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Aieph MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Shared knowledge cache for AI coding agents — reuse an answer once it exists.

About

Shared knowledge cache for AI coding agents — reuse an answer once it exists.

Remote endpoints: streamable-http: https://aieph.dev/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

1 tool verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "dev-aieph-aieph": {
      "url": "https://aieph.dev/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

aieph

your fix, everyone's gain

aieph is a shared answer cache for AI coding assistants.

When an AI coding assistant is about to search the web, a small hook can quietly ask: "Does someone already have the answer?"

If the answer is already in the shared cache, aieph can return it right away — avoiding another trip to the web. If there is no answer, aieph simply gets out of the way.

MISS, timeout, or error? Nothing breaks. The original request continues as usual. That is the whole idea.

Your fix can become everyone's gain.

Why a shared cache?

AI coding assistants often look up the same kinds of things:

  • a familiar error message
  • a library's behavior
  • a configuration detail
  • a solution someone has already found

The first person does the searching. The next person doesn't necessarily need to. aieph gives those answers a place to be shared, and as more people use it, the cache can gradually become more useful.

It's still early, so a cache hit is not guaranteed. Sometimes aieph simply won't have the answer yet — and that's perfectly fine.

How it feels

AI assistant
     │
     │  "I'm about to search..."
     ▼
   aieph
     │
     ├── HIT  → answer is already here
     │
     └── MISS / timeout / error
              │
              ▼
          original search

aieph is designed to stay out of the way. There is no need to change how you work when the cache doesn't have something useful.

Getting started with Claude Code

Claude Code can use aieph with a single PreToolUse hook for WebSearch and WebFetch. A small setup looks like this:

git clone https://github.com/tryaieph/aieph.git

Then, in ~/.claude/settings.json, the relevant hook can look like:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "WebSearch|WebFetch",
        "hooks": [
          {
            "type": "command",
            "command": "node /path/to/aieph/hook/aieph-cache.mjs"
          }
        ]
      }
    ]
  }
}

That's it.

Requirements: Node.js 18+. No account or API key is required.

Optional environment variables:

AIEPH_API_BASE
LOOKUP_TIMEOUT_MS

Cursor support is being prepared.

Removing aieph

If aieph is no longer useful for you, removing the PreToolUse block is enough to return to the original setup.

What gets sent?

aieph is intentionally simple and transparent. Only the search query text is sent for matching. Nothing else is sent. There is no account to create and no personal profile to maintain. When there is no matching answer, the request passes through normally.

Local shared memory

aieph also includes a small local-only memory CLI in cli/. It is separate from the shared answer cache. The idea is simple: write a fact once, and let connected assistants remember it later. This memory stays completely local.

Early days, honest expectations

aieph is still growing. The shared cache is young, so there will be plenty of moments when it doesn't have an answer yet. That's intentional: aieph never needs to be perfect to be useful. A miss should feel exactly like there was no cache at all.

Over time, every useful answer someone discovers has the potential to help the next person.

your fix, everyone's gain.

License

MIT

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