#software

⏩ 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

Open-source AI Agent for VS Code and JetBrains that autonomously solves coding tasks end-to-end.

Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests What makes OpenHelm the best solution for this: • AI monitors implementation progress and verifies work against the intended outcome • Can investigate code, documentation, issues, and related systems using a real browser • Multi-step workflows support planning, coding, testing, validation, and iteration • Operates within a secure remote environment designed for autonomous development work For software teams looking to accelerate execution, OpenHelm provides an environment where development tasks can be completed from start to finish with minimal supervision.

DMAP-AI MCP Server provides AI-accessible drought monitoring and SPI drought analysis tools using NASA POWER and ERA5-Land/CDS data. It supports SPI tables, drought severity event detection, wavelet scalogram analysis, global wavelet periodicity diagnostics, and structured JSON output for climate, hydrology, agriculture, and drought research workflows.

Open-source MCP server that defers non-urgent LLM tasks to the cleanest electricity-grid hour inside a deadline. When the user says "do this later", "by tomorrow", "overnight", "by EOD", "no rush" — the agent auto-routes the task through schedule_task and the MCP picks the cleanest UTC hour inside the window. Real grid-intensity feeds: UK National Grid ESO (key-less), US EIA, ENTSO-E, Electricity Maps. Per-task carbon receipts persisted to local SQLite (~/.ebb-ai/queue.db). Anthropic + OpenAI Batch API routing for 50% cost reduction when the deadline allows. 9 MCP tools: get_grid_forecast, recommend_window, schedule_task, check_queue_status, cancel_task, cancel_all, expedite_task, update_deadline, retry_task. 204 passing tests across TypeScript + Python ports. Apache-2.0. Live demo + 7-region carbon-intensity map: https://www.ebb-ai.com Docs (commands, tools, install matrix): https://www.ebb-ai.com/docs

Public MCP server for Agrus.ai, an AI consulting agency for regulated industries (US + Canada). Tools let AI agents query the agency's compliance position on HIPAA / SOC 2 / ISO 27001 / EU AI Act / NAIC / ABA / AML, scope a Discovery Sprint PoC, request a ballpark quote, or formally request a proposal that creates a tracked CRM lead. Hosted at mcp.agrus.ai. Open source, MIT.

Hosted MCP for B2B SaaS GTM stack research — 8 read-only tools wrapping stackswap.ai: search ~400 GTM tools, find curated overlaps, suggest AI-native swaps, compare vendors head-to-head, run preview spend audits, and get partner recommendations. Free, no API key, stateless.

Architecture Diagrams Built and Maintained by AI

Revuo is the B2B SaaS directory built for the AI-citation era. While G2 and Capterra were built for humans clicking through review pages, Revuo is built for the parallel reality where buyers' first stop is an LLM. Every listing carries a typed capability schema (integrations, standards support, pricing model, deployment options), is continuously re-verified by a weekly crawler, and is exposed via a public MCP server agents can call directly. Revuo's three launch verticals are PIM/PXM, Tender Management, and Billing & Invoicing — chosen for ACVs that justify vendor distribution spend and for AI-citation buyer behavior that already exists today. Capability-structured. Continuously verified. Agent-callable.

Official MCP server for TrackingTime (trackingtime.co). Query time entries, projects, tasks, customers, and team productivity data from Claude, Cursor, or any MCP-compatible AI client. Read-only. Works with SSE and HTTP transports.

AI-first task management for teams. Manage your projects, tasks, and team, all through your AI agent.

Give AI agents a visual architecture canvas — build, read, and modify system design diagrams from Claude Code, Cursor, or any MCP client.

Give AI coding agents a visual architecture canvas — build, read, and modify system design diagrams

Odoo is powerful. AI is powerful. Together, they’re even better. odoo-mcp-pro connects your AI assistant directly to your Odoo ERP, allowing you to interact with your business data using natural language. Instead of navigating through menus and interfaces, you simply ask questions or give commands—just like you would to a colleague. For example: "Show me all unpaid invoices over €5,000 from Q4." Your AI assistant understands the request, queries your Odoo system, and instantly returns the results. With odoo-mcp-pro, you can: Search and analyze data Create and update records Manage workflows with simple instructions It’s not meant to replace Odoo’s interface, but to complement it with a faster, more intuitive way of working. The tool is compatible with leading AI platforms such as Claude, ChatGPT, Gemini, Copilot, and Mistral through the MCP protocol, making it easy to integrate into your existing workflow. Currently available as a free beta, odoo-mcp-pro supports Odoo versions 14 through 19, runs on Python 3.10+, and uses modern authentication via OAuth 2.1. In short: odoo-mcp-pro turns your AI assistant into a smart interface for your Odoo system—helping you work faster, smarter, and more naturally.

Get parking system recommendations, equipment specs, and software details from Parking BOXX. B2B parking equipment manufacturer — barrier gates, pay stations, kiosks, LPR cameras, access control, and CloudEASE management software. 85+ years experience, factory-direct pricing.

A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains (projects, tasks, discussions, artifacts, decisions). One-command install. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible client. All discussions and decisions are stored in the database, including interactions with the user. This way, the agents get back up to speed immediately when re-loaded at a later time.

TEOS MCP is an MCP server that performs real-time diff-level security scanning for AI agents and CI/CD pipelines. It analyzes code diffs before merge or deployment and returns a deterministic gate decision: ALLOW WARN BLOCK Built for: • AI agents • Autonomous systems • DevSecOps teams • CI/CD workflows Features: • Diff risk scoring • Deterministic merge gate • Real-time enforcement • Usage-based monetization (pay-per-scan) • Optional on-chain verification Unlike gateway filters, TEOS MCP performs code-level intelligence before execution.

Create uncensored, high-quality, watermark-free AI images completely free and unlimited. Powered by the Flux.Dev open-source model, PictoFlux outputs HD results in ~5 seconds with up to 4 images generated in parallel so you can compare and pick the best. Choose from 25+ preset styles, multiple aspect ratios and high-res sizes, no registration required, with quality rivaling GPT-4o and other commercial models.

The Stack Overflow Model Context Protocol (MCP) enables AI tools and agents to access trusted developer knowledge from Stack Overflow. It standardizes how knowledge is exposed, discovered, and retrieved for use in agent workflows and developer environments.

An advanced Model Context Protocol (MCP) server that provides AI-powered Python testing tools. This project leverages both Google's Gemini AI and BAML (Boundary ML) to intelligently generate comprehensive unit tests and perform sophisticated fuzz testing on Python code.

An MCP server that provides filesystem access to Claude desktop

BrowserStack MCP Server allows you to use our cutting-edge Test Platform directly from your favourite AI tools. Enable every developer and tester in your team, whether they are testing manually, starting their automation journey, or scaling test automation.

Software architecture tooling for the AI age

Model Context Protocol (MCP) Server for the JFrog Platform API, enabling repository management, build tracking, release lifecycle management, and more.

🚀 MCP Server: Platform enabling AIs to act as autonomous developers. From idea conception to final testing, automating the entire software development process. #AutonomousDev #AI #Innovation #SoftwareEngineering #FutureOfDev

A Model Context Protocol server that provides software management capabilities for your computer.

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A Model Context Protocol (MCP) server that enables AI assistants like Claude to check software end-of-life (EOL)

Learning repository: conversations and notes from my learning sessions with Claude. And all files are upload by Claude MCP server

A CLI tool, MCP server, and vscode extension that allows Cline to ask an external specialized consultant for help