io.github.Kastalien-Research/thoughtbox
Extended reasoning with structured processes, persistence, and workflow guidance
MCP server · by Kastalien-Research
About
io.github.Kastalien-Research/thoughtbox is an MCP server published by Kastalien-Research. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
npm @kastalien-research/thoughtbox (@kastalien-research/thoughtbox on npm)
- npm downloads/week: 44 (2026-10-12)
- npm downloads/month: 192 (2026-10-12)
- Latest version on npm: 1.2.5, published 2026-04-20
- Declared version 1.0.3 is not listed on npm
npm facts come from the public npm registry (registry.npmjs.org, api.npmjs.org). Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio thoughtbox -- npx -y @kastalien-research/thoughtbox[mcp_servers.thoughtbox]
command = "npx"
args = ["-y", "@kastalien-research/thoughtbox"]{
"mcpServers": {
"thoughtbox": {
"command": "npx",
"args": [
"-y",
"@kastalien-research/thoughtbox"
]
}
}
}Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 1.0.3 | Downloads/month (npm): 192 Downloads/week (npm): 44 Forks (GitHub): 20 Stars (GitHub): 66 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
logic-server ai.nocturnus/logic-server
Agent reasoning, memory, and token-optimized context for AI applications.
-
OrgX MCP — Organizational Continuity for AI Agents
Make AI work resumable, reviewable, and provable across agents.
-
Cortex MCP — Multi-Level Reasoning Server
Multi-level reasoning MCP server with configurable depth levels
-
mcp-server ai.packmind/mcp-server
Packmind captures, scales, and enforces your organization's technical decisions.
-
steelmind io.github.stabgan/steelmind
Structured thinking + steel-manning verification for AI agents. Backed by 43+ papers.
-
mcp-server com.quelvio/mcp-server
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
-
elesync io.github.darknodebros/elesync
Private local-first AI workspace for shared context, knowledge, tasks, and memories
-
claude-flow io.github.ruvnet/claude-flow
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
-
mova-flat-runner io.github.mova-compact/mova-flat-runner
Governed AI workflows with human approval gates and audit trails for Claude and MCP clients.
-
Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Teach Claude to orchestrate microservices and business processes with Conductor. This skill adds full workflow lifecycle management: define workflows with any task type (HTTP…
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
Has a listing on Claude Code: claude-plugins-official (5)
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
MCP server for terminal commands, file operations, and process management
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Comprehensive skill for the entire Temporal lifecycle — developing applications, using the Temporal CLI, running and managing Temporal Server, and working with Temporal Cloud.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
Has a listing on Community GitHub marketplaces (5)
-
forkflux-mcp io.github.forkflux/forkflux-mcp
Self-hosted multi-agent collaboration and audit layer for AI-assisted engineering teams
-
Git-native content governance for AI agents — 27 deterministic MCP tools over stdio and HTTP.
-
vibsync com.vibsync/vibsync
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Has a listing on Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
Has a listing on Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
Has a listing on Official MCP Registry (5)
-
logic-server ai.nocturnus/logic-server
Agent reasoning, memory, and token-optimized context for AI applications.
-
OrgX MCP — Organizational Continuity for AI Agents
Make AI work resumable, reviewable, and provable across agents.
-
Cortex MCP — Multi-Level Reasoning Server
Multi-level reasoning MCP server with configurable depth levels
-
mcp-server ai.packmind/mcp-server
Packmind captures, scales, and enforces your organization's technical decisions.
-
steelmind io.github.stabgan/steelmind
Structured thinking + steel-manning verification for AI agents. Backed by 43+ papers.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.