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How I Built a Universal MCP ↔ A2A Bridge: Architecture, Protocol Mapping, and What I Learned

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How I Built a Universal MCP ↔ A2A Bridge: Architecture, Protocol Mapping, and What I Learned
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The article discusses the development of Nexarion, a runtime bridge that connects two incompatible AI protocols: Anthropic's MCP and Google's A2A. The author outlines the architecture and protocol mapping used to facilitate communication between these systems. Key features include dynamic tool synthesis and a plugin system for middleware hooks, which enhance the bridge's functionality.

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DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

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Original publisherDEV.to (Top)
Canonical URLhttps://dev.to/vahapogut/how-i-built-a-universal-mcp-a2a-bridge-architecture-protocol-mapping-and-what-i-learned-df3
Publication timeSat, 16 May 2026 22:23:07 +0000
Retrieval time2026-05-16T22:40:19.056Z
Last seen2026-05-16T22:40:19.056Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClustersP_tKSTLMBNM
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Unknown
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Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3935563) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Vahap Ogut Posted on May 16 How I Built a Universal MCP ↔ A2A Bridge: Architecture, Protocol Mapping, and What I Learned #ai #typescript #programming #opensource The AI agent ecosystem is fragmenting into two incompatible standards. On one side, Anthropic's MCP (Model Context Protocol) lets AI models use tools. On the other, Google's A2A (Agent-to-Agent) lets agents collaborate. They can't talk to each other.

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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