Start, stop, or list mock servers using OpenAPI specs to simulate APIs for frontend development, enabling complete lifecycle management.
MIT
213,552 tools. Last updated 2026-06-19 19:10
"MCP servers for full-stack development, DevOps, Supabase, QA, and AI agent orchestration" matching MCP tools:
- List curated, pre-scored AI skill packages organized by use case. Each package contains vetted skills with trust scores.MIT
- Initialize Next.js DevTools MCP context to mandate documentation-first development. Resets AI knowledge and ensures all queries use official Next.js docs.MIT
- Create a full-stack decentralized application on Aptos blockchain with resources for Move smart contracts, project management, and frontend development.Apache 2.0
- Retrieve the complete technology stack and categorized technographics (e.g., sales, marketing, devops) for bulk businesses.MIT
- Search MCP Registry for servers matching a keyword. Rank results by project tech stack relevance and evaluate GitHub maturity signals.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceA Model Context Protocol (MCP) server that enables multiple AI agents to share memory, coordinate tasks, and collaborate effectively across IDEs and CLI tools.Last updated2412MIT
- Flicense-quality-maintenanceA multi-agent runtime that coordinates six specialized agents through a typed artifact pipeline with 41 RPC methods. It features dynamic autonomy levels and context sufficiency scoring that adjust agent behavior based on the operator's state and task requirements.Last updated
Matching MCP Connectors
130+ QA & dev tools for AI agents: prompt injection, RAG testing, VLM eval, guardrails. Free.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
- Lists all MCP servers configured in your AI client, with environment variables masked. Helps you see existing setups before adding new servers or find exact server names for testing or removal.MIT
- Analyze a project directory to identify its tech stack and get recommendations for MCP servers that integrate with it. Checks already installed servers to show what's missing.MIT
- Search Google AI platform documentation for topics like function calling, Agent Development Kit, or Gemini Pro. Returns matching pages with titles, paths, and excerpts. Supports GEAP and Vertex AI sources. Use get_doc to read full content.MIT
- Search a curated catalog of over 3,500 MCP servers to find the right tool for your workflow. Filter by category, client, or language to narrow results.MIT
- Identify website technology stack including CMS, frameworks, CDN, analytics tools, web servers, and languages through HTTP headers and HTML analysis for passive reconnaissance.MIT
- Generate a structured research plan with task decomposition and model assignments for multi-agent orchestration.MIT
- Browse MCP server categories and see how many servers each category contains. Find what kinds of MCP servers exist.MIT
- Recommends the next MCP server to add by analyzing your current stack and new project context, with reasons.MIT
- Generate a standards-compliant Software Bill of Materials (SBOM) for your AI agent infrastructure by discovering agents, MCP servers, and their dependencies in CycloneDX or SPDX format.Apache 2.0
- Install a group of MCP servers from a built-in stack name or a YAML file. Preview installation with dry_run before making changes.MIT
- Retrieve complete details of an orchestration, including its members and tools, by providing the orchestration ID.MIT
- Retrieves details of all 7 Agent Trust Stack protocols, including purpose, whitepaper links, and implementation status for AI agent trust and coordination.Apache 2.0
- Scan installed MCP servers in your AI agent configuration for security vulnerabilities using 16 scanning engines and receive trust scores.Apache 2.0
- Execute full-stack development tasks using AI agents for rapid prototyping, code generation, and multi-framework project work with file-based collaboration.MIT