Which integrations are available for this server?

Provides access to ZAP's RAG search modes (PLAIN, HYBRID, HYBRID_RERANK) for retrieving code context from a local SQLite index built by the ZAP IntelliJ plugin.

How do I use ZAP RAG MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ZAP RAG MCP Server Search for 'user authentication' using hybrid_rerank mode" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

ZAP RAG MCP Server

by RaviTeja-438

Overview Schema Related Servers Score Discussions

Python

Local

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

Related MCP server: NetApp AIDE MCP Server

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/zap-rag-mcp/SKILL.md for how coding agents should call the tools.

IntelliJ plugin (indexing + chat UI): intellij-code-rag-plugin

License

Apache-2.0

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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