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MCP Agent Trace Inspector

by dbsectrainerversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.dbsectrainer/mcp-agent-trace-inspector

Install

Overview

Description from the maker (original English)

Step-by-step observability for MCP agent workflows

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: MCP_API_KEY, MCP_JWT_SECRET

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MCP_API_KEY, MCP_JWT_SECRET

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-trace-inspector": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-agent-trace-inspector"
      ],
      "env": {
        "MCP_API_KEY": "your-value",
        "MCP_JWT_SECRET": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agent-trace-inspector --env MCP_API_KEY=your-value --env MCP_JWT_SECRET=your-value -- npx -y mcp-agent-trace-inspector

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-trace-inspector": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-agent-trace-inspector"
      ],
      "env": {
        "MCP_API_KEY": "your-value",
        "MCP_JWT_SECRET": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-trace-inspector": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-agent-trace-inspector"
      ],
      "env": {
        "MCP_API_KEY": "your-value",
        "MCP_JWT_SECRET": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • MCP_API_KEY secret env
    Optional API key for the Streamable HTTP transport (stdio does not require it).
  • MCP_JWT_SECRET secret env
    Optional HMAC-SHA256 secret for Bearer JWTs on the Streamable HTTP transport.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dbsectrainer, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32683 servers in this category
  • Published to the registry more recently than 91% of the other 32683 servers in this category
  • Basic checks equal to or better than 100% of the other 32683 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Agent Trace Inspector safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: MCP_API_KEY, MCP_JWT_SECRET

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP Agent Trace Inspector

Local-first, MCP-native observability for agent workflows. Every tool call, prompt transformation, latency, token estimate, and cost estimate is recorded in a local SQLite database — no cloud account, no API key, and no traces leaving your machine.

Built specifically for MCP rather than bolted onto a generic LLM proxy.

Tools · Configuration · HTTP transport · Verification · Known limitations · Contributing

Overview

mcp-agent-trace-inspector is an MCP server. Agents call its tools to start a trace, record each step they take, and finish the trace. Humans then inspect summaries, compare runs, export a self-contained HTML dashboard, export OTLP/JSON spans, or stream the compliance audit log.

Agent / MCP client

│ trace_start → trace_step → trace_end ▼ MCP Agent Trace Inspector ├── SQLite (~/.mcp/traces.db) ├── JSONL audit log (~/.mcp/trace-inspector-audit.jsonl) └── tools: summaries, diffs, HTML, OTLP/JSON, retention, alerts

Key features

  • Tool-call tracing — inputs, outputs, latency, caller-supplied or automatic token estimates for every step.
  • Persistent local storage — SQLite via Node's built-in node:sqlite; traces survive restarts and never require a service.
  • Self-contained HTML dashboard — error highlighting, step timeline, latency waterfall, responsive layout, and expandable input/output JSON.
  • Cost estimation — offline cl100k_base tokenizer plus a configurable pricing table; no API calls and no billing-account data.
  • Trace comparison — aggregate and step-by-step diffs between two runs.
  • Reasoning-chain extraction — finds reasoning/thinking/planning steps.
  • OTLP/JSON export — standard resourceSpans → scopeSpans → spans documents.
  • Compliance audit log — append-only JSONL of recorded steps, exportable as JSON or CSV with date filtering.
  • Alerts — persisted latency, error-rate, and cost thresholds evaluated when a trace ends; optional Slack or generic webhook delivery.
  • Retention controls — startup purge or explicit archive/delete policy.
  • Two transports — stdio (default) and stateless Streamable HTTP with optional API-key/JWT authentication and rate limiting.

Technology stack

LayerChoice
RuntimeNode.js ≥ 22.13 (ESM, built-in node:sqlite)
LanguageTypeScript 5, strict mode
Protocol@modelcontextprotocol/sdk (tools, resources, prompts)
HTTPExpress 5 + MCP Streamable HTTP transport
StorageSQLite through node:sqlite
Tokenizationgpt-tokenizer (cl100k_base)
CLIyargs
TestsVitest + V8 coverage
Lint / formattingESLint + Prettier
CIGitHub Actions (install, audit, lint, format, test, build)

Requirements

  • Node.js 22.13.0 or newer. node:sqlite first became available in Node 22.5.0 behind --experimental-sqlite; it is unflagged from 22.13.0. This project does not pass the flag.
  • npm.
  • No database server, API key, or external account is required for core tracing.

Quick start (MCP client)

Add the server to your MCP client configuration:

{

"mcpServers": { "trace-inspector": { "command": "npx", "args": ["-y", "mcp-agent-trace-inspector@latest"] } } }

Use a project-specific database:

{

"mcpServers": { "trace-inspector": { "command": "npx", "args": [ "-y", "mcp-agent-trace-inspector@latest", "--db=~/traces/my-project.db" ] } } }

Then ask your agent to trace its own work:

Start a trace named "test-run" with trace_start.

Record a trace_step for each tool you call, including that tool's input and output. Call trace_end when you are done, then call get_trace_summary for the trace.

The summary contains the step count, estimated token total, total recorded latency, wall-clock duration, cost estimate, and reasoning-chain detection. Tracing is explicit: the inspector records steps when the agent calls trace_step; it does not intercept other MCP servers automatically.

From source
npm ci

npm run build node dist/index.js --db=~/.mcp/traces.db

Development mode runs TypeScript directly and logs MCP protocol messages on stderr:

npm run dev -- --db=/tmp/traces.db

Streamable HTTP transport

HTTP mode is useful for a local team instance or a container. It is stateless: every POST gets a fresh MCP server and transport, there is no Mcp-Session-Id, and the endpoint does not offer a server-initiated SSE stream. Send every JSON-RPC message as its own POST /mcp request.

node dist/index.js --db=~/.mcp/traces.db --http-port=3000 --http-host=127.0.0.1

stderr: MCP Agent Trace Inspector HTTP server listening on http://127.0.0.1:3000/mcp

Initialize the endpoint:

curl -s http://127.0.0.1:3000/mcp \

-H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1"}}}'

The response is an SSE frame. Call a tool:

curl -s http://127.0.0.1:3000/mcp \

-H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"list_traces","arguments":{}}}'

BehaviorValue
EndpointPOST /mcp
GET / DELETE /mcp405 with Allow: POST
Default bind address127.0.0.1 (loopback only)
Request body limit10 MB
Rate limit60 requests / 60 s per validated API key or client IP
Auth (optional)X-API-Key and/or Authorization: Bearer
DNS-rebinding guardHost header must be localhost/127.0.0.1 when bound to loopback
HTTP authentication

Set one or both environment variables before starting the server:

MCP_API_KEY=change-me \

MCP_JWT_SECRET=change-me-too \ node dist/index.js --http-port=3000 --http-host=127.0.0.1

  • If MCP_API_KEY is set, every HTTP request must send X-API-Key: .
  • If MCP_JWT_SECRET is set, every HTTP request must send Authorization: Bearer ; exp and nbf claims are checked.
  • If both are set, both are required.
  • The stdio transport ignores both variables.

--http-host=0.0.0.0 is allowed but the server warns. Put TLS and an authenticating reverse proxy in front of any non-loopback deployment; do not expose the raw endpoint to an untrusted network.

When the server is bound to loopback behind a reverse proxy, the proxy must rewrite the Host header to 127.0.0.1: . The loopback DNS-rebinding guard rejects other Host values with 403 by design.

Configuration

CLI flags
FlagDefaultDescription
--db, --db-path~/.mcp/traces.dbSQLite database file. ~ is expanded. :memory: is supported for tests.
--retention-days0On startup, delete traces older than N days. 0 disables.
--pricing-tablebuilt-in tableJSON file of { "model": { "input": number, "output": number } }. Merged over built-in rates.
--no-token-countfalseDisable automatic token counting (token_count values become null).
--http-portunsetStart in HTTP mode on this port (1–65535) instead of stdio.
--http-host127.0.0.1HTTP bind address. Prefer loopback unless authentication and TLS are used.
--help—Show usage.
--version—Print the package version.
Environment variables

The server does not load .env files automatically. Export variables in your shell or configure them in your MCP client.

VariableDefaultPurpose
MCP_API_KEYunsetHTTP only: require X-API-Key on every request.
MCP_JWT_SECRETunsetHTTP only: require a valid HS256 Bearer JWT.
MCP_AUDIT_LOG_PATH~/.mcp/trace-inspector-audit.jsonlCompliance audit log path. Created owner-readable/writable (0600).
MCP_SLACK_WEBHOOKunsetSlack incoming-webhook URL used when an alert fires.
MCP_ALERT_WEBHOOKunsetGeneric JSON webhook URL used when an alert fires.

See .env.example for a copy-paste template. Never commit real secrets or database files; both are ignored by .gitignore.

Tools

The server exposes 13 tools. Tool annotations mark state-changing tools (readOnlyHint: false) and destructive retention (destructiveHint: true).

Trace lifecycle
ToolPurpose
trace_startBegin a trace. Returns a trace_id. Pass "auto" or an empty string for a generated name.
trace_stepRecord one step for a running trace. Steps are rejected after trace_end.
trace_endMark a trace completed, evaluate alert rules, and return fired alerts. Repeated calls are idempotent.

trace_step requires trace_id, tool_name, input (object), and output (object). token_count must be a non-negative integer; latency_ms must be a finite, non-negative number. Caller-supplied token counts are used as-is.

Inspection
ToolPurpose
list_tracesList traces, newest first. Optional positive-integer limit.
get_trace_summaryStep/token/latency totals, duration, cost estimate, reasoning detection.

| compare_traces | Diff two traces: aggregates, tool coverage, and per-position steps.

Only the beginning is shown; read the rest in the repo

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