MCP 13

AI-powered code editor for developers and enterprises, enhancing productivity and workflow. Windsurf (formerly Codeium) is an AI-powered code editor designed for developers and enterprises. It features the Windsurf Editor, an AI-native IDE that aims to keep developers in a state of flow by anticipating their needs, fixing issues proactively, and handling complex codebases. It offers features like Cascade, an agent that codes, fixes, and thinks ahead, and Windsurf Tab, which provides smarter code suggestions based on command history and clipboard content. Windsurf also supports building, iterating, and shipping apps within the editor, along with features like memory, lint fixing, MCP support, and terminal command integration.
A directory for discovering and sharing Model Context Protocol (MCP) Servers. MCP Servers is a platform that collects and organizes Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. MCP Servers enhance AI capabilities by providing access to external data, tools, and prompts through a client-server architecture, enabling AI systems like Claude to securely connect with various data sources.
AI Product Management for Product Teams, Agencies, and Startups metastory AI empowers product teams, agencies, and startups to turn ideas into production-ready deliverables. With AI-generated PRDs, user stories, and acceptance criteria, plus seamless UI-to-feature mapping, Figma and Jira integrations, and MCP-powered Meta Coding, it removes ambiguity and accelerates the entire software development lifecycle. Whether collaborating with developers, building on no-code platforms, or guiding AI coding assistants like Claude, Cursor, or Copilot, metastory keeps requirements clear, contextual, and perfectly aligned.
Knowledge graph for precise AI coding-agent codebase context GitNexus is an open-source knowledge graph engine by Akon Labs that indexes codebases into a deterministic graph of dependencies, callers, imports, call chains, execution flows, clusters, and cross-repository relationships. It connects to coding agents through MCP, allowing them to query structured code context instead of relying only on file searches, embeddings, or similarity guesses. GitNexus supports impact analysis, blast-radius detection, git-diff analysis, architecture discovery, hybrid search, and multi-repository graph analysis. Its local version keeps code, indexing, and queries on the user's machine, while Enterprise provides managed SaaS or self-hosted deployments with features such as automated PR review, auto-reindexing, unified multi-repo graphs, SSO, and dedicated support.
Turn meetings into completed client work, in a flash. Supernormal helps agencies and client-facing teams transform meeting recordings into ready-to-send deliverables without a bot on the call. The desktop app captures meetings without a bot joining your call, then the AI agent in the web app generates campaign briefs, pitch decks, proposals, project plans, follow-up emails, and presentations that sound like you. Stop doing busywork and start reviewing polished client work instead.
TrustGate by NeuralTrust is the only open source AI gateway with built in security for enterprises running LLMs and AI agents at scale. It sits in front of AI traffic to control access, enforce policies, and block threats like prompt injection and jailbreak attempts before they reach production. TrustGate ships with a catalogue of over 200 MCP connectors, so teams can plug in agents and tools without building custom integrations for every provider. TrustGate is an open source AI gateway built for enterprises deploying LLMs and AI agents in production. It gives security and engineering teams a single control point for AI traffic, with built in protection against prompt injection, jailbreaks, and other agent specific threats. TrustGate includes a catalogue of over 200 MCP connectors, letting teams integrate agents and tools quickly without custom work for each provider. Unlike closed, proprietary gateways, TrustGate gives teams full visibility into how their AI infrastructure works and the flexibility to adapt it to their own security and compliance requirements. It is built for enterprise scale, with the observability, governance, and reliability needed to run AI workloads in regulated industries like banking, aviation, and energy.
Human and AI shoppers experience your website and tell you why they'd leave. AI persona shoppers browse your real site like customers and narrate the friction in their own words; AI shoppers reveal how ChatGPT, Claude & Gemini see and recommend you. Experience report + AI Readiness Score in ~10 minutes. Free tier, no card. Your website has two kinds of customers now — people and AI assistants — and mocktomer shows you how it feels to be each of them. AI persona shoppers (budget hunters, mobile skimmers, impatient buyers) browse your live site the way real customers do: they hesitate where people hesitate, get lost where people get lost, and then tell you, in their own words, why they'd leave. You get a ranked experience report — every friction moment with severity, real shopper quotes, and a plain-English fix — in about 10 minutes. AI shoppers then reveal how ChatGPT, Claude, and Gemini perceive your site: an AI Readiness Score (0–100), what confuses the assistants, and which competitors they recommend instead of you. Mark findings fixed and send the same shoppers back to confirm the experience actually improved. Night Shift keeps shoppers walking your money paths on a schedule, with Slack, Jira, and webhook alarms the moment something that used to work starts failing. A built-in MCP server means Claude, ChatGPT, and Cursor can send shoppers in and read the reports for you. No code, no snippet — paste a URL and meet your customers.
Persistent context layer for AI agents to connect and reason across business tools. Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.
Ecommerce data and AI video tools for product research, market intelligence, and content creation. Nexscope brings multi-platform ecommerce data, market research, and AI video creation into one workspace. Sellers can analyze products, pricing, keywords, demand, competitors, customers, and advertising signals across leading marketplaces, then use those insights to improve product, listing, advertising, and creative decisions. Teams can also turn product assets into product and UGC-style videos. Ecommerce data can be accessed through APIs, connected to compatible AI tools through MCP, or used through focused skills in supported workflows.
Data integration platform with two-way sync, consolidation, and AI-powered automation. Boost.space is a data integration platform that offers two-way sync, consolidation, and standardization of data. It aims to merge diverse data effortlessly, ensuring real-time accuracy and uniformity across various tools. It is the first AI-Ready Data Sync Platform powered by Model Context Protocol (MCP), allowing users to sync, enrich, and automate across 2,000+ integrations without code. It is designed for enterprise-grade, scalable AI success.
Enables Claude AI to query Twitter, Instagram, TikTok, and Reddit data using natural language. Xpoz MCP (Model Context Protocol) is a social media intelligence server that allows LLMs like Claude AI and ChatGPT to query live data from Twitter/X, Instagram, TikTok, and Reddit using natural language queries. It serves as an alternative to traditional, complex, and costly APIs, bypassing rate limits and API key requirements. Xpoz enables AI agents to perform tasks like social listening, sentiment analysis, competitive analysis, and threat detection using structured social data drawn from over 1.5 billion indexed posts.
Connect any MCP-compatible AI assistant to Debitura's cross-border debt collection platform. Check case status, read partner conversations, get pricing, and submit new collection cases across 183 countries, directly from Claude, Cursor, or VS Code. Debitura is an international debt collection platform that recovers unpaid B2B and B2C invoices in 183 countries through licensed local collection partners, on a no-cure-no-pay basis. The Debitura MCP server exposes that platform to AI assistants through the Model Context Protocol. Point any MCP-compatible client (Claude web and desktop, Claude Code, Cursor, or VS Code) at the remote server and authenticate with your Debitura API key. Your assistant can then check the status and timeline of collection cases, read messages from local collection partners, retrieve pricing and eligibility estimates before submitting, list and upload case documents, message partners, and open new collection cases. Case creation is safety-wrapped: it previews first, requires explicit human confirmation, and is idempotent, so no duplicate cases are created. It is a remote, streamable-HTTP server with no local install, authenticated with an API key passed in an XApiKey header. Finance and operations teams can manage international debt recovery in natural language without leaving their AI assistant.
The First MCP-Native Anti-Detect Browser for AI Agents RoxyBrowser is the world's first AI-native anti-detect browser designed to bridge the gap between AI logic and web execution. While LLMs provide the "brain," RoxyBrowser provides the secure "body" needed to interact with the web without being detected as a bot.