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Thoughtbox

by Kastalien-Researchversion 1.0.3i★ –iRuns on your computer
Registry nameio.github.Kastalien-Research/thoughtbox

Install

Overview

Description from the maker (original English)

Extended reasoning with structured processes, persistence, and workflow guidance

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

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).
  • The registry lists no key to fill in.

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": {
    "thoughtbox": {
      "command": "npx",
      "args": [
        "-y",
        "@kastalien-research/thoughtbox"
      ]
    }
  }
}

Run this in your terminal

claude mcp add thoughtbox -- npx -y @kastalien-research/thoughtbox

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "thoughtbox": {
      "command": "npx",
      "args": [
        "-y",
        "@kastalien-research/thoughtbox"
      ]
    }
  }
}

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": {
    "thoughtbox": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@kastalien-research/thoughtbox"
      ]
    }
  }
}

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.

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 Kastalien-Research, 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 32623 servers in this category
  • Published to the registry more recently than 1% of the other 32623 servers in this category
  • Basic checks equal to or better than 100% of the other 32623 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 Thoughtbox 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (1.0.3) reached the registry 12 months 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, Draugr

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

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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
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Draugr

by draugr-dev

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

Runs on your computerUpdated today
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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.

Thoughtbox

Multi-agent collaborative reasoning that's auditable. Thoughtbox is an MCP server for structured, multi-agent reasoning, with a companion web app for workspace and inspection flows. Every step is recorded as a structured thought in a persistent reasoning ledger that can be visualized, exported, and analyzed.

Runtime modes: Local development can use filesystem or in-memory storage. Deployed mode uses Supabase-backed storage, and the current production MCP server runs on Cloud Run.

*Observatory UI showing a reasoning session with 14 thoughts and a branch exploration (purple nodes 13-14) forking from thought 5.*

Code Mode

Thoughtbox exposes exactly two MCP tools using the Code Mode pattern:

  • `thoughtbox_search` — Write JavaScript to query the operation/prompt/resource catalog. The LLM has full programmatic filtering power over the catalog.
  • `thoughtbox_execute` — Write JavaScript using the tb SDK to chain operations. Access thoughts, sessions, knowledge, notebooks, hub, observability, and protocol tools through a unified namespace.

Workflow: search to discover available operations, then execute code against them. Use console.log() for debugging — output is captured in response logs.

This replaces per-operation tool registration with a two-tool surface that scales without context window bloat.

Multi-Agent Collaboration

The Hub is the coordination layer. Agents register with role-specific profiles, join shared workspaces, and work through a structured problem-solving workflow — all via thoughtbox_execute.

The workflow: register → create workspace → create problem → claim → work → propose solution → peer review → merge → consensus

Workspace primitives:

  • Problem — A unit of work with dependencies, sub-problems, and status tracking (open → in-progress → resolved → closed)
  • Proposal — A proposed solution with a source branch reference and review workflow
  • Consensus — A decision marker tied to a thought reference for traceability
  • Channel — A message stream scoped to a problem for discussion

Agent Profiles: MANAGER, ARCHITECT, DEBUGGER, SECURITY, RESEARCHER, REVIEWER — each provides domain-specific mental models and behavioral priming.

28 operations across identity, workspace management, problems, proposals, consensus, channels, and status reporting.

Auditable Reasoning

Every thought is a node in a graph — numbered, timestamped, linked to its predecessors, and persisted across sessions. This creates an auditable trail of how conclusions were reached.

Agents can think forward, plan backward, branch into parallel explorations, and revise earlier conclusions. Each pattern is a first-class operation:

PatternDescriptionUse Case
ForwardSequential 1→2→3→N progressionExploration, discovery, open-ended analysis
BackwardStart at goal (N), work back to start (1)Planning, system design, working from known goals
BranchingFork into parallel explorations (A, B, C...)Comparing alternatives, A/B scenarios
RevisionUpdate earlier thoughts with new informationError correction, refined understanding

Each thought carries a semantic thoughtType (reasoning, decision_frame, action_report, belief_snapshot, assumption_update, context_snapshot, progress) that classifies *what kind* of thought it is, orthogonal to the process pattern used.

