🚦 Branch-Thinking MCP Tool

Name: Branch Thinking
Availability: InStock
Author: LangDB

What’s New (2025-04):

Advanced visualization: clustering (k-means/degree), centrality overlays, edge bundling, and agentic overlays for tasks and priorities

Agentic cache & prefetch: LRU+TTL caches for embeddings, summaries, analytics, and proactive agent cache warming

Enhanced analytics: real-time, multi-branch, and focusNode support; agent-optimized metadata

Upgraded documentation and onboarding for agents and users

Features

🌳 Branch Management: Create, focus, and navigate multiple lines of thought
🔗 Cross-References: Link related thoughts across branches (typed, scored)
💡 AI Insights: Automatic insight and summary generation
🧠 Semantic Search: Find related thoughts using embeddings
📊 Advanced Visualization:
- Node clustering (k-means/degree)
- Centrality overlays (closeness, betweenness)
- Edge bundling
- Task overlays (status, priority, next-action)
- Agentic overlays and metadata for all nodes/edges
- FocusNode and multi-branch visualization
⚡ Agentic Cache & Prefetch:
- LRU+TTL caches for embeddings, summaries, analytics
- Proactive cache warming for agent workflows
🗂️ Persistent Storage: Queryable, extensible, and never lose a thought
🔄 Real-Time & Multi-Branch: Visualize and analyze multiple branches and nodes in real-time
🛠️ Production-Grade: Robust error handling, performance optimizations, and agent/human-friendly APIs

🛠️ Technology Stack

Node.js (18+)
TypeScript (4.x)
@dagrejs/graphlib: Graph structure, algorithms, and analytics
ml-kmeans: Clustering for visualization
lru-cache: LRU+TTL caching for embeddings, summaries, analytics
@xenova/transformers: Embedding and summarization pipelines
@modelcontextprotocol/sdk: MCP protocol and agent integration
chalk: CLI output styling
Mermaid: Gantt/roadmap visualization
pnpm: Fast dependency management

Roadmap (Gantt)


gantt
    title Branch-Thinking MCP Roadmap (2025)
    dateFormat  YYYY-MM-DD
    section Q2 2025
    Advanced Visualization/Analytics :done,      vis1, 2025-04-01,2025-04-20
    Agentic Cache & Prefetch         :done,      cache1, 2025-04-10,2025-04-22
    Enhanced Agentic Docs            :done,      doc1, 2025-04-15,2025-04-25
    Real-time Collaboration          :active,    collab1, 2025-04-20,2025-06-01
    Web Visualization Dashboard      :active,    webviz1, 2025-04-25,2025-06-15
    section Q3 2025
    Plugin System                    :planned,   plugin1, 2025-06-15,2025-07-15
    Mobile/Tablet UI                 :planned,   mobile1, 2025-07-01,2025-08-01
    AI Branch Merging                :planned,   merge1, 2025-07-15,2025-08-15
    Knowledge Base Sync              :planned,   sync1, 2025-08-01,2025-09-01

Why Branch-Thinking?
Summary
Features
Quick Start
Getting Started
Real-World Usage Recipes
Architecture & Flow
Roadmap (Gantt)
Testing & Quality
Security
Accessibility & Internationalization
Troubleshooting & FAQ
Best Practices
Contributing
Changelog
References & Related Projects
Credits
License

Why Branch-Thinking?

Agentic by Design: Built for both human and AI workflows—every command is agent-friendly.
True Branching: Organize, cross-link, and reason over ideas, code, and tasks in parallel.
AI-Native: Semantic search, auto-summarization, and insight generation out-of-the-box.
Persistent & Visual: Never lose a thought—everything is queryable, visualizable, and extensible.

Summary

Branch-Thinking MCP Tool is an advanced agentic platform for managing, visualizing, and reasoning over branching thoughts, tasks, code, and knowledge. It empowers both AI agents and humans to organize complex projects, cross-link ideas, and automate insight generation using a powerful branch-based paradigm. With semantic search, visualization, and persistent task/code management, it is designed for next-generation collaborative and autonomous workflows.

Branch-Thinking MCP Tool is an advanced agentic platform for managing, visualizing, and reasoning over branching thoughts, tasks, code, and knowledge. It empowers both AI agents and humans to organize complex projects, cross-link ideas, and automate insight generation using a powerful branch-based paradigm. With semantic search, visualization, and persistent task/code management, it is designed for next-generation collaborative and autonomous workflows.

