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Killbottleneck logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 5:31:22 AM

Killbottleneck

User RatingsBe the first to rate and review this MCP server!
View Repository7 GitHub StarsTotal stargazers on GitHub for the source repository (7 stars).Visit Website
goal-managementprocessesself-hostedproject-managementmcp

Self-hosted goal maps and process management for people and AI agents, with optional MCP access and configurable AI providers.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — 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 — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

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

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

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The killbottleneck MCP server connects AI clients to a self-hosted killBottleneck instance for working with goal maps and organizational processes. killBottleneck runs with Docker on infrastructure you control, while its maps, tasks, comments, sharing, and related project data remain on that instance. Reach for it when an agent needs to work alongside people on structured goals without moving core data to a hosted service. The README names Claude Desktop and Claude Code as MCP clients, but the supplied material does not list individual MCP tool names or connection settings.

Use cases

•Map company goals and processes on self-hosted infrastructure
•Let agents collaborate with people on project goal maps
•Track tasks, blockers, and time across projects
•Review daily work from a phone-oriented interface

Key features

•Self-hosted goal map editor
•Agent access through MCP
•Project and process tracking
•Task, comment, and map sharing
•Time tracking and client reporting
•Optional configurable AI providers

Capabilities & Tool Schemas

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

Extracted Tool Capabilities
Self-hosted goal map editor
Agent access through MCP
Project and process tracking
Task, comment, and map sharing
Time tracking and client reporting
Optional configurable AI providers

How Killbottleneck works

What killbottleneck MCP server does

The killbottleneck MCP server gives AI agents a way to work with a self-hosted killBottleneck workspace. The application is built around visual goal maps: users can create nodes and edges, add statuses and notes, maintain multiple maps, comment on goals, and share maps with read or edit access. Public maps and exports to image or PDF are also available in the web application.

The product is intended for joint work by people and agents. Its broader workspace includes projects, processes, tasks, clients, time records, messages, and documents. A mobile-oriented view supports reviewing and completing today’s tasks, adding a task, and reading messages.

How it works

killBottleneck runs as an application on your own server. The documented quick start uses Docker Compose and exposes the application on port 8090 by default. The first registered user becomes the administrator; later users can register or receive invitations from the administration area.

The MCP connection is described in the README as an AI-assistant feature, with Claude Desktop and Claude Code named as supported clients. The supplied material does not specify whether the MCP endpoint uses stdio or HTTP, provide a client configuration example, or enumerate the available MCP tool names. Those details should be checked in the repository’s complete documentation before implementation.

Setup and configuration

Start the application by copying the example environment file and launching the Compose stack:

bash
cp .env.example .env
docker compose up -d

The default installation does not require AI or external services. AI is disabled with KB_AI_PROVIDER=none, and the README states that the default server sends no requests to third-party services. Optional AI modes include OpenAI-compatible APIs, Ollama, a compatible remote API, and a custom endpoint. Separate configuration is available for chat, vision, transcription, and summary generation.

For access beyond a local network, the documentation covers HTTPS and reverse proxies. HTTPS is also needed for browser microphone access except on localhost. The application supports SMTP, Google sign-in and Drive picking, attachments, and other optional features when their settings are supplied.

Tools and capabilities

The killbottleneck MCP server is intended for agent access to the same goal and process information that people manage in the application. Grounded capabilities of the underlying workspace include:

  • Create and edit structured goal maps with nodes, edges, statuses, and notes.
  • Work with projects, tasks, comments, and shared maps.
  • Review task timing through timers and time records.
  • Use project-to-client relationships for time reporting.
  • Combine human work with optional AI planning and map assistance.

The README says AI proposals are presented as cards for confirmation rather than being written without user approval. That behavior describes the built-in assistant; the supplied excerpt does not state whether every MCP mutation follows the same confirmation flow.

Limitations and notes

The project is described as a public beta, including its self-hosted deployment. Installation, reverse proxies, SMTP, and upgrades are still areas being tested. The provided material does not give the MCP server’s complete API surface, authentication model, transport details, or permissions behavior, so those points should not be assumed from the application’s web features alone.

Optional AI changes the data boundary: map data is sent to the endpoint configured by the operator. With AI disabled, the README says data does not leave the server. The software is open in spirit but uses a fair-code license that prohibits reselling it as a hosted service; the excerpt does not provide a short SPDX license name.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
7
Stargazers on the source repository.
npm downloads
497
Package downloads in the last 30 days.
Last commit
4d ago
Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Killbottleneck

killbottleneck is an MCP server that connects AI clients to a self-hosted killBottleneck workspace and its goal maps and processes. Its main capabilities are agent access to structured goals, projects, tasks, comments, and related work data. The README names Claude Desktop and Claude Code as supported MCP clients.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
ClientsClaude Desktop, Claude Code
Last updatedOct 6, 2026
9/9 checks healthy over the last 45d
Views0
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 stars7
GitHub Star CountTotal stargazers on GitHub representing community popularity (7 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 6, 2026
npm downloads497/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
44Quality signal: Fair · 44/100How this signal is calculated ▾
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools15/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — 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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · killbottleneck-mcp (npm)

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