See the [Patterns Cookbook](src/resources/docs/thoughtbox-patterns-cookbook.md) for comprehensive examples.

Real-Time Observability

The Observatory is a built-in web UI at http://localhost:1729 for watching reasoning unfold live.

  • Live Graph — thoughts appear as nodes in real-time via WebSocket
  • Branch Navigation — branches collapse into clickable stubs; drill in and back out
  • Detail Panel — click any node to view full thought content
  • Multi-Session — switch between active reasoning sessions
  • Deep Analysis — analyze sessions for reasoning patterns, cognitive load, and decision points

The full observability stack includes OpenTelemetry tracing, Prometheus metrics, and Grafana dashboards.

Knowledge & Reasoning Tools

Knowledge Graph — Persistent memory across sessions. Capture insights, concepts, workflows, and decisions as typed entities with typed relations (BUILDS_ON, CONTRADICTS, SUPERSEDES, etc.) and visibility controls (public, agent-private, team-private).

Notebooks — Interactive literate programming combining documentation with executable JavaScript/TypeScript in isolated environments.

Client Compatibility

Thoughtbox is currently optimized for Claude Code. We are actively working on supporting additional MCP clients. Due to variation in capability support across the MCP ecosystem — server features (prompts, resources, tools), client features (roots, sampling, elicitation), and behaviors like listChanged notifications — we implement custom adaptations for many clients.

If you're using a client other than Claude Code and encounter issues, please open an issue describing your client and the problem.

Installation

Thoughtbox runs as a Docker-based MCP server. It requires Docker and Docker Compose.

Quick Start
git clone https://github.com/Kastalien-Research/thoughtbox.git

cd thoughtbox docker compose up --build

This starts Thoughtbox and the full observability stack. The MCP server listens on port 1731 and the Observatory UI is available at http://localhost:1729.

MCP Client Configuration

Since Thoughtbox uses HTTP transport, configure your MCP client to connect via URL.

Claude Code

Add to your ~/.claude/settings.json or project .claude/settings.json:

{

"mcpServers": { "thoughtbox": { "url": "http://localhost:1731/mcp" } } }

To connect through the observability sidecar (adds OpenTelemetry tracing):

{

"mcpServers": { "thoughtbox": { "url": "http://localhost:4000/mcp" } } }

Cline / VS Code

Add to your MCP settings or .vscode/mcp.json:

{

"servers": { "thoughtbox": { "url": "http://localhost:1731/mcp" } } }

Usage Examples

Forward Thinking — Problem Analysis
Thought 1: "Users report slow checkout. Let's analyze..."

Thought 2: "Data shows 45s average, target is 10s..." Thought 3: "Root causes: 3 API calls, no caching..." Thought 4: "Options: Redis cache, query optimization, parallel calls..." Thought 5: "Recommendation: Implement Redis cache for product data"

Backward Thinking — System Design
Thought 8: [GOAL] "System handles 10k req/s with <100ms latency"

Thought 7: "Before that: monitoring and alerting operational" Thought 6: "Before that: resilience patterns implemented" Thought 5: "Before that: caching layer with invalidation" ... Thought 1: [START] "Current state: 1k req/s, 500ms latency"

Branching — Comparing Alternatives
Thought 4: "Need to choose database architecture..."