Architecture & Flow


flowchart TD
    User([User/Agent 🤖])
    CLI([CLI/API])
    BM[BranchManager 🧠]
    EmbCache[[Embedding/Summary Cache]]
    Storage[(Persistent Storage 💾)]
    Viz([Visualization/Analytics])
    Tasks([Task Extraction])
    Snippets([Code Snippet Storage])

    User-->|Commands/Queries|CLI
    CLI-->|Manage/Query|BM
    BM-->|Cache|EmbCache
    BM-->|Save/Load|Storage
    BM-->|Visualize|Viz
    BM-->|Tasks|Tasks
    BM-->|Snippets|Snippets
    BM-->|Results|CLI
    CLI-->|Output|User

Quick Start

Get up and running in seconds:


pnpm install  # Recommended for speed (or npm install)
pnpm build
node dist/index.js --help  # See available commands

Getting Started

1. Clone & Install


git clone https://github.com/your-org/branch-thinking-mcp.git
cd branch-thinking-mcp
pnpm install  # Or npm install
pnpm build   # Or npm run build

2. Configure (Optional)

For Claude Desktop integration, add to your claude_desktop_config.json:


"branch-thinking": {
  "command": "node",
  "args": [
    "/your-custom-mcp-dir-here/branch-thinking/dist/index.js"
  ]
}

3. Run


node dist/index.js

Real-World Usage Recipes

1. Knowledge Capture & Linking


# Batch capture meeting notes
add-thought dev "Discussed semantic search improvements" note
add-thought dev "Agreed to refactor API" decision
# Link related thoughts
link-thoughts t1 t2 supports "API refactor supports search improvements"

2. Agentic Task Extraction


# Extract and manage tasks from a research branch
extract-tasks research
list-tasks research open
update-task-status task-1 in_progress

3. Visualization for Insight


# Generate and interpret a knowledge graph
visualize dev
# Review AI-generated summary
summarize-branch dev

🧑‍💻 Live Example: Agentic Workflow


# 1. Create a new branch for your project or idea
create-branch "AI Research"

# 2. Add thoughts and observations
add-thought [branchId] "Explore semantic search for agent workflows" analysis
add-thought [branchId] "Test cross-linking and summarization" observation

# 3. Link related thoughts
link-thoughts [thoughtId1] [thoughtId2] supports "Thought 2 validates Thought 1"

# 4. See your knowledge graph
visualize [branchId]

# 5. Extract tasks and get AI review
extract-tasks [branchId]
review-branch [branchId]

Replace [branchId] and [thoughtIdX] with actual IDs from list and history.

Command Reference

Branch Management

Command	Description
`list`	Show all branches with status
`focus [branchId]`	Switch focus to a branch
`history [branchId?]`	Show thought history
`summarize-branch [branchId?]`	AI summary of branch
`review-branch [branchId?]`	AI review of branch
`visualize [branchId?]`	Visual graph of connections

Thought & Insight Management

Command	Description
`insights [branchId?]`	Get AI-generated insights
`crossrefs [branchId?]`	Show cross-references
`hub-thoughts [branchId?]`	List hub thoughts
`semantic-search [query]`	Find similar thoughts
`link-thoughts [from] [to] [type] [reason?]`	Link two thoughts
`add-snippet [content] [tags]`	Save a code snippet
`snippet-search [query]`	Search code snippets
`doc-thought [thoughtId]`	Document a thought

Task Management

Command	Description
`extract-tasks [branchId?]`	Extract actionable items
`list-tasks [branchId] [status] [assignee] [due]`	List/filter tasks
`update-task-status [taskId] [status]`	Update a task’s status
`summarize-tasks [branchId]`	Summarize tasks

AI & Knowledge

Command	Description
`ask [question]`	AI answer from knowledge base

Best Practices

Always start with create-branch to ensure clean context.
Use list and focus to navigate between projects or lines of thought.
Leverage summarize-branch and insights after adding several thoughts to get AI-generated context.
Use link-thoughts to explicitly connect ideas, tasks, or code for richer semantic graphs.
After code changes, always run pnpm lint and pnpm build to catch errors early.
Decompose complex goals into sequences of thought/task/insight commands.
Iterate and adapt: Use feedback from summaries, reviews, and visualizations to refine next actions.
Explicitly specify parameters (branchId, status, assignee, etc.) for precise results.
Use cross-references and multi-hop links to foster creativity and bridge ideas.
Prompt agents (Claude, GPT-4, etc.) to "think step by step" or "use chain of thought" for best results.

Security

All persistent data is stored locally (default: project directory or MCP_STORAGE_PATH)
No external API calls unless configured
Agents/users are responsible for privacy of stored thoughts and tasks
To report security issues, please open an issue or email the maintainer.

Troubleshooting and FAQ

Q: The tool isn't responding! A: Check the MCP server logs and ensure configuration is correct.

Q: How do I reset storage? A: Delete or move the persistent storage directory (see config).

Q: How do I add a new command? A: Extend handleCommand in src/index.ts and document it in the README.

Accessibility and Internationalization

All badges/images have descriptive alt text.
English is the default language; contributions for translations are welcome.
Please open a PR or issue if you want to help localize this tool.

Contributing

Contributions, issues, and feature requests are welcome! Please open a PR or issue on GitHub.

Fork this repo
Create a new branch (git checkout -b feature/your-feature)
Commit your changes
Push to the branch
Open a Pull Request

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