Kawa Code MCP
- ✓Actively maintained (<30d)
- !No standard license detected
claude mcp add kawa-mcp -- npx -y @kawacode/mcp{
"mcpServers": {
"kawa-mcp": {
"command": "npx",
"args": ["-y", "@kawacode/mcp"]
}
}
}Resumen de MCP Servers
# Kawa Code MCP
> Team-aware memory for AI coding assistants. Track intent, record decisions, and see when a teammate is editing the same code — in real time, before commit.
`@kawacode/mcp` is the official [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server for [Kawa Code](https://kawacode.ai). It lets Claude Code, Cursor, and any MCP-compatible AI assistant:
- **Remember what you're working on** across sessions, branches, and machines — no more re-explaining the architecture every morning.
- **Surface team conflicts before they happen** — know when a teammate is editing the same file or function in their working copy *right now*, before either of you commits.
- **Capture architectural decisions with their reasoning** — future you (and future AI sessions) inherit the team's accumulated context instead of relitigating choices.
- **Link commits to intent automatically** — every commit gets the *why* attached, not just the diff.
## Prerequisites
### Required
- **Node.js >= 18.0.0** — runtime for the MCP server
- **[Kawa Code](https://kawacode.ai) desktop app running** — kawa.mcp is a thin MCP-to-IPC adapter; all git operations, storage, and API communication happen in Kawa Code
### Optional (for history inference)
- **Anthropic API key** — your own Claude API key, passed as a parameter to the inference tools
- **[GitHub CLI (`gh`)](https://cli.github.com/)** — enables richer data tiers (PR descriptions, review comments, issue discussions). Without `gh`, tiers 2 and 4 are skipped automatically
## Installation
Add the MCP in your AI configuration, for example on Claude Code:
`claude mcp add -s user kawa-intents -- npx -y @kawacode/mcp`
For Cursor AI, install the MCP with `npm install -g @kawacode/mcp` and add it to `~/.cursor/mcp.json`.
```json
{
"mcpServers": {
"kawa-intents": {
"command": "kawacode-mcp"
}
}
}
```
Note that the MCP will not be automatically updated to future versions in this scenario.
To upgrade to a newer release, run `npm update -g @kawacode/mcp`.
## Manual Installation
For the project you want Kawa Code to run on, create a `.mcp.json` file in your project root (recommended for teams — commit it to git):
```json
{
"mcpServers": {
"kawa-intents": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@kawacode/mcp"]
}
}
}
```
## Usage
The MCP server works together with the Kawa Code application, Kawa Code IDE extensions, and AI code generators such as Cursor AI and Claude Code.
## Pre-edit decision check (Claude Code hook)
Optional. When the agent is about to edit code that has prior recorded reasoning attached (an overlapping intent's blocks, or a constraint with the file in `relatedFiles`), the hook surfaces it before the Edit fires. Recommendation maps to action: silent (proceed), advisory context injected (review), or blocked with stderr message (`investigate-upstream`).
Wire it as a Claude Code `PreToolUse` hook in your `~/.claude/settings.json` or project `.claude/settings.json`:
```json
{
"hooks": {
"PreToolUse": [
{
"matcher": "Edit|Write",
"hooks": [
{ "type": "command", "command": "npx -y -p @kawacode/mcp kawacode-on-pre-edit" }
]
}
]
}
}
```
Override paths when blocked:
- **Persistent (recommended):** record a fork decision that supersedes the existing one and retry the Edit.
```
record_decision(type: "fork", supersedes: ["<surfaced-decision-id>"], rationale: "...")
```
- **One-off escape hatch:** add `force: true` to the Edit tool args. The hook acks the surfaced decisions in the session cache and allows the edit. Cache resets when the Kawa Code daemon restarts.
Disable the hook for a session with `KAWA_PRE_EDIT_CHECK=off`.
### Local telemetry (logs)
Every pre-edit check fire (and force-override) appends a JSON line to a daily-rotated file at `~/.kawa-code/logs/pre-edit-decision-check-YYYY-MM-DD.jsonl`. Logs are **local only** — nothing leaves your machine. The defaults keep the last 30 days, capped at 100 MB total (oldest files dropped first).
Each line records what fired, why, and what was filtered out — useful for tuning the recommendation thresholds and spotting false positives over time.
Disable telemetry with `KAWA_PRE_EDIT_TELEMETRY=off`.
## Key Features
- **Real-time team conflict detection** — see when a teammate is editing the same files or lines in their working copy, *before either of you commits*. Most version-control tooling shows you this after the merge conflict; Kawa shows you before.
- **Cross-session AI memory** — your AI assistant picks up where it left off across days, branches, and machines. No re-explaining the architecture every morning.
- **Decision history with reasoning** — record forks, trade-offs, and abandoned approaches with their *why*. Future sessions and teammates inherit the context instead of re-deriving it.
- **Commit ↔ intent linkage** — every commit is automatically associated with the intent that drove it. `git log` shows what changed; Kawa shows why.
- **Smart context retrieval** — relevance-based loading; only what the current task needs.
- **Zero-knowledge encryption** — code blocks encrypted client-side before sync. The Kawa cloud cannot decrypt your team's code.
- **Cross-platform** — works with Claude Code, Cursor, and any MCP-compatible AI assistant.
## Migrating or rewriting a codebase? Transplant its decisions
When you port a codebase to a new language or rebuild it in a fresh repository, the code moves — but the *reasoning* usually doesn't. The source repo's decision history knows why retired approaches were retired, which constraints are load-bearing, and where the security landmines are. With Kawa Code, that history becomes a first-class migration input.
Decisions are scoped per repository, so the new repo won't surface the old repo's history automatically. Transplant them slice by slice as you port — this is the **recall-transplant workflow**:
1. **Recall before porting each slice.** Call `get_relevant_context` against the *source* repo with a description of the subsystem you're about to port (name its key files). This surfaces the forks, constraints, trade-offs, and discoveries that shaped it.
2. **Expand what matters.** Recall returns summaries — call `get_decision_detail` on the load-bearing hits for the full rationale and consequences.
3. **Classify: stack-portable vs stack-bound.** Domain truths port: protocol contracts, cost/scale rationale, security discoveries, "we tried X and retired it" warnings. Mechanics of the old stack don't: build-tooling quirks, runtime workarounds, library-specific fixes. Only the portable ones move.
4. **Re-record the portable ones in the *target* repo** with `record_decision`, citing provenance in the summary or rationale (e.g. `[transplanted from <source-repo> <decision-id>]`). Merge decisions that form one lineage into a single record.
5. **Let the transplants shape the port and its tests.** A transplanted durability rationale should become a test that proves the property survived the rewrite; a retired-approach warning should stop the new stack from reintroducing it.
The payoff compounds: the port doesn't re-litigate settled arguments or faithfully reproduce old bugs, *negative knowledge* survives even though the code that motivated it was deleted long ago, and at cutover the new repo starts with a curated decision corpus instead of an empty one.
The [CLAUDE.md template](./CLAUDE.md.example) ships a compact version of this workflow, so agents set up through the Kawa Code welcome flow follow it automatically.
## Development
```bash
# Watch mode (auto-rebuild on file changes)
npm run dev
# Build TypeScript to JavaScript
npm run build
# Clean build artifacts
npm run clean
# Run the MCP server directly
npm start
```
### Testing the MCP Server
To test the MCP server without integrating it into an AI assistant:
1. Build the project: `npm run build`
2. Run the server: `npm start`
3. The server communicates via stdio (standard input/output)
4. You can send MCP protocol messages via stdin to test tool functionality
### Development Tips
- Use `npm run dev` to auto-rebuild during development
- Check stderr for server logs (stdout is reserved for MCP protocol)
- Ensure Kawa Code is running before testing
## Architecture
```
Claude Code / Cursor AI
↓ MCP Protocol (stdio)
kawa.mcp (this server)
↓ Huginn IPC (Unix socket / Named pipe)
Kawa Code Desktop App
└─ HTTP Client
↓ REST + SSE
Kawa API (cloud)
└─ Team sync & zero-knowledge encryption
```
## Contributing
Contributions are welcome. Please read [CONTRIBUTING.md](CONTRIBUTION.md) and [CLA.md](CLA.md).
## License
This project is source-available under the
Kawa Code Source Available License.
You may run and modify the software for personal or internal use.
See [LICENSE](LICENSE) for details.
Lo que la gente pregunta sobre kawa.mcp
¿Qué es kawacode-ai/kawa.mcp?
+
kawacode-ai/kawa.mcp es mcp servers para el ecosistema de Claude AI. Kawa Code MCP Tiene 0 estrellas en GitHub y se actualizó por última vez 7d ago.
¿Cómo se instala kawa.mcp?
+
Puedes instalar kawa.mcp clonando el repositorio (https://github.com/kawacode-ai/kawa.mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar kawacode-ai/kawa.mcp?
+
Nuestro agente de seguridad ha analizado kawacode-ai/kawa.mcp y le ha asignado un Trust Score de 49/100 (tier: Caution). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene kawacode-ai/kawa.mcp?
+
kawacode-ai/kawa.mcp es mantenido por kawacode-ai. La última actividad registrada en GitHub es de 7d ago, con 0 issues abiertos.
¿Hay alternativas a kawa.mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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