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  3. A2areplayreceipt MCP
A2areplayreceipt MCP logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 4:31:55 PM

A2areplayreceipt MCP

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a2afailure-replayauditreceiptsmcp

Hosted remote MCP for replaying A2A failures, classifying errors, issuing receipts, and exporting audit-ready logs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "a2areplayreceipt-mcp": {
      "url": "https://a2areplayreceipt.clauxel.com/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Overview

The a2areplayreceipt-mcp MCP server exposes hosted A2A failure-replay workflows through a Streamable HTTP MCP endpoint. Its tools replay failures, classify agent errors, propose retry plans, issue structured replay receipts, and export failure logs. Bearer-token access is available for production calls, making it relevant to platform teams, release owners, and reviewers investigating failed agent interactions.

Use cases

β€’Replay failed A2A interactions for investigation
β€’Classify agent errors during incident review
β€’Generate retry plans for failed workflows
β€’Issue structured receipts for delivery review
β€’Export failure logs as supporting evidence

Key features

β€’Streamable HTTP MCP endpoint
β€’Bearer-token access for production calls
β€’A2A failure replay
β€’Agent error classification
β€’Structured replay receipts
β€’Failure-log export

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by A2areplayreceipt MCP.

Extracted Tool Capabilities
Streamable HTTP MCP endpoint
Bearer-token access for production calls
A2A failure replay
Agent error classification
Structured replay receipts
Failure-log export

How A2areplayreceipt MCP works

What a2areplayreceipt-mcp MCP server does

The a2areplayreceipt-mcp MCP server provides a remote interface for examining and documenting failures in A2A workflows. It is aimed at teams that need a repeatable way to replay an agent failure, determine the likely error category, consider a retry approach, and preserve the result as reviewable evidence.

The service is hosted at https://a2areplayreceipt.clauxel.com/mcp. Clients connect through MCP rather than running repository source locally. The repository is a public documentation project; it does not include the production implementation, credentials, payment settings, infrastructure configuration, customer records, or private analytics.

How it works

An MCP-compatible client sends tool calls to the hosted Streamable HTTP endpoint. The available workflow can begin with replaying an A2A failure, followed by error classification and retry-plan generation. A replay receipt can then record the outcome, while the failure-log export supports sharing or reviewing the resulting evidence.

The service also publishes a server card at https://a2areplayreceipt.clauxel.com/server-card.json. Its registry identifier is com.clauxel.a2areplayreceipt/a2areplayreceipt-mcp. Production calls use bearer-token access, although the supplied material does not specify token acquisition, request headers, account provisioning, or client configuration syntax.

Setup and configuration

Use an MCP client that can connect to a remote Streamable HTTP server and point it at:

https://a2areplayreceipt.clauxel.com/mcp

The a2areplayreceipt-mcp MCP server is hosted, so the repository itself is not something to build or launch as a local implementation. The documentation identifies bearer tokens as the access method for production calls, but it does not list an environment variable name or provide a complete authentication setup. Consult the project’s hosted documentation or support channel for access and account details.

Tools and capabilities

The published tool set includes:

  • replay_a2a_failure for replaying an A2A failure scenario.
  • classify_agent_error for categorizing an agent error.
  • suggest_retry_plan for producing a proposed retry approach.
  • issue_replay_receipt for creating a structured replay receipt.
  • export_failure_log for exporting failure-log evidence.

The stated capabilities also include structured tool-call output, receipt-oriented evidence export, a public server card, and registry metadata. These features suit workflows where a failure needs more than an informal explanation and should be presented to a reviewer or retained as an audit-oriented record.

Limitations and notes

The a2areplayreceipt-mcp MCP server is documented as a remote service, not as an open-source local server in this repository. The supplied material does not describe the input schema for each tool, the exact receipt format, retention behavior, supported authentication lifecycle, pricing requirements, rate limits, or the A2A systems that can be replayed.

The documentation names developer platform teams, release owners, AI engineering leads, and delivery reviewers as its intended audience. Treat the public repository as reference material for the hosted service rather than evidence that production code or sensitive operational data is available locally.

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about A2areplayreceipt MCP

a2areplayreceipt-mcp is an MCP server that connects MCP clients to a hosted A2A failure-replay service through Streamable HTTP. Its main tools replay A2A failures, classify agent errors, suggest retry plans, issue structured replay receipts, and export failure logs for reviewable evidence.

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Technical Specs & Signals

CategoryπŸ”’Security
More technical detailsExpand β–Ύ
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 7, 2026
8/8 checks healthy over the last 61d
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 20, 2026
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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