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  2. 🧠 Knowledge & Memory
  3. Bolor Brain MCP
B
Health: ActiveRecent health check succeeded.Last checked 9/8/2026, 1:16:11 AM

Bolor Brain MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).

Cognitive architecture MCP server with memory, learning, and contextual understanding

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "bolor-brain-mcp": {
      "url": "https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT"
    }
  }
}

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

Install Tool Schemas (11) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Capabilities & Tool Schemas (11) ~152 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Bolor Brain MCP.

reason_hybrid

Auto-selects best reasoning approach for any query

reason_symbolic

Forward/backward chaining with facts and rules

reason_knowledge_graph

Graph traversal, path finding, relationship exploration

reason_case_based

Find similar past problems and their solutions

reason_hypothesis

Generate and test hypotheses from observations

reason_analogical

Cross-domain pattern transfer (atom ~ solar system)

Documentation Overview

Bolor Brain MCP

Pure intelligence for Claude Code. Reasoning, memory, and learning -- nothing else.

License: MIT Python 3.11+ MCP Compatible


What Is This?

Bolor Brain is an MCP server that gives Claude Code a brain: structured reasoning, persistent memory, and learning from experience.

Code
User --> Claude Code (Gateway + Executor)
              |
         +----+----+
    Bolor Brain   NSAF
      (MCP)       (MCP)
      THINK       EVOLVE
  • Claude Code = Gateway + tool execution + sessions + permissions
  • Bolor Brain = Reasoning engines + memory + learning + persistence
  • NSAF = Strategy evolution + self-improvement (separate MCP server)

Bolor Brain does NOT execute anything. No file ops, no scheduling, no autonomous loop. Claude Code already does all of that. Bolor Brain only thinks.


Quick Start

1. Install

bash
git clone https://github.com/photoxpedia/bolor-brain-mcp.git
cd bolor-brain-mcp
pip install -e .

2. Configure Claude Code

Add to ~/.claude/mcp-config.json:

config.json
{
  "mcpServers": {
    "bolor-brain": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/bolor-brain-mcp"
    }
  }
}

3. Use

Code
/reason Why is Python popular for data science?
/debug API returns 500 errors under load
/decide PostgreSQL or MongoDB for our app?
/learn-from We fixed the memory leak by increasing connection pool

MCP Tools (11)

Reasoning (6)

ToolWhat It Does
reason_hybridAuto-selects best reasoning approach for any query
reason_symbolicForward/backward chaining with facts and rules
reason_knowledge_graphGraph traversal, path finding, relationship exploration
reason_case_basedFind similar past problems and their solutions
reason_hypothesisGenerate and test hypotheses from observations
reason_analogicalCross-domain pattern transfer (atom ~ solar system)

Memory (4)

ToolWhat It Does
rememberStore a case, fact, node, or edge
recallRetrieve matching cases or facts
learnStore problem/solution/outcome (shortcut for remember)
forgetDelete a case or fact by ID

Utility (1)

ToolWhat It Does
brain_statsCases, facts, nodes, edges count

Skills (6)

SkillWhen To Use
/reasonDeep analysis of any complex problem
/debugSystematic bug hunting with hypothesis testing
/decideEvidence-based technical decisions
/learn-fromStore experiences for future use
/nsafNSAF evolution integration (requires NSAF MCP)
/orchestrateMeta-orchestration combining Bolor Brain + NSAF

Persistence

Brain state persists to ~/.bolor-brain/ as JSON:

Code
~/.bolor-brain/
  cases.json       # Problem -> solution -> outcome
  facts.json       # Symbolic reasoning facts
  knowledge.json   # Knowledge graph (nodes + edges)

Knowledge compounds over time. Solve a bug once, recall the solution instantly next time.


With NSAF

Add NSAF to get evolution capabilities:

config.json
{
  "mcpServers": {
    "bolor-brain": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/bolor-brain-mcp"
    },
    "nsaf": {
      "command": "python3",
      "args": ["nsaf_mcp_server.py"],
      "cwd": "/path/to/nsaf",
      "env": { "PYTHONPATH": "/path/to/nsaf" }
    }
  }
}

Together: Bolor Brain reasons about WHAT to do. NSAF evolves HOW to do it better. Claude Code executes.

See skills/nsaf.md and skills/orchestrate.md for combined workflows.


Testing

bash
pytest tests/ -v
# 376 tests

Project Structure

Code
mcp_server.py                    # MCP server (11 tools)
persistence.py                   # JSON persistence to ~/.bolor-brain/
modules/
  config.py                      # Configuration
  reasoning_engines/
    symbolic_reasoner.py          # Forward/backward chaining
    knowledge_graph.py            # Graph-based knowledge
    case_based_reasoner.py        # 4R cycle (retrieve, reuse, revise, retain)
    hypothesis_engine.py          # Hypothesis generation and testing
    analogical_reasoner.py        # Cross-domain pattern transfer
    hybrid_reasoner.py            # Orchestrates all 5 engines
skills/                          # Claude Code skills
  reason.md, debug.md, decide.md, learn-from.md, nsaf.md, orchestrate.md
tests/                           # 376 tests
AGENT_GUARDRAILS.md              # Production safety guidelines

Author

Bolorerdene Bundgaa

  • Website: bolor.me
  • Email: bolor@ariunbolor.org

License

MIT -- see LICENSE

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
npm downloads
103
Package downloads in the last 30 days.
Last commit
4mo ago
Most recent push to the default branch.
Tools exposed
11
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Bolor Brain MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "bolor-brain-mcp": { "command": "npx", "args": ["-y", "bolor-brain-mcp"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedMay 7, 2026
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 stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 7, 2026
npm downloads103/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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.

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