"CodeQL for Code Auditing" matching MCP servers:

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Enables chatting with your site's SEO using real data, including crawling, on-page auditing, Google Search Console performance, Core Web Vitals, and competitor comparison from MCP clients like Claude or Cursor.

Personal MCP server that wraps K-IFRS, K-GAAP, auditing standards, and Q&A from kifrs.com and FSS, providing 16 tools for search, citation verification, and feedback.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

A model context protocol server designed for AI development and QA, providing AntV document context and code examples.

Provides read-only investment research and audit tools for validating ETF snapshots, comparing ETF structures, and auditing backtest reports, while strictly excluding any order or trading capabilities.

Enables latency-conscious, auditable deep research by delegating bounded semantic judgments to the calling client LLM while the server owns retrieval, durable state, evidence integrity, citation auditing, and deterministic quality gates.

Provides tools to search and execute Code Ocean capsules and pipelines while managing platform data assets. It enables users to interact with Code Ocean's computational resources and scientific workflows directly through natural language interfaces.

Provides access to 41 micropayment-based services for blockchain analytics, trading signals, prediction markets, and financial sentiment analysis. It enables users to perform crypto-native tasks like auditing smart contracts, tracking whale alerts, and analyzing DeFi liquidity through natural language.

Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.

Integrates with the Babbar.tech SEO API to enable AI assistants to perform advanced SEO analysis, competitor research, backlink auditing, and content gap identification.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Searches open-access research papers by keyword and retrieves detailed metadata by CORE ID, including titles, authors, abstracts, DOIs, and download links.

Enables citation-audited deep research with tools for web-grounded answers, source conflict detection, and per-claim citation auditing.

Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.

Research-grounded MCP server that provides evaluation lenses and conceptual boundaries for analyzing interestingness, enabling AI to assess humor, curiosity, and suspense without scoring content.

Serves a lab's manuscript library over the Model Context Protocol, letting clients list works, read text, search paragraphs, browse figures and notes, and record dead ends. Access is filtered by per-person sharing tiers, so each contributor's chosen slice of text, figure previews, assets and notes is what gets exposed.

A generic X/bookmark intelligence MCP core for ingesting, enriching, and retrieving bookmarks with semantic search, brief generation, and academic paper scanning, exposed as MCP tools.