--- title: "Hire MCP & A2A Protocol Developers | Vindler" description: "Hire senior developers for Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integration. We build interoperable AI agent systems with standardized tool use and cross-agent communication." url: "https://vindler.solutions/hire/mcp-a2a-developers" locale: "en" updatedAt: "2026-11-12" --- # MCP & A2A Protocol Engineers for Interoperable AI The future of AI is agents that talk to each other. We build production systems with Model Context Protocol (MCP) for standardized tool use and Agent-to-Agent (A2A) protocol for cross-agent communication. Open standards, not vendor lock-in. Tell Us About Your Project Technology Partners [AWS Partner Network](https://aws.amazon.com/partners/)[LangChain](https://www.langchain.com/) Recognized by Clutch [Top Clutch AI Consulting Company Brazil 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch AI Company Brazil 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch AI Company São Paulo 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch Chatbot Company Brazil 2026](https://clutch.co/profile/vindler-solutions) ## What We Build with MCP & A2A From MCP server development to multi-agent orchestration, we deliver protocol-based AI systems that interoperate. ### MCP Server Development Custom MCP servers that expose your business data and tools to AI agents. We build MCP servers for databases, APIs, file systems, and internal tools so any MCP-compatible AI client (Claude Desktop, Cursor, custom agents) can interact with your systems through a standardized protocol. ### A2A Agent Communication Agent-to-Agent protocol implementation for multi-agent systems where agents from different vendors need to coordinate. We handle agent discovery, task delegation, status updates, and result aggregation across heterogeneous AI systems that speak A2A. ### MCP Tool Integration Connect AI agents to your existing tools through MCP. We build integrations for Slack, GitHub, Jira, databases, internal APIs, and custom services. Each tool is exposed as a typed MCP resource with proper authentication, rate limiting, and error handling. ### Enterprise MCP Infrastructure Production MCP deployments with authentication, authorization, audit logging, and multi-tenant isolation. We build MCP gateways that route requests, enforce access policies, and provide observability across all tool interactions. ### Cross-Platform Agent Orchestration Orchestrate agents from different providers (OpenAI, Anthropic, Google) through A2A and MCP. We build systems where agents specialize in different tasks and coordinate through standardized protocols, regardless of the underlying LLM provider. ### MCP & A2A Security Security-first protocol implementation. We handle OAuth 2.0 authentication for MCP servers, TLS encryption for agent communication, input validation to prevent prompt injection through tools, and audit trails for every agent action and tool invocation. Built by Senior Engineers ## Why MCP & A2A Need Engineers Who Understand Protocols MCP and A2A are the HTTP and TCP of the AI agent era. They are protocols, not frameworks. Building production systems on protocols requires a different kind of engineering than connecting API calls. You need to understand transport layers (stdio, SSE, WebSocket), authentication flows (OAuth 2.0 with PKCE), error handling across distributed systems, and the security implications of giving AI agents access to your production tools. Most MCP implementations today are local development tools: connect Claude Desktop to your file system and call it a day. Production MCP is fundamentally different. You need multi-tenant isolation so Agent A cannot access Agent B's tools. You need rate limiting so a runaway agent does not overwhelm your database. You need audit logging so you can trace every tool invocation back to the agent and user that triggered it. And you need all of this without adding 500ms of latency to every tool call. A2A is even newer, and the gap between the specification and production reality is significant. We have built multi-agent systems where agents from different providers coordinate through standardized protocols. We understand the failure modes: what happens when an agent times out mid-task, how to handle partial results, and how to build retry logic that does not duplicate work. When you hire our team, you get engineers who are building the future of agent interoperability, not just reading about it. ## Our Tech Stack We work across the MCP and A2A ecosystem and integrate with the tools your team already uses. MCP (Model Context Protocol) A2A (Agent-to-Agent) Python TypeScript LangChain LangGraph FastAPI OpenAI Anthropic Claude AWS Bedrock Docker OAuth 2.0 WebSockets SSE ## MCP & A2A Projects We Have Delivered Real results from production protocol-based AI deployments. [90% automation rate ### Multi-Agent System with MCP Built a multi-agent architecture using MCP for standardized tool access and A2A for agent coordination. Specialized agents handle research, analysis, and reporting through open protocols. Read Case Study](https://vindler.solutions/case-studies/multi-agent-systems-architecture)[35% increase in customer satisfaction ### MCP-Connected Sales Assistant Connected an AI sales assistant to CRM, inventory, and pricing systems through MCP servers. The agent accesses real-time data through standardized tool calls instead of brittle custom integrations. Read Case Study](https://vindler.solutions/case-studies/ai-sales-assistant-rag)[75% resolved without escalation ### A2A-Enabled Customer Support Deployed a customer support system where specialized agents communicate through A2A protocol. The routing agent delegates to knowledge, billing, and technical agents, each with their own MCP tool connections. Read Case Study](https://vindler.solutions/case-studies/llm-customer-chatbot) ## How We Work A straightforward process from first call to production deployment. Step 1 ### Discovery Call We start with a 30-minute technical conversation to understand your data, your users, and your constraints. No sales pitch. We dig into what you have tried, what failed, and what success looks like. Step 2 ### Architecture Proposal Within a week, we deliver a detailed technical proposal: system architecture, technology choices with rationale, estimated timeline, and cost breakdown. You will know exactly what we plan to build and why. Step 3 ### Build & Ship We build