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  3. Aide MCP Server
Aide MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:47:10 PM

Aide MCP Server

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netappragsemantic-searchdocuments

Searches NetApp AI Data Engine documents through a vector-based RAG tool over local stdio.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "aide-mcp-server": {
      "url": "https://lmstudio.ai/docs/app/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ“Š More in Data Platforms

Overview

The aide-mcp-server MCP server connects MCP clients to NetApp AI Data Engine's RAG search API. It exposes the netapp_data_engine_search tool for vector-based semantic document retrieval. The Python server uses stdio transport and authenticates on the first tool call through PKCE or device code flow. Reach for it when an agent needs to search documents indexed in NetApp AI Data Engine.

Use cases

โ€ขSearch NetApp AI Data Engine documents from an MCP client
โ€ขRetrieve semantically similar documents for grounded answers
โ€ขConnect a local assistant to an AIDE RAG API
โ€ขAuthenticate with AIDE using PKCE or device code flow

Key features

โ€ขNetApp AI Data Engine RAG search
โ€ขVector-based semantic retrieval
โ€ขnetapp_data_engine_search tool
โ€ขstdio transport
โ€ขPKCE and device code authentication

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Aide MCP Server.

Extracted Tool Capabilities
NetApp AI Data Engine RAG search
Vector-based semantic retrieval
netapp_data_engine_search tool
stdio transport
PKCE and device code authentication

How Aide MCP Server works

What aide-mcp-server MCP server does

The aide-mcp-server MCP server exposes NetApp AI Data Engine's retrieval-augmented generation search capability to MCP-compatible clients. Its primary function is document retrieval: an agent submits a natural-language query, and the server passes it to the AIDE RAG API, which uses vector-based semantic similarity to find relevant documents.

The repository package is named netapp-aide-mcp, and the exposed MCP tool is netapp_data_engine_search. This makes the server suitable for assistants that need to ground responses in content managed by NetApp AI Data Engine rather than relying only on a model's built-in knowledge. It belongs to the ๐Ÿ”Ž end to end RAG platforms category because it provides the MCP interface to a hosted RAG search system.

How it works

Communication uses the stdio transport, so the server runs locally as a process started by the MCP client. It is not presented as a hosted HTTP MCP endpoint. Most supported desktop clients start the process from their MCP configuration.

Authentication is deferred until the first tool call. With PKCE authentication, the flow opens a browser window. With device code authentication, the server prints a short code and verification details to its console logs; the user completes the flow on a device with browser access. Only these two authentication flows are supported.

Setup and configuration

The aide-mcp-server MCP server requires Python 3.10 or newer and uv. Before launching it, create a .netapp JSON file in the user's home directory. The file needs the AIDE RAG API endpoint, SSL verification behavior, the selected authentication flow, and the corresponding identity-provider endpoints and parameters.

PKCE configuration includes a redirect URI and enables PKCE in the token request parameters. Device code configuration instead specifies a device-code endpoint and the client scope. The repository includes an example configuration file in its Examples directory. Protect the file from access by other users; on Unix-like systems, chmod 600 ~/.netapp is the documented approach.

Run the published package with uvx --from netapp-aide-mcp server, or point uvx at a cloned repository path to run from source. Add the command as a stdio server in the MCP client's JSON configuration.

Tools and capabilities

The aide-mcp-server MCP server provides:

  • netapp_data_engine_search for searching documents through the AIDE RAG API.
  • Vector-based semantic similarity retrieval driven by a query.
  • PKCE authentication for machines with browser access.
  • Device code authentication for environments without a local browser.

Limitations and notes

This server provides search access rather than a general-purpose set of NetApp management operations. The supplied material documents one MCP tool only. It also depends on a correctly formatted .netapp file, valid AIDE and identity-provider settings, Python 3.10+, and uv.

Because the transport is stdio, clients must be able to run local stdio MCP servers. Hosted clients that do not support stdio may not work. Authentication does not begin when the process starts; troubleshooting should focus on the first tool call and, for device code flow, the server console logs. If a client does not invoke the tool, the README suggests explicitly mentioning NetApp AIDE in the prompt.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

Last commit
3mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Aide MCP Server

aide-mcp-server is an MCP server that connects MCP clients to NetApp AI Data Engine's RAG API. Its main tool, netapp_data_engine_search, performs vector-based semantic searches for relevant documents. It runs locally over stdio and supports PKCE authentication or device code authentication when the first search call is made.

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Technical Specs & Signals

Category๐Ÿ“ŠData Platforms
More technical detailsExpand โ–พ
TransportSSE (Remote)
AuthOAuth
LicenseBSD-3-Clause
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedSep 24, 2026
3/8 checks healthy over the last 45d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 1, 2026
35Quality signal: Fair ยท 35/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev ยท https://lmstudio.ai/docs/app/mcp (PyPI)

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