Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Self-hosted Markdown memory for AI agents: notes you can read and edit, with hybrid search.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
KYBASE_DATA_DIR, EMBEDDING_PROVIDER, OLLAMA_URL, OLLAMA_MODEL, GOOGLE_API_KEY, OPENAI_API_KEY, DATABASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"kybase": {
"command": "npx",
"args": [
"-y",
"kybase-mcp"
],
"env": {
"KYBASE_DATA_DIR": "your-value",
"EMBEDDING_PROVIDER": "your-value",
"OLLAMA_URL": "your-value",
"OLLAMA_MODEL": "your-value",
"GOOGLE_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"DATABASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add kybase --env KYBASE_DATA_DIR=your-value --env EMBEDDING_PROVIDER=your-value --env OLLAMA_URL=your-value --env OLLAMA_MODEL=your-value --env GOOGLE_API_KEY=your-value --env OPENAI_API_KEY=your-value --env DATABASE_URL=your-value -- npx -y kybase-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kybase": {
"command": "npx",
"args": [
"-y",
"kybase-mcp"
],
"env": {
"KYBASE_DATA_DIR": "your-value",
"EMBEDDING_PROVIDER": "your-value",
"OLLAMA_URL": "your-value",
"OLLAMA_MODEL": "your-value",
"GOOGLE_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"DATABASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"kybase": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"kybase-mcp"
],
"env": {
"KYBASE_DATA_DIR": "your-value",
"EMBEDDING_PROVIDER": "your-value",
"OLLAMA_URL": "your-value",
"OLLAMA_MODEL": "your-value",
"GOOGLE_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"DATABASE_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
KYBASE_DATA_DIR envEMBEDDING_PROVIDER envOLLAMA_URL envOLLAMA_MODEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account Kyrzin, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: GOOGLE_API_KEY, OPENAI_API_KEY, DATABASE_URL
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.4) reached the registry 8 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Persistent memory for AI agents, as a single command:
npx kybase-mcp
No Docker, no database to install, no server to run. The first start creates a local knowledge base under ~/.kybase and speaks MCP over stdio. Your notes are plain Markdown in Postgres — running on your machine, leaving it only if you choose a cloud embedding provider.
This is the same MCP server the full Kybase app exposes over HTTP. Use this package when you want memory for a local agent; use the full app when you also want the web UI, the knowledge graph view, sharing, and access for several agents at once.
Claude Code — .mcp.json in your project, or claude mcp add:
{
"mcpServers": { "kybase": { "command": "npx", "args": ["-y", "kybase-mcp"] } } }
Claude Desktop — the same block in claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json).
Cursor — the same block in .cursor/mcp.json or ~/.cursor/mcp.json.
Several clients on one machine can use it at once: the first process to start owns the database, and the others connect to that process.
Restart the client and ask it to remember something. It gets 18 tools for reading, searching, writing, and linking notes.
Claude Desktop, one click — download kybase-mcp- .mcpb from Releases and open it; the data folder and embedding provider are set in the extension's settings.
The server is listed in the official MCP Registry as io.github.Kyrzin/kybase.
Full-text search works immediately, in English and Russian, accent- and case-insensitive.
Semantic search — finding a note by meaning when it shares no words with your question — needs an embedding provider. The local option is Ollama:
ollama pull embeddinggemma
OLLAMA_URL=http://localhost:11434 npx kybase-mcp
Existing notes are embedded in the background as soon as a provider is available; indexing_status reports progress. Without one, nothing breaks — semantic search simply stays idle.
The embedded database is not a folder of .md files, so this writes the whole vault out as one:
kybase-mcp export vault.zip
Plain Markdown with frontmatter, folders as directories, [[wikilinks]] intact — open it in any editor. It is also exactly the archive the full Kybase app accepts under Settings → Import .zip, so starting here and moving to the web UI later costs one command in each direction.
Every variable is optional.
| Variable | Default | What it does |
|---|---|---|
KYBASE_DATA_DIR | ~/.kybase | Where the database and instance secret live. |
DATABASE_URL | *(unset)* | Point at an existing Kybase Postgres instead of the embedded one. In this mode the package does not run migrations — the app that owns the schema does. |
EMBEDDING_PROVIDER | ollama | ollama, google, or openai. |
OLLAMA_URL | *(unset)* | e.g. http://localhost:11434. Enables semantic search. |
OLLAMA_MODEL | embeddinggemma | Multilingual by default; nomic-embed-text is smaller and English-leaning. |
GOOGLE_API_KEY / OPENAI_API_KEY | *(unset)* | Cloud embedding providers. Picking one sends your note text to that provider. |
The package bundles code from the main repository, so build it from a checkout rather than from this directory alone:
git clone https://github.com/Kyrzin/kybase.git
cd kybase/packages/kybase-mcp npm install # also builds, via the prepare script npm install -g . # puts kybase-mcp on your PATH
Everything is under KYBASE_DATA_