you need not tell statute from regulation from directive, and a reflexive 'statute' never hides an EU regulation/directive. The only real cut this filter makes is norm vs. case-law: 'decision' restricts to court decisions and drops every norm BEFORE ranking, so it can hide the statute that answers a rule question. Leave document_kind empty when the question genuinely needs both (norm + its case-law application), or when German-vs-EU law is unclear (e.g. data protection: BDSG vs DSGVO) — then consider running two searches with different filters instead of guessing. Never combine a statute law_abbreviation with a decision scope ('decision', a decision source_type, court or decision_type): decisions carry file-number identifiers, not statute abbreviations, so that intersection is always empty — use cited_norm instead to find decisions applying a law. See legal://filter_values for the per-value definitions and the disambiguation list. Set law_abbreviation, jurisdiction and source_type only when the user explicitly names a specific law or jurisdiction. When results span multiple laws or versions, check the legal://rechtsrahmen resource to pick the correct jurisdiction (e.g. EU vs national, substantive vs procedural). COMMON PITFALLS — choose the correct law: - Procedural law by jurisdiction: ZPO (zivilrecht), STPO (strafrecht), VWGO (verwaltungsrecht), ARBGG (arbeitsrecht), SGG (sozialrecht), BVERFGG (verfassungsrecht), FAMFG (familienrecht) - AO, ESTG, KSTG, USTG, FGO: AO=procedure, EStG/KStG/UStG=substantive - VVG, BGB: Insurance rescission → BGB §§ 812ff, not VVG - VERSAUSGLG, FAMFG: VersAusglG=substantive, FamFG=procedure - APOG, AMG: ApoG=operation, AMG=drug approval - WEHRPFLG, SG: WPflG=conscription, SG=soldiers - AGG, BETRVG: AGG=anti-discrimination, BetrVG=works council
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  • List available laws, regulations, and court decisions in the database. Returns abbreviation, title, source type, jurisdiction, document kind, and version date for each entry. Unfiltered listings can contain thousands of entries; pass a search term or source_type to keep responses focused. Useful for discovering valid law abbreviations to use as filters in legal_search. Found a relevant law? Use legal_get_toc to browse its structure. NOT an existence check for a specific law: EUR-Lex entries store the official long title, so searching by common name or number can miss laws that ARE in the corpus. To verify a law exists, use legal_lookup with a citation or legal_search with a topic instead.
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  • Returns VoiceFlip MCP server health and version metadata. No authentication required. Use this first to verify the server is reachable from your MCP client.
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  • Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Get Lenny Zeltser's Security Assessment cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `assessment_load_context`. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.
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  • Search TaxCompass's primary-source corpus and return passages to cite. Hybrid semantic + keyword retrieval over Italian tax & company-law primary sources: Normattiva (statute), Agenzia delle Entrate (circolari & guidance), INPS (social security), pinned tax-year tables (IRPEF brackets, INPS rates, forfettario thresholds & coefficienti di redditività), the ATECO 2025 code catalogue, and EU/treaty sources. Each result carries a `chunk_id`, `source`, and (usually) a `url`. Cite the `url` and quote the `text`; do not assert Italian tax facts the passages don't support. Queries work in any language, but Italian keywords improve recall against the (Italian) legal corpus. Args: query: What to search for. Keyword-dense Italian phrasing works best. sources: Optional subset to restrict to (see `list_tax_sources` for keys). Omit to search everything. Unknown keys are ignored. k: Max passages to return (1–12).
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  • Verify MCP server connectivity. Returns success immediately with no database calls. Use this FIRST if experiencing tool errors - a successful response confirms the server is reachable and your authentication is valid. Does not count toward your monthly searches.
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  • List all contract and legal document types Pactlio can generate, with descriptions, use cases, and USD prices. Start here to find the right contract type slug/id for other tools.
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  • First-pass review of ONE contract: plain-language summary, risk flags (with severity low|medium|high and explanations), key terms (parties, dates, term, termination notice, governing law, payment terms, auto-renewal), and presence/absence of 8 standard clauses with verbatim evidence excerpts. Input: raw contract text 100-150,000 chars (≤50,000 on the Free plan); optional title, counterparty, and document_type (msa|nda|sow|employment|lease|services|license|other). Raw text is never stored — only a content hash and the structured result. METERED — the most expensive WizerAPI operation: 12 AU + 1 AU per 1,250 chars (a 30,000-char contract ≈ 36 AU; the 150,000-char max ≈ 132 AU). Call check_usage BEFORE long documents. Re-analyzing byte-identical text in the same organization is 0 AU (cached: true). Every result reports its au_cost. Automated first-pass assistance, NOT legal advice.
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  • Mandatory initialization step for any session against the Blockscout MCP server. Returns server reference data plus the `blockscout-analysis` skill pointer and URI resolution rule. MANDATORY FOR AI AGENTS: Call this tool first in every session. The returned payload identifies where the operating rules and analysis framework live and how to read referenced skill files before executing further tool calls.
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