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Enables LLM agents to create annotated bookmarks and narrative trails to document code exploration and decision-making. It organizes these bookmarks into a navi
Enables LLM agents to create annotated bookmarks and narrative trails to document code exploration and decision-making. It organizes these bookmarks into a navigable knowledge graph stored in a local JSON file, helping users track the context and reasoning behind code changes.
Storybook-style annotated bookmarks for code exploration.
Working with an LLM agent on a complex problem often means iterating across multiple files, considering alternatives, making decisions, and building understanding over time. But when the conversation ends, you're left with a wall of chat history and modified files—no clear trail of where you went and why.
Clawmarks solves this by letting agents drop annotated bookmarks as they work. These clawmarks capture the narrative of your exploration: decision points, open questions, alternatives considered, and how they all connect. The result is a navigable map of your coding session, not just a transcript.
Clawmarks is an MCP server that gives LLM agents tools to create annotated bookmarks in your codebase. Clawmarks are organized into trails (narrative journeys), can reference each other (knowledge graph style), and are stored in a simple JSON file that any editor can consume.
Each clawmark captures:
Install globally:
npm install -g clawmarks
Add .clawmarks.json to your global gitignore (one-time setup):
echo ".clawmarks.json" >> ~/.gitignore_global
git config --global core.excludesfile ~/.gitignore_global
Add the MCP server:
Option A: Claude CLI (recommended)
claude mcp add --scope user clawmarks -- clawmarks mcp
Option B: Manual configuration
Add to your project's .mcp.json:
{
"mcpServers": {
"clawmarks": {
"command": "clawmarks",
"args": ["mcp"]
}
}
}
The server stores .clawmarks.json in the current working directory. To override the project root:
claude mcp add --scope user clawmarks -- clawmarks mcp --env CLAWMARKS_PROJECT_ROOT=/path/to/project
Or in .mcp.json:
{
"mcpServers": {
"clawmarks": {
"command": "clawmarks",
"args": ["mcp"],
"env": {
"CLAWMARKS_PROJECT_ROOT": "/path/to/project"
}
}
}
}
| Tool | Description |
|---|---|
create_trail |
Create a new trail to organize related clawmarks |
list_trails |
List all trails (optionally filter by status) |
get_trail |
Get trail details with all its clawmarks |
archive_trail |
Archive a completed trail |
| Tool | Description |
|---|---|
add_clawmark |
Add an annotated bookmark at a file location |
update_clawmark |
Update clawmark metadata |
delete_clawmark |
Remove a clawmark |
list_clawmarks |
List clawmarks with optional filters |
| Tool | Description |
|---|---|
link_clawmarks |
Create a reference from one clawmark to another |
unlink_clawmarks |
Remove a reference |
get_references |
Get all clawmarks connected to a clawmark |
list_tags |
List all tags used across clawmarks |
decision - A decision point that was madequestion - Open question needing resolutionchange_needed - Code that needs modificationreference - Reference point (existing code to understand)alternative - Alternative approach being considereddependency - Something this depends onClawmarks stores data in .clawmarks.json:
{
"version": 1,
"trails": [
{
"id": "t_abc123",
"name": "Auth Refactor Options",
"description": "Exploring JWT vs session-based auth",
"status": "active",
"created_at": "2025-12-17T10:30:00Z"
}
],
"clawmarks": [
{
"id": "c_xyz789",
"trail_id": "t_abc123",
"file": "src/auth/handler.ts",
"line": 42,
"column": 8,
"annotation": "Current session logic - could replace with JWT",
"type": "alternative",
"tags": ["#security", "#breaking-change"],
"references": ["c_def456"],
"created_at": "2025-12-17T10:31:00Z"
}
]
}
The .clawmarks.json file is designed to be consumed by any editor or tool.
| Editor | Plugin |
|---|---|
| Neovim | clawmarks.nvim |
| VS Code | Coming soon |
| Emacs | Contributions welcome |
In a conversation with your LLM agent:
"Let's explore two approaches to refactoring the auth system. Can you create a trail and mark the key decision points?"
The agent will:
You can then browse these clawmarks in your editor to revisit the exploration's journey through your code.
MIT
Add this to claude_desktop_config.json and restart Claude Desktop.
{
"mcpServers": {
"clawmarks": {
"command": "npx",
"args": []
}
}
}