iteratively with weekly demos. You see working software from week one, not slide decks. Every PR is reviewed, every decision is documented, and we transfer knowledge continuously so your team can maintain what we build. ## Frequently Asked Questions ### ### ### ### ### ### ### ## Ready to Build Interoperable AI Agent Systems? Tell us about your MCP or A2A project and we will respond within 24 hours with an initial assessment. Whether you need MCP servers, A2A agent coordination, or help designing your agent protocol architecture. Free 30-minute discovery call Protocol architecture proposal within one week Working MCP server in the first sprint ### Get a Free Assessment Describe your agent interoperability needs and we'll assess how MCP and A2A can connect your AI systems. ## Structured data ```json {"@context":"https://schema.org","@type":"Organization","@id":"https://vindler.solutions/#organization","name":"Vindler Solutions","alternateName":"Vindler","legalName":"Vindler Desenvolvimento de Sistemas de IA Ltda - EPP","url":"https://vindler.solutions","logo":"https://vindler.solutions/logo.png","description":"Vindler is a global AI engineering consultancy specializing in custom AI solutions, LLM integration, and enterprise-grade AI systems.","foundingDate":"2025-06-02","foundingLocation":{"@type":"Place","name":"São Paulo, Brazil"},"taxID":"61.102.920/0001-05","email":"contact@vindler.solutions","telephone":"+1-646-846-5339","numberOfEmployees":{"@type":"QuantitativeValue","minValue":1,"maxValue":10},"areaServed":[{"@type":"Country","name":"United States"},{"@type":"Place","name":"Europe"},{"@type":"Country","name":"Brazil"}],"knowsAbout":["Multi-agent systems","Retrieval-augmented generation","Voice AI agents","LangChain","LangGraph","LiveKit","AWS Bedrock","Model Context Protocol","LLM observability and evaluation"],"founder":{"@type":"Person","@id":"https://vindler.solutions/about#carlos-dutra","name":"Carlos Dutra","jobTitle":"Founder and CEO","url":"https://vindler.solutions/about","sameAs":["https://www.linkedin.com/in/carlosdutra","https://github.com/cdutr"]},"contactPoint":{"@type":"ContactPoint","contactType":"Customer Support","email":"contact@vindler.solutions","telephone":"+1-646-846-5339","url":"https://vindler.solutions/contact","availableLanguage":["English","Portuguese","Spanish"]},"address":[{"@type":"PostalAddress","addressLocality":"São Paulo","addressRegion":"SP","addressCountry":"BR","streetAddress":"Av. 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Instead of building custom integrations for each AI provider, you build one MCP server that exposes your tools, and any MCP-compatible client can use them. Think of it as a USB-C for AI: a standardized interface that works across different AI systems. MCP defines how tools are discovered, how they are called, and how results are returned, with proper typing and error handling."}},{"@type":"Question","name":"What is the Agent-to-Agent (A2A) protocol?","acceptedAnswer":{"@type":"Answer","text":"A2A is Google's open protocol for enabling AI agents from different vendors to communicate and coordinate. While MCP handles agent-to-tool communication, A2A handles agent-to-agent communication: one agent can discover another agent's capabilities, delegate tasks, receive status updates, and collect results. Together, MCP and A2A provide the foundation for interoperable multi-agent systems where agents from OpenAI, Anthropic, Google, and custom providers work together."}},{"@type":"Question","name":"Why should we use MCP instead of custom API integrations?","acceptedAnswer":{"@type":"Answer","text":"Custom integrations are brittle. Every time you switch AI providers or add a new agent, you rebuild the integration layer. MCP gives you a standardized interface that works with any compatible client. Build your MCP server once, and it works with Claude Desktop, Cursor, your custom LangChain agents, and any future MCP-compatible tool. It also provides built-in typing, authentication, and error handling that you would otherwise have to build from scratch for each integration."}},{"@type":"Question","name":"Can MCP work with our existing enterprise systems?","acceptedAnswer":{"@type":"Answer","text":"Yes. We build MCP servers that wrap your existing APIs, databases, and internal tools. Your systems do not need to change. The MCP server acts as an adapter layer that translates between the MCP protocol and your existing interfaces. We handle authentication (connecting to your SSO/OAuth provider), authorization (ensuring agents only access what they should), and data transformation (converting your API responses into MCP-compatible formats)."}},{"@type":"Question","name":"How do you secure MCP servers in production?","acceptedAnswer":{"@type":"Answer","text":"Production MCP security involves multiple layers. Transport security: TLS encryption for all communication. Authentication: OAuth 2.0 with PKCE for client authentication, supporting your existing identity provider. Authorization: fine-grained access control so each agent or user can only access specific tools and resources. Input validation: sanitizing all tool inputs to prevent injection attacks. Audit logging: recording every tool invocation with full context for compliance. Rate limiting: preventing runaway agents from overwhelming your systems."}},{"@type":"Question","name":"Is A2A production-ready?","acceptedAnswer":{"@type":"Answer","text":"A2A is newer than MCP and the ecosystem is still maturing. The protocol specification is solid, but production tooling is limited. We build A2A implementations from the specification, handling the edge cases that the early tooling does not cover: timeout handling, partial result management, agent discovery in dynamic environments, and error recovery across agent boundaries. For teams that need multi-vendor agent coordination today, A2A provides a standardized approach that avoids proprietary lock-in."}},{"@type":"Question","name":"Can you help us contribute to the MCP or A2A ecosystem?","acceptedAnswer":{"@type":"Answer","text":"Yes. We actively follow both protocol specifications and contribute to the ecosystem. We can help you build open-source MCP servers for common tools, contribute protocol extensions for your specific use cases, and engage with the MCP and A2A communities. Building on open protocols means your investment improves the entire ecosystem, and the ecosystem's improvements benefit your systems."}}]} ```