Branch A (thought 5): branchId="sql-path" "PostgreSQL: ACID compliance, mature tooling, relational integrity"

Branch B (thought 5): branchId="nosql-path" "MongoDB: Flexible schema, horizontal scaling, document model"

Thought 6: [SYNTHESIS] "Use PostgreSQL for transactions, MongoDB for analytics"

Environment Variables

VariableDescriptionDefault
DISABLE_THOUGHT_LOGGINGSuppress thought logging to stderrfalse
THOUGHTBOX_DATA_DIRBase directory for persistent storage~/.thoughtbox
THOUGHTBOX_PROJECTProject scope for session isolation_default
THOUGHTBOX_TRANSPORTTransport type (stdio or http)http
THOUGHTBOX_STORAGEStorage backend (fs, memory, or supabase)fs
THOUGHTBOX_OBSERVATORY_ENABLEDEnable Observatory web UIfalse
THOUGHTBOX_OBSERVATORY_PORTObservatory UI port1729
THOUGHTBOX_OBSERVATORY_CORSCORS origins for Observatory (comma-separated)(none)
THOUGHTBOX_AGENT_IDPre-assigned Hub agent ID(none)
THOUGHTBOX_AGENT_NAMEPre-assigned Hub agent name(none)
SUPABASE_URLSupabase project URL (required for supabase storage)(none)
SUPABASE_SERVICE_ROLE_KEYSupabase service role key (required for supabase storage)(none)
PORTHTTP server port1731
HOSTHTTP server bind address0.0.0.0
NODE_ENVNode environment(none)
PROMETHEUS_URLPrometheus endpoint (Docker)http://prometheus:9090
GRAFANA_URLGrafana endpoint (Docker)http://grafana:3000

Development

For local development (requires Node.js 22+):

pnpm install

pnpm build pnpm dev # Development with hot reload

Testing
npx vitest run              # Unit tests

pnpm test # Full suite (build + vitest) pnpm test:agentic # Agentic tests — full suite (build + run) pnpm test:agentic:tool # Agentic tests — tool-level only pnpm test:agentic:quick # Agentic tests — quick (no build) pnpm test:behavioral # Behavioral contract tests

Docker Compose

docker compose up --build starts the full stack:

ServicePortDescription
thoughtbox1731 (MCP), 1729 (Observatory)Core MCP server + Observatory UI
mcp-sidecar4000Observability proxy with OpenTelemetry
otel-collector4318 (HTTP), 8889 (metrics)OpenTelemetry Collector
prometheus9090Metrics storage + alerting
grafana3001Dashboards and visualization

Persistent data is stored in named volumes: thoughtbox-data, prometheus-data, grafana-data.

Architecture

src/

├── index.ts # Entry point (Streamable HTTP transport) ├── server-factory.ts # MCP server factory with tool registration ├── thought-handler.ts # Core thought recording logic ├── types.ts # Shared type definitions ├── database.types.ts # Supabase generated types ├── code-mode/ # Code Mode tool surface │ ├── search-tool.ts # thoughtbox_search — catalog query via JS │ ├── execute-tool.ts # thoughtbox_execute — operation chaining via tb SDK │ ├── search-index.ts # Frozen catalog of operations/prompts/resources │ └── sdk-types.ts # TypeScript definitions for the tb SDK ├── thought/ # Thought operations and tool definitions ├── sessions/ # Session management ├── persistence/ # Storage layer │ ├── storage.ts # InMemoryStorage with LinkedThoughtStore │ ├── filesystem-storage.ts # FileSystemStorage with atomic writes │ └── supabase-storage.ts # SupabaseStorage for deployed/cloud usage ├── observatory/ # Real-time visualization │ ├── ui/ # Self-contained HTML/CSS/JS │ └── ws-server.ts # WebSocket server for live updates ├── hub/ # Multi-agent collaboration │ ├── identity.ts # Agent registration │ ├── workspace.ts # Workspace management │ ├── problems.ts # Problem tracking with dependencies │ ├── proposals.ts # Solution proposals with reviews │ ├── consensus.ts # Decision recording │ ├── channels.ts # Problem-scoped messaging │ ├── hub-handler.ts # Hub operation dispatcher │ └── operations.ts # 28-operation catalog ├── channel/ # Hub event channels and SSE streaming ├── protocol/ # Ulysses and Theseus protocol tools ├── knowledge/ # Knowledge graph memory ├── auth/ # API key authentication ├── audit/ # Audit manifest generation

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

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