context-keeper-mcp 0.2.0

MCP server that maintains project context (decisions, pipelines, constraints) across Claude conversations

Context Keeper

Project memory for Claude. Records design decisions, pipeline flows, and constraints so Claude maintains context across conversations.

The Problem

As conversations get long, Claude loses the "why" behind earlier decisions. New conversations start blank. This causes Claude to make changes that break established patterns — like rewriting a pipeline step it doesn't remember exists.

The Solution

Context Keeper gives Claude 9 tools to record and retrieve structured project context:

Tool	Purpose
record_decision	Save a decision with rationale and alternatives
record_pipeline	Save a multi-step workflow with ordering
record_constraint	Save a rule with scope and enforcement level
get_context	Retrieve relevant entries by query, tags, scope, or ID
get_project_summary	Compact overview for conversation start
update_entry	Update any entry by ID
deprecate_entry	Retire an entry with reason
prune_stale	Find entries not verified recently
get_compaction_report	Check if last compaction lost any context

All data stored as human-editable JSON files in .context/ inside your project directory. Zero external dependencies.

Install

pip install context-keeper

Claude Code

claude mcp add --scope user context-keeper -- python /path/to/context-keeper/server.py

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "context-keeper": {
      "command": "python",
      "args": ["/path/to/context-keeper/server.py"],
      "env": {
        "CONTEXT_KEEPER_PROJECT": "/path/to/your/project"
      }
    }
  }
}

Set CONTEXT_KEEPER_PROJECT to the root of your project. If omitted, it uses the current working directory.

How It Works

Recording Context

When you make a design decision:

You: Let's use JSON files instead of SQLite for storage.
Claude: [calls record_decision with summary, rationale, and alternatives]

When you establish a workflow:

You: The deploy pipeline is: run tests, build, push to registry, deploy.
Claude: [calls record_pipeline with ordered steps]

When you set a rule:

You: Never run Conductor from source. Always use the exe.
Claude: [calls record_constraint with rule, reason, and hardness=absolute]

Retrieving Context

At conversation start, Claude calls get_project_summary to see all active decisions, pipelines, and constraints. Before making changes, it calls get_context with relevant tags to check for conflicts.

Relevance Scoring

Without embeddings or external services, Context Keeper scores entries using:

• Tag match — overlap between query and entry tags
• Text match — query words found in summary/rationale/rule text
• Recency — recently verified entries score higher
• Status — active entries prioritized over superseded

Results are capped by a configurable token budget (default: 4000 tokens).

Claude Code Hook Setup

Context Keeper includes hooks that snapshot your context before Claude Code compaction and detect if anything was lost afterward.

Add to your Claude Code hooks config (~/.claude/settings.json):

{
  "hooks": {
    "PreCompact": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "python /path/to/context-keeper/hooks/pre_compact.py"
          }
        ]
      }
    ],
    "Stop": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "python /path/to/context-keeper/hooks/post_compact.py"
          }
        ]
      }
    ],
    "SessionStart": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "python -c \"print('[Context Keeper] At session start: call get_compaction_report first, then get_project_summary. Record new decisions, pipelines, and constraints as they happen.')\""
          }
        ]
      }
    ]
  }
}

Replace /path/to/context-keeper with the actual install path. Set CONTEXT_KEEPER_PROJECT env var if your project isn't in the current working directory.

Windows users: Use forward slashes (C:/Users/.../context-keeper/hooks/pre_compact.py) or double-escaped backslashes in JSON. Single backslashes get mangled by the shell.

The hooks form a complete capture-and-retrieval loop:

• SessionStart — reminds Claude to call get_compaction_report and get_project_summary, and to record new entries throughout the session
• PreCompact — snapshots all active .context/ entries, then prints a capture prompt reminding Claude to review the session and record any unrecorded decisions, constraints, or pipelines before context is compressed
• Stop — compares post-compaction state against the snapshot, writes a diff report if anything changed (idempotent — skips if the snapshot hasn't changed since last comparison)

This closes the capture loop: SessionStart handles retrieval, PreCompact handles capture, Stop handles integrity checking.

Data Storage

your-project/
  .context/
    decisions.json           # Design decisions with rationale
    pipelines.json           # Multi-step workflows
    constraints.json         # Rules and invariants
    config.json              # Token budget, stale threshold
    compaction_snapshot.json  # Pre-compaction snapshot (auto-generated)
    compaction_report.json   # Post-compaction diff report (auto-generated)
    hook.log                 # Hook activity log

All files are human-readable JSON. You can edit them directly. IDs are sequential and readable: dec-001, pipe-001, con-001.

Configuration

Create .context/config.json to customize:

{
  "project_name": "my-project",
  "token_budget": 4000,
  "max_entry_tokens": 1000,
  "stale_threshold_days": 30
}

Cross-Project Context

Query another project's context by passing project_dir:

Claude: [calls get_context with project_dir="/path/to/other-project"]

Or tag entries with other project names for cross-referencing.