Quick-scan a smart contract for rug, honeypot, or centralization risk before sending funds. It combines verified source, live on-chain state, and heuristic Solidity analysis to return a SAFE/CAUTION/HIGH-RISK verdict.
Enables LLMs to ingest and analyze legal agreements, compute risk scores, and monitor non-compliant clauses through MCP tools like ingest, fetch_contracts, and run_analysis.
LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.
MCP server for Korean public procurement law, offering LLM-free deterministic rule-based contract-method decisions, statute/regulation search, and live court precedents from law.go.kr.
Enables querying a style contract, resolving applicable rules for a given task/evidence/consequence, and inspecting recorded sample cases through MCP tools.
Analyzes financial contract PDFs to extract clauses, flag risk terms, and compare contract versions, producing structured risk briefs for legal and risk teams.
An MCP server for Indian legal work that enables case-law research with verified citations, limitation and deadline calculations, legal document drafting, matter tracking, and contract search.
Enables AI assistants and agents to search a legal document collection via hybrid BM25+dense retrieval, read articles with context, and generate full or short citations. It also exposes whole acts as Markdown resources, provides a citation-answering prompt, and supports stdio and streamable HTTP transports.
Enables deterministic research of Korean tax-law issues by retrieving and scoring official statutory evidence from law.go.kr and other legal sources, with citation verification and provenance, without deciding legal conclusions.
Provides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.
Enables coding agents to check requests against a live OpenAPI 3.x specification rather than guessing, by resolving endpoints from a docs anchor, operationId, path fragment or tag, revealing what each operation accepts and returns with $refs resolved, and diffing a concrete payload to report missing, unknown, mistyped, or forbidden fields with suggested corrections. All five tools are strictly read-only, never touching the API the schema describes, and return actionable errors with close-match suggestions.
Enables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.
Enables querying US defense contract awards of $7.5M+ from the daily press-release feed, including recent announcements, contractor/service rankings, and coverage statistics.
An MCP server that uses the Docling toolkit to convert various document formats, including PDFs, Office files, images, and audio, into clean Markdown for AI processing. It supports multiple processing pipelines like VLM and ASR with intelligent auto-detection and job queue management.
Efficiently delivers project documentation to AI agents like Claude on-demand, optimizing token usage by loading context only when needed. Supports document retrieval, listing, and keyword search with security features.
A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.
Checks documents against international standards (e.g., ICAO, Hague-Visby) to verify internal consistency and completeness, returning a machine-readable verdict for agent decision-making.
Enables AI agents to list, search, read, create, update, and delete email templates across all ZeptoMail agents in a Zoho account, with read-only agent discovery and safety checks for writes.
