Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/leon4s4/knowledge-base-mcp/claude-mdgit clone --depth 1 https://github.com/Leon4s4/knowledge-base-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/leon4s4/knowledge-base-mcp/claude-md)<a href="https://agentmods.dev/instructions/leon4s4/knowledge-base-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/leon4s4/knowledge-base-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00559 | $0.00559 |
| Opus 5 | $0.00280 | $0.00280 |
| Sonnet 5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
knowledge-base-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a Knowledge Base MCP (Model Context Protocol) Server - a mem0-like memory system for GitHub Copilot that provides persistent knowledge storage and retrieval using local ChromaDB. The server enables GitHub Copilot to save and retrieve contextual information about development environments.
Key Commands
Testing and Development
# Install dependencies
pip install -r requirements.txt
# Test server functionality
python test_server.py
# Test initial knowledge loading
python test_initial_knowledge.py
# Run usage examples
python examples.py
# Start the MCP server
python kb_server.py
No Build/Lint Commands
This is a pure Python project with no formal build, lint, or test runner configuration. Tests are run directly as Python scripts.
Architecture
Core Components
- kb_server.py: Main FastMCP server with ChromaDB integration
- ChromaDB: Local vector database for semantic search using
all-MiniLM-L6-v2embeddings - FastMCP: MCP server framework for tool definitions
Key Tools
kb_save: Save memories with automatic metadata extractionkb_search: Semantic search with vector similaritykb_list: List all saved memories with filteringkb_delete: Remove memories by ID
Memory Types
- Environment: URLs, configurations, dashboard locations
- Code Snippet: Code examples and patterns
- Operational: Troubleshooting steps and fixes
- Architectural: Design decisions and system patterns
Data Flow
- Content saved via
kb_save→ metadata extraction → ChromaDB storage - Search queries → vector embedding → similarity search → ranked results
- All data stored locally in
kb_data/directory
Configuration
Environment Variables
KB_DATA_DIR: ChromaDB storage directory (default:./kb_data)KB_INITIAL_FILE: Optional initial knowledge file to bootstrap database
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 72 lines · 559 tokens per session scan A 2f622b9b6f99
knowledge-base-mcp CLAUDE.md is an instructions file published in the GitHub repository Leon4s4/knowledge-base-mcp (0 stars, last pushed 1y ago), licensed MIT. It adds 559 tokens to every session, about $0.0028 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
automem CLAUDE.md
Instructions for verygoodplugins/automem, covering claude.md, project overview, development commands, setup environment and development.
cavemem CLAUDE.md
Instructions for JuliusBrussee/cavemem, covering cavemem — agent playbook, project identity, non-negotiable rules, architectural rules and layout.
memory-graph CLAUDE.md
Instructions for memory-graph/memory-graph, covering claude.md, master plan, build & test, architecture and key patterns.
recall CLAUDE.md
Instructions for joseairosa/recall, covering claude.md, project context, build & run commands, testing and unit tests with vitest (primary test runner).
mentedb copilot-instructions.md
Copilot instructions for nambok/mentedb, covering mentedb development instructions, project overview, workspace structure, build, test, and lint and key types.
remindb CLAUDE.md
Instructions for radimsem/remindb, covering claude.md, project at a glance, code map, where to read first — don't grep, don't ls and tread carefully — pause before implementing.