ZAP RAG MCP Server
Read-only MCP server that exposes ZAP's RAG search modes (plain, hybrid, hybrid_rerank) for agents to perform semantic code retrieval.
README
ZAP RAG MCP Server
Standalone Model Context Protocol (MCP) server that exposes only ZAP’s RAG search modes for other agents (Kilo, Cursor, Claude Desktop, Continue, etc.).
Works with the SQLite index built by the ZAP IntelliJ plugin (rag.db).
| Tool | Description |
|---|---|
zap_rag_status |
DB health, chunk/embedding counts, models, modes |
zap_rag_search |
Semantic search: PLAIN / HYBRID / HYBRID_RERANK |
Read-only. No write tools, no agent loop — retrieval only.
Modes
| Mode | Behavior | Needs |
|---|---|---|
| PLAIN | Cosine over code-chunk embeddings | Index + embeddings |
| HYBRID | Weighted class summaries + code | Class summaries at index time |
| HYBRID_RERANK | Hybrid pool → LLM rerank | Chat API key |
Install
cd zap-rag-mcp
python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
Environment
| Variable | Required | Description |
|---|---|---|
ZAP_DB_PATH |
Yes | Absolute path to ZAP rag.db |
ZAP_EMBEDDING_BASE_URL |
Yes* | OpenAI-compatible embeddings base URL |
ZAP_EMBEDDING_API_KEY |
Yes* | API key (ollama ok for local) |
ZAP_EMBEDDING_MODEL |
Yes* | Must match model used when indexing |
ZAP_CHAT_BASE_URL |
Rerank | Chat completions base |
ZAP_CHAT_API_KEY |
Rerank | Chat API key |
ZAP_CHAT_MODEL |
Rerank | Chat model name |
ZAP_RETRIEVAL_MODE |
No | Default mode (PLAIN) |
ZAP_TOP_K |
No | Default top_k (10) |
ZAP_PROJECT_PATH |
No | Scope to this project path |
ZAP_SEARCH_ENTIRE_DATABASE |
No | true = no project filter |
* Falls back to OPENAI_BASE_URL / OPENAI_API_KEY if set.
Find the DB path in IntelliJ: Settings → ZAP → Database path.
Run
$env:ZAP_DB_PATH = "C:\path\to\rag.db"
$env:ZAP_EMBEDDING_BASE_URL = "http://127.0.0.1:11434/v1"
$env:ZAP_EMBEDDING_API_KEY = "ollama"
$env:ZAP_EMBEDDING_MODEL = "nomic-embed-text"
python server.py
MCP over stdio (no HTTP port).
MCP host config (Kilo / Cursor / Claude Desktop)
See mcp.example.json. Example:
{
"mcpServers": {
"zap-rag": {
"command": "C:\\path\\to\\zap-rag-mcp\\.venv\\Scripts\\python.exe",
"args": ["C:\\path\\to\\zap-rag-mcp\\server.py"],
"env": {
"ZAP_DB_PATH": "C:\\path\\to\\rag.db",
"ZAP_EMBEDDING_BASE_URL": "http://127.0.0.1:11434/v1",
"ZAP_EMBEDDING_API_KEY": "ollama",
"ZAP_EMBEDDING_MODEL": "nomic-embed-text"
}
}
}
}
Agent skill
See .grok/skills/searching-zap-rag/SKILL.md (Anthropic Agent Skills: third-person description, progressive references/) for how coding agents should call the tools.
Related
- IntelliJ plugin (indexing + chat UI): intellij-code-rag-plugin
License
Apache-2.0
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