ErrorLens MCP
Provides structured error classification and recovery guidance for MCP agents, turning opaque failures into actionable retry and state information.
README
ErrorLens MCP
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: truepayloads. - 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 a stdio MCP proxy for existing stdio upstream servers.
- Records local JSONL traces with redaction enabled by default.
- 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
git clone 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
Build the project first, then add the companion server to an MCP client:
{
"mcpServers": {
"errorlens": {
"command": "node",
"args": ["/absolute/path/to/mcp-errorlens/dist/companion/diagnostic-server.js"]
}
}
}
Tools:
classify_errorrecommend_recoveryreplay_tracesummarize_failuresgenerate_adapter_rulerules_test
Proxy Mode
Create a local config:
node dist/cli/index.js init --dir .errorlens
Edit .errorlens/config.yaml, then run:
node dist/cli/index.js proxy --config .errorlens/config.yaml
For stdio upstreams, ErrorLens lists the upstream tools and forwards calls. Tool
execution failures are returned as normal MCP tool results with isError: true
and a structured ErrorLens JSON payload. Successful tool responses are preserved.
CLI Commands
node dist/cli/index.js init --dir .errorlens
node dist/cli/index.js doctor --config .errorlens/config.yaml
node dist/cli/index.js report --trace .errorlens/traces.jsonl
node dist/cli/index.js replay --trace .errorlens/traces.jsonl
node dist/cli/index.js traces --trace .errorlens/traces.jsonl
node dist/cli/index.js rules test --config .errorlens/config.yaml
node dist/cli/index.js 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
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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.