Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Extended reasoning with structured processes, persistence, and workflow guidance
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"thoughtbox": {
"command": "npx",
"args": [
"-y",
"@kastalien-research/thoughtbox"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add thoughtbox -- npx -y @kastalien-research/thoughtboxIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"thoughtbox": {
"command": "npx",
"args": [
"-y",
"@kastalien-research/thoughtbox"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"thoughtbox": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kastalien-research/thoughtbox"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Kastalien-Research bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.3) kam vor 12 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Reelsaw
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.*
Thoughtbox exposes exactly two MCP tools using the Code Mode pattern:
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.
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:
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.
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:
| Pattern | Description | Use Case |
|---|---|---|
| Forward | Sequential 1→2→3→N progression | Exploration, discovery, open-ended analysis |
| Backward | Start at goal (N), work back to start (1) | Planning, system design, working from known goals |
| Branching | Fork into parallel explorations (A, B, C...) | Comparing alternatives, A/B scenarios |
| Revision | Update earlier thoughts with new information | Error 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.
The Observatory is a built-in web UI at http://localhost:1729 for watching reasoning unfold live.
The full observability stack includes OpenTelemetry tracing, Prometheus metrics, and Grafana dashboards.
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.
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
listChangednotifications — 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.
Thoughtbox runs as a Docker-based MCP server. It requires Docker and Docker Compose.
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.
Since Thoughtbox uses HTTP transport, configure your MCP client to connect via URL.
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" } } }
Add to your MCP settings or .vscode/mcp.json:
{
"servers": { "thoughtbox": { "url": "http://localhost:1731/mcp" } } }
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"
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"
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"
| Variable | Description | Default |
|---|---|---|
DISABLE_THOUGHT_LOGGING | Suppress thought logging to stderr | false |
THOUGHTBOX_DATA_DIR | Base directory for persistent storage | ~/.thoughtbox |
THOUGHTBOX_PROJECT | Project scope for session isolation | _default |
THOUGHTBOX_TRANSPORT | Transport type (stdio or http) | http |
THOUGHTBOX_STORAGE | Storage backend (fs, memory, or supabase) | fs |
THOUGHTBOX_OBSERVATORY_ENABLED | Enable Observatory web UI | false |
THOUGHTBOX_OBSERVATORY_PORT | Observatory UI port | 1729 |
THOUGHTBOX_OBSERVATORY_CORS | CORS origins for Observatory (comma-separated) | (none) |
THOUGHTBOX_AGENT_ID | Pre-assigned Hub agent ID | (none) |
THOUGHTBOX_AGENT_NAME | Pre-assigned Hub agent name | (none) |
SUPABASE_URL | Supabase project URL (required for supabase storage) | (none) |
SUPABASE_SERVICE_ROLE_KEY | Supabase service role key (required for supabase storage) | (none) |
PORT | HTTP server port | 1731 |
HOST | HTTP server bind address | 0.0.0.0 |
NODE_ENV | Node environment | (none) |
PROMETHEUS_URL | Prometheus endpoint (Docker) | http://prometheus:9090 |
GRAFANA_URL | Grafana endpoint (Docker) | http://grafana:3000 |
For local development (requires Node.js 22+):
pnpm install
pnpm build pnpm dev # Development with hot reload
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 up --build starts the full stack:
| Service | Port | Description |
|---|---|---|
| thoughtbox | 1731 (MCP), 1729 (Observatory) | Core MCP server + Observatory UI |
| mcp-sidecar | 4000 | Observability proxy with OpenTelemetry |
| otel-collector | 4318 (HTTP), 8889 (metrics) | OpenTelemetry Collector |
| prometheus | 9090 | Metrics storage + alerting |
| grafana | 3001 | Dashboards and visualization |
Persistent data is stored in named volumes: thoughtbox-data, prometheus-data, grafana-data.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo