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shibanshu-markdown-mcp

v0.2.0

Published

MCP server for Claude Code — 218x context compression for codebases. Knowledge graphs, navigation routes, auto-updating maps, 3D visualizer. 19 tools. One setup command.

Downloads

18

Readme

shibanshu-markdown-mcp

MCP server that gives Claude Code a structural map of your codebase — so it reads 3 files instead of 300.

The problem

Claude Code reads files one-by-one to understand your repo. A 200-file repo needs 1M+ tokens — 12x Claude's context window. It literally can't fit. Claude works blind.

The solution

One setup. Zero effort. Claude automatically understands your architecture.

claude mcp add -s user shibanshu-markdown npx shibanshu-markdown-mcp

Then in any repo:

You: "Set up this repo for context mapping"

That's it. From now on, every Claude session automatically:

  1. Checks if the map is fresh
  2. Reads the structural navigation guide
  3. Knows your architecture before you ask anything

What it does

setup_repo — one command, four things:

  • Generates context map (.shibanshu/)
  • Installs git hook (map auto-updates on every commit)
  • Adds CLAUDE.md instructions (Claude reads the map automatically)
  • Updates .gitignore

After setup, you never think about it again. Claude just understands your codebase.

Real benchmarks (tested on production repos)

| Repo | Raw tokens | With MCP | Compression | Monthly savings (Sonnet) | |------|-----------|----------|-------------|------------------------| | 42 files | 234,958 | 5,845 | 40:1 | $333 | | 200 files | 1,057,310 | 14,613 | 72:1 | $1,032 | | 924 files | 2,359,465 | 10,812 | 218:1 | $2,325 |

The 924-file benchmark is from a real production repo (resourceai-in), not a synthetic test.

19 tools

| Tool | What it does | |------|-------------| | setup_repo | One-command full setup (map + hook + CLAUDE.md) | | check_map_freshness | Is the map current? Auto-refresh if stale | | enable_auto_mapping | Install git hook for auto-updates | | generate_context_map | Full context map (nav, graph, mind-map, chunks) | | read_context_map | Read generated map files | | generate_graph_json | Knowledge graph with hubs, bridges, orphans | | generate_mind_map | Mermaid mind-map from any file | | generate_3d_graph_viewer | Interactive 3D HTML visualization | | vault_list_files | List files with sizes and word counts | | vault_read_note | Read with auto-extracted headings, tags, links | | vault_write_note | Write/overwrite a file | | vault_create_note | Atomic safe creation (won't overwrite) | | vault_search | Full-text search with context snippets | | extract_links | Wiki-links, markdown links, embeds | | extract_headings | Document outline | | extract_tags | Frontmatter + inline tags | | vault_backlinks | What links to a given file | | create_daily_note | Templated daily note | | publish_static_site | Static HTML site from vault |

How it works

Your 924-file repo (2.3M tokens — 12x context window)
                    ↓
        generate_context_map (0.6 seconds)
                    ↓
    Navigation guide (10,812 tokens — 5% of window)
    ├── 5 prioritized reading routes
    ├── Hub files (most connected, critical)
    ├── Bridge files (connect subsystems)
    ├── Orphan files (dead code)
    ├── Dependency graph
    └── Cluster analysis
                    ↓
    Claude reads 3 targeted files instead of 300
                    ↓
    Right answer. First try. 95% context free for coding.

Install

# Add to Claude Code (one-time)
claude mcp add -s user shibanshu-markdown npx shibanshu-markdown-mcp

# Set up any repo (one-time per repo)
# Just tell Claude: "Set up this repo for context mapping"

License

MIT