#ur

The AI Code Editor

MCP server to provide Figma layout information to AI coding agents like Cursor

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns. DevContext leverages sophisticated retrieval methods, focusing on keyword analysis, relationship graphs, and structured metadata to deliver highly relevant context during development, understanding both your conversations and your codebase at a deeper level. The server operates with a database instance dedicated to a single project, eliminating cross-project complexity and ensuring performance with minimal resource requirements. DevContext builds a comprehensive understanding of your codebase - from repository structure down to individual functions - while continuously learning from and adapting to your development patterns.

A Model Context Protocol (MCP) server for analyzing GitLab repositories and performing security assessments.

🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor

DevEnvInfoServer - Cursor MCP Server for Development Environment Information

This creates an MCP server enabling Claude to run security scans on Terraform code, create architecture diagrams of your AWS cloud architectures and execute terraform commands to deploy or modify resources

HttpStatus MCP Server gives AI assistants 24 production-ready tools for API development workflows. Test, mock, monitor, and secure APIs directly from Claude, Cursor, Windsurf, or any MCP-compatible client.

SQL Server MCP Server for Windsurf IDE - A standalone MCP server providing SQL Server integration capabilities

Lightweight MCP server to give your Cursor Agent access to the Cloudflare API

An MCP server for the Recurse Center

Documentation and configuration details for GitHub MCP server setup

A template for building mcp servers in python

A simple GUI for managing MCP servers, for easy toggle mcp servers.

A Cursor MCP (Model Context Protocol) server that enables seamless interaction with Neo4j databases directly from the Cursor IDE.

Lightweight MCP server to give your Cursor Agent access to the WorkOS API.

MCP Server example with TypeScript

This package provides functionality to manage MCP server configurations for different clients like Cline and Claude Desktop.

Cleric - Configure Claude settings for MCP servers through a simple GUI

A simple MCP server to interact with Pure storage arrays

Vibetest MCP - automated QA testing using Browser-Use agents

MCP Server built in Node.js that demonstrates how to build an MCP server with a custom tool, including one that loads an environment variable from a configuration file, to integrate seamlessly with AI-assisted environments like Cursor AI.

A Model Context Protocol server for interacting with Babashka, a native Clojure interpreter for scripting

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MCP Server configuration with patent API integrations

AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

Hosted MCP DNS utility for querying records through a paid remote server with first-call proof and x402 payment gating.

Several MCP servers the CSA uses, collected into a single repo for ease of use

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A MCP server for capturing screenshots

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Security scanner for MCP servers. Scores any server against the AgentsID trust framework live scan via npx or lookup pre-scanned results from the public registry of 15,983 servers. Returns trust score (0–100), grade (A–F), and findings across injection, permissions, validation, and auth categories.

Absurdly easy Model Context Protocol Servers in Typescript

MCP Server for the Azure DevOps API, enabling project management, repository operations, and more.

MCP Server for the Azure DevOps API, enabling project management, repository operations, and more.

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An MCP proxy server to connect to the resource hub

This AI agent analyzes code repositories, detects potential security vulnerabilities, reviews code quality, and suggests fixes based on Sentry error logs using Sentry and GitHub MCP servers!

Model Context Protocol Servers for Azure AI Search

A collection of Model Context Protocol (MCP) servers for enhancing Claude's capabilities in Cursor IDE

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A Micromanagement Tool for Development Workflows: Helps coding agent plan, track, and visualize sequential development tasks with detailed commit-level granularity. Features interactive visualization, automated status tracking, and structured workflow management.

Cursor project rules and MCP server

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An MCP server for people who surf waves and the web.

An MCP server that enables natural language commands for managing GitHub repositories