FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

The Socket MCP server is a Model Context Protocol service for dependency security scanning, providing security scores and vulnerability detection functions for software package ecosystems such as npm and PyPI, supporting AI assistant integration and multiple deployment methods.

A tool for AI agents to check the security of software packages before installation, providing allow/deny decisions, risk scores, and audit logs

MCP-Soccerdata is an open-source MCP server that provides real-time football match data, including schedules, scores, lineups, and other information, through natural language interaction.

A multi-language code dependency analysis service that generates dependency graphs and architectural scores

Rug-Check-MCP is an MCP server project used to detect potential risks of Solana meme tokens, helping AI agents avoid rug pull scams and unsafe projects. It retrieves token data through the Solsniffer API and provides structured analysis results, including the name, symbol, risk score, market capitalization, price, supply, risk details, and audit status.

An MCP server that provides access to the Open Food Facts database, supporting functions such as querying food information, nutritional composition, and environmental scores to help users make informed food choices.

The MCP Webpage Timestamp Extraction Service is a powerful tool for extracting creation, modification, and publication timestamps from web pages. It supports multiple data sources and batch processing and provides confidence scores.

A Python client for integrating with the orienteering Eventor API, providing access to event, registration, and score data, supporting caching and AI assistant integration.

RagAlgo is an MCP server that provides mathematically scored financial context (South Korean stocks/cryptocurrencies) for AI agents. It focuses on using daily closing data to build a 'factual state' to prevent AI hallucinations caused by real - time market noise, aiming to build investment advisors rather than high - frequency trading robots.

An MCP server that provides AI predictions for Premier League and Champions League football matches, supporting real - time scores, goal predictions and player analysis

The Claude Lead Scoring Assistant built on MCP automatically scores and prioritizes sales leads through key data points such as company size, budget, and intent.

An MCP server for Spotify batch operations, supporting batch creation of playlists, exporting music library data, and large - scale music library management. It is especially optimized for podcast playlists, providing confidence scores and a manual review process.

An AI-driven tool for analyzing abnormal movements of US stocks, which explains in real-time the reasons for fluctuations exceeding 2 standard deviations in the constituent stocks of the S&P 500, Nasdaq 100, and Dow Jones 30 indices, and provides a confidence score and a link to in-depth analysis.

A Bitcoin AI tool and Nostr trust scoring server based on MCP, enabling pay - per - use access through the Lightning Network L402 protocol, providing a Web of Trust score to prevent Sybil attacks and Nostr identity tools.

The Incode identity verification MCP server provides authentication capabilities for AI assistants, including generating verification links, checking session statuses, obtaining verification scores, and managing authentication tokens.

Memoria is an MCP server that reveals hidden dependencies between code files by analyzing Git history, preventing AI from breaking functionality when refactoring code. It runs entirely locally without uploading code to the cloud, ensuring the security of code modifications by detecting coupling relationships, risk scores, and outdated dependencies between files.

The MCP server of the Gravity Swarm network provides functions such as registration, task acquisition, result processing, and proof submission, supporting AI agents to obtain reputation points and ELO scores by solving tasks.