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GrantAi Memory MCP server

com.solonai · Updated

Persistent memory for AI agents. Infinite context with sub-millisecond recall.

At a glance

GrantAi Memory is an MCP server in the AI & Memory category. It runs locally over stdio via `npx -y https://github.com/solonai-com/grantai/releases/download/v1.8.5/grantai-mcp-macos-arm64.zip`, and needs GRANTAI_LICENSE_KEY. It exposes 9 tools, including grantai_infer, grantai_teach and grantai_learn. It scores B (63/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 0GitHub stars

One-click install

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install GrantAi Memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install GrantAi Memory in Claude CodeAnthropic's agentic CLI

  1. Add the server

    bash
    claude mcp add grantai -e 'GRANTAI_LICENSE_KEY=<GRANTAI_LICENSE_KEY>' -- npx -y https://github.com/solonai-com/grantai/releases/download/v1.8.5/grantai-mcp-macos-arm64.zip
  2. Fill in your credentials

    Replace <GRANTAI_LICENSE_KEY> with your real value. Keep secrets out of any config file you commit.

  3. Verify it's connected

    bash
    claude mcp list
  4. Sharing it with your team?

    Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

  5. Use it in a session

    Ask Claude to use the tools this server exposes (e.g. grantai_infer, grantai_teach, grantai_learn). It discovers them automatically.

What does GrantAi Memory need from you?

API key — Your GrantAi license key (get one free at solonai.com/grantai/signup)

  • GRANTAI_LICENSE_KEYrequiredsecretEnvironment variable

    Your GrantAi license key (get one free at solonai.com/grantai/signup)

  • GRANTAI_LICENSE_KEYrequiredsecretEnvironment variable

    Your GrantAi license key (get one free at solonai.com/grantai/signup)

  • GRANTAI_LICENSE_KEYrequiredsecretEnvironment variable

    Your GrantAi license key (get one free at solonai.com/grantai/signup)

Pass secrets through your shell environment rather than committing them into a config file.

What tools does GrantAi Memory expose? (9)

Taken from the project's README — the server itself was not queried, so check its docs for the exact schemas.

What the code can do

Source analysis currently covers npm packages only. This server ships as a container image, whose contents are not readable the same way.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

  • Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
  • Downloads at launch — The package is fetched from its registry each run unless you pin a version.
  • Last commit 1 month ago — Actively maintained.
  • 0 GitHub stars — Very little community usage so far.
  • No license declared — Without a license the code is not legally reusable in a commercial project.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 63

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

  • Maintenance30%99%

    Last commit 40 days ago.

  • Adoption20%0%

    0 stars.

  • Transparency20%75%

    3/4: ✓ public source repo, ✗ declared license, ✓ documentation, ✓ discoverable tool list.

  • Provenance15%75%

    Links to its own repository; package linkage unverified.

  • Packaging15%50%

    No pinned version — installs resolve to whatever is latest at launch.

Documentation

Full README

GrantAi

<strong>Deterministic Memory for AI</strong> Local. Private. Secure.

Website • Download • Documentation


Free Edition — one command, no account

The free edition is the full local memory engine as an MCP server: no email, no license key, no trial, and no network after the one-time model download (about 650 MB).

bash
# macOS / Linux
curl -fsSL "https://solonai.com/grantai/install.sh?src=github" | bash
powershell
# Windows 10/11 (PowerShell)
irm "https://solonai.com/grantai/install.ps1?src=github" | iex

The installer verifies both downloads against a published SHA-256 manifest, installs under ~/.grantai/free (Windows: %LOCALAPPDATA%\GrantAi\free), and registers the server with Claude Code, Claude Desktop, Cursor, Gemini CLI and Codex where they are installed. Any other MCP client takes the same command and arguments. Homebrew: brew install solonai/grantai/grantai-free. Air-gapped installs and the full list of what runs where are on the developers page.

The Problem

Every AI system today has the same flaw: it guesses instead of remembers.

RAG (Retrieval-Augmented Generation) converts your documents into vectors — numerical approximations of meaning. When you query, it returns content that is *mathematically similar* to your question. Similar is not the same as correct.

Ask for "HIPAA encryption penalties" and RAG returns chunks that *look like* compliance content. Maybe the right section. Maybe adjacent paragraphs. Maybe hallucinated ranges. You pay for every token retrieved, whether relevant or not.

This is the Retrieval Tax:

Excerpt — the full document is on GitHub.

Maintain GrantAi Memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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