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Kdb logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 9:02:01 PM

Kdb

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
debuggingdeveloper-toolsmcpobservability

Time-travel debugging over MCP with reverse execution, breakpoints, stack traces, variable inspection, and trace export.

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
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "kindly-software-kdb": {
      "command": "npx",
      "args": [
        "-y",
        "-p"
      ]
    }
  }
}

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

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Overview

kindly-software/kdb MCP server gives AI clients access to time-travel debugging for running processes. It supports attaching to a process, setting breakpoints, inspecting stack traces and variables, and moving execution forward or backward from captured checkpoints. The server is exposed through MCP and is intended for debugging programs such as Rust applications from clients including Cursor and Claude Code. Reach for it when ordinary forward-only debugging does not provide enough execution history to locate a failure.

Use cases

β€’Debug a crashing process by inspecting its recorded execution
β€’Rewind execution to investigate the cause of a failure
β€’Set breakpoints and inspect variables through an AI client
β€’Export an execution trace for later analysis or auditing

Key features

β€’Bidirectional execution stepping
β€’Process attachment and breakpoint management
β€’Stack trace and variable inspection
β€’Execution trace export
β€’Hash-chain audit logging
β€’SIMD-accelerated stack unwinding

Capabilities & Tool Schemas

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

Extracted Tool Capabilities
Bidirectional execution stepping
Process attachment and breakpoint management
Stack trace and variable inspection
Execution trace export
Hash-chain audit logging
SIMD-accelerated stack unwinding

How Kdb works

What kindly-software/kdb MCP server does

kindly-software/kdb MCP server exposes debugging operations to an AI client through the Model Context Protocol. The documented workflow starts by attaching to a process, capturing a debugging snapshot, and examining execution state. From there, an agent can investigate a failure, move through recorded execution, inspect variables, and export a trace.

The server is designed for time-travel debugging rather than only forward stepping. Its listed capabilities include moving backward to investigate root causes, moving forward from a checkpoint, setting breakpoints with hit counting, obtaining stack traces, reading memory through variable inspection, and producing an execution trace for later use. The README also describes hash-chain integrity for its audit trail and SIMD-accelerated stack unwinding.

How it works

The MCP client runs on the developer’s machine and communicates with a Kindly server over MCP. The README depicts the Kindly server as running on Linux x86_64 while supporting client machines using macOS, Windows, or Linux. It states that no local installation of the debugger is required.

An AI client can call the debugging tools as it works through a process. A typical investigation may attach to a process, set a breakpoint, continue execution, inspect the stack and variables, then step backward after a failure appears. The example in the README uses a process ID from a crashing Rust program, but the material does not define a language-specific compatibility list.

Setup and configuration

The documented package is @kindly-software-inc/kdb. The automatic setup command uses npx to run kdb-configure --auto; the setup flow asks the user to sign in with Google and configure an MCP client. A license key can be supplied to that command, but the README also describes a free Hobby tier.

For manual configuration, add an MCP server named kdb with npx as the command and the package as its argument. The README specifically lists Claude Code and Cursor among the clients that can be configured. The package setup and the hosted debugging architecture are described separately, so deployment details beyond the provided MCP configuration are not specified.

Tools and capabilities

The documented MCP tools are:

  • debugger_attach to connect to a process.
  • debugger_set_breakpoint to create a breakpoint.
  • debugger_continue to resume execution.
  • debugger_step_forward to advance from the current point.
  • debugger_step_backward to rewind execution.
  • debugger_get_stack_trace to retrieve the current stack trace.
  • debugger_get_variables to read variables or memory state.
  • debugger_export_trace to export the execution history.

The feature table also mentions hardware-level breakpoints with hit counting, SIMD-accelerated stack unwinding, and hash-chain logging for audit integrity.

Limitations and notes

kindly-software/kdb MCP server uses a usage-based plan structure. The README lists a free Hobby plan with five sessions per month, while higher tiers add more sessions and features such as unlimited time travel, memory replay, LSH bug search, team audit logs, or compliance support. The material does not state whether every listed debugging feature is available on the free tier.

The documentation identifies the server side as Linux x86_64 and does not provide requirements for the target process, supported programming languages, or debugger permissions. Google sign-in is described for automatic setup, and a license key is supported, but the exact authentication behavior of the MCP calls is not documented. The Discord support link is marked as coming soon in the README.

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

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
88
Package downloads in the last 30 days.
Last commit
9mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Kdb

Add `@kindly-software-inc/kdb` as an MCP server package with `npx`, or run the documented automatic setup command `npx -p @kindly-software-inc/kdb kdb-configure --auto`.

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
PricingFreemium
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthOAuth
ClientsCursor
Last updatedSep 7, 2026
11/11 checks healthy over the last 33d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit9mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Dec 12, 2025
npm downloads88/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
48Quality signal: Fair Β· 48/100How 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 & tools23/30
Adoption & activity3/15
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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Scanned 20d ago via OSV.dev Β· -p (npm)

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