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A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

This Fiscal Data MCP server, created by Alex Andru, provides a streamlined interface for accessing US Treasury data through the Fiscal Data API. Built with TypeScript and utilizing the mcp-framework, it offers tools for fetching specific treasury statements, accessing historical data, and generating formatted reports. The implementation stands out by focusing on treasury-specific data retrieval and presentation, making it particularly useful for financial analysts, economists, and researchers who need quick access to up-to-date US fiscal information. It integrates seamlessly with Claude Desktop, allowing for natural language queries about treasury data and automated report generation, enhancing the efficiency of financial data analysis and reporting workflows.

Provides full Flickr API integration with 18 tools covering photo search, metadata retrieval, album management, tagging, and group operations. Supports both read and write operations with OAuth authentication, returning thumbnail and medium image URLs for visual analysis. Handles album creation, photo organization, and bulk operations across the Flickr library.

MCP server exposing pcapy-ng packet capture functionality

Automated codebase architecture & symbol documentation indexer

MemMCP is a Cheat Engine-like tool built with MCP that allows memory manipulation in applications. This proof-of-concept demonstrates memory scanning and modification capabilities similar to Cheat Engine but implemented using the MCP framework, providing a Python-based alternative for memory hacking tasks.

Enables sending QQ messages automatically via Claude Code using Windows UI automation, no Bot API required.

A local MCP server that bridges AI assistants with the CV Maker app to generate pixel-perfect CV PDFs.

Simple taskwarrior mcp written in Rust, automatic project scoping for tasks.

MCP server that enables AI agents to control and interact with Godot 4 editor, allowing scene manipulation, file editing, and project inspection through natural language.

Enables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.

A dedicated Model Context Protocol server that enables AI clients to interact with Salesforce tools for data analysis and management via the g-gremlin CLI. It supports both read-only and write-enabled operations for seamless integration with tools like Claude Desktop and Cursor.

Enables AI agents to pause execution at critical decision points and request human review before proceeding. Provides tools for creating interrupts, polling for decisions, and managing approvals through a simple REST API interface.

A GitHub Code Review Assistant MCP server built by sanjanaspanda that provides comprehensive tools for analyzing pull requests, checking code patterns, and ensuring consistency with team standards. The implementation uses FastMCP and httpx to expose tools for listing PRs, retrieving detailed PR information including files and diffs, performing automated code analysis with pattern detection and security checks, managing comments and reviews, and validating compliance against configurable team coding standards stored in repository files. It features intelligent code pattern recognition, complexity analysis, security vulnerability detection, and automated suggestions for improvements, making it useful for streamlining code review workflows, enforcing coding standards across teams, and providing AI-assisted code quality analysis in development processes.

Access global ocean tides model.

Enables SRE operations through natural language, providing tools to query SLO status, fetch runbooks, query alerts, and manage incidents with audit logging and latency tracking.

Monitor CPU, RAM, disk, network I/O, and processes on any Linux/macOS/Windows machine u2014 get alerts, trends, and insights u2014 directly from your AI agent. No SaaS, no agents, no infrastructure.

Execution trajectory evaluator computing action-level precision, recall, and Levenshtein sequence edit distance against gold benchmarks.

A production-ready MCP server for Google Tag Manager, GA4 Measurement Protocol, DataLayer schema validation, Meta CAPI auditing, and tracking code snippet generation.

Provides guidelines for writing proper apologies based on the situation, relationship, and severity. Returns structured prompts that help LLMs generate sincere and appropriate apology letters in Korean.