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ErrorLens

БесплатноНе проверен

Provides structured error classification and recovery guidance for MCP agents, turning opaque failures into actionable retry and state information.

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Описание

Provides structured error classification and recovery guidance for MCP agents, turning opaque failures into actionable retry and state information.

README

Structured error recovery for MCP agents.

MCP servers often fail with vague messages. ErrorLens turns those failures into structured, retry-aware, state-aware guidance that agents can use.

Why Use It

When an MCP tool call fails, agents need to know more than "something went wrong." They need to know whether retrying is safe, whether a write may have partially happened, what evidence matters, and what recovery step should come next.

ErrorLens MCP is built for that pressure point:

  • Prevents blind duplicate writes after ambiguous timeouts.
  • Converts opaque upstream failures into stable machine-readable categories.
  • Keeps recovery guidance compact enough for agent context windows.
  • Preserves successful upstream MCP responses while wrapping failures with structured isError: true payloads.
  • Stores privacy-preserving local JSONL traces for replay and reports.
  • Runs locally with no telemetry, no model dependency, and no API key.

What It Does

  • Classifies opaque MCP and tool failures into a compact structured error model.
  • Tells agents whether retrying is safe, whether state may have changed, and what to do next.
  • Exposes a companion MCP server for diagnostics.
  • Runs as an MCP proxy for local stdio and remote Streamable HTTP upstream servers.
  • Records local JSONL traces with redaction enabled by default.
  • Keeps trace data in a per-session OS temp directory and cleans it up on graceful server shutdown.
  • Ships a CLI for init, doctor, traces, replay, report, proxy, and adapter rule tests.

ErrorLens is a reliability layer, not a security sandbox. It does not send traces to a cloud service and it has no model or API-key dependency.

Requirements

  • Node.js 22.12.0 or newer
  • npm
  • Windows, Linux, or macOS

Install

Install from npm:

npm install -g mcp-errorlens
errorlens --help

Or run it without a global install:

npx mcp-errorlens --help

Install the tagged GitHub release from source:

git clone --branch v0.1.0 https://github.com/Master0fFate/ErrorLens-MCP.git
cd ErrorLens-MCP
npm install
npm run build
npm run verify

Run the CLI from source:

node dist/cli/index.js --help

Or link it locally while developing:

npm link
errorlens --help

The compiled package uses portable Node APIs and is designed to work on Windows, Linux, and macOS.

Companion MCP Server

For a global npm install:

{
  "mcpServers": {
    "errorlens": {
      "command": "errorlens-companion",
      "args": []
    }
  }
}

For npx without a global install:

{
  "mcpServers": {
    "errorlens": {
      "command": "npx",
      "args": ["-y", "--package", "mcp-errorlens", "errorlens-companion"]
    }
  }
}

Tools:

  • classify_error
  • recommend_recovery
  • replay_trace
  • summarize_failures
  • generate_adapter_rule
  • rules_test

Proxy Mode

Create a local config:

errorlens init --dir .errorlens

Edit .errorlens/config.yaml, then run:

errorlens proxy --config .errorlens/config.yaml

ErrorLens lists upstream tools and forwards calls over stdio or Streamable HTTP. Tool execution failures are returned as normal MCP tool results with isError: true, machine-readable structuredContent, and a structured ErrorLens JSON payload. Successful tool responses are preserved. Unknown exposed tools remain protocol errors, as required by MCP.

Runtime trace files are session-scoped and live under the operating system's temp directory; the proxy and companion server do not write trace data into the working directory. errorlens init only creates the user-requested configuration directory.

Relative trace and adapter-rule paths are resolved against the config file. Adapter rules can be loaded globally or per upstream server:

rules:
  custom_paths: []

servers:
  github:
    transport: streamable_http
    url: https://example.com/mcp
    headers:
      Authorization: ${GITHUB_AUTH_HEADER}
    adapter_rules:
      - rules/github.yaml

CLI Commands

errorlens init --dir .errorlens
errorlens doctor --config .errorlens/config.yaml
errorlens report --trace .errorlens/traces.jsonl
errorlens replay --trace .errorlens/traces.jsonl
errorlens traces --trace .errorlens/traces.jsonl
errorlens rules test --file ./rules/github.yaml
errorlens proxy --config .errorlens/config.yaml

Demo

The repo includes a fake broken MCP server used by the QA smoke tests:

npm run verify
node dist/qa/companion-smoke.js rate-limit
node dist/qa/proxy-smoke.js write-timeout
node dist/qa/proxy-smoke.js adapter-rule

The proxy demo shows a write-like timeout classified as SIDE_EFFECT_UNKNOWN with retry.safe=false, which prevents blind duplicate writes.

Privacy

  • No telemetry.
  • Local trace files only.
  • Redaction enabled by default.
  • Environment variable values are never printed by doctor.
  • ErrorLens improves recovery semantics; it does not provide formal security isolation.

Development

npm run lint
npm run build
npm test
npm run verify

The CI workflow runs the verification suite across Windows, Linux, and macOS.

from github.com/Master0fFate/ErrorLens-MCP

Установка ErrorLens

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/Master0fFate/ErrorLens-MCP

FAQ

ErrorLens MCP бесплатный?

Да, ErrorLens MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для ErrorLens?

Нет, ErrorLens работает без API-ключей и переменных окружения.

ErrorLens — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить ErrorLens в Claude Desktop, Claude Code или Cursor?

Открой ErrorLens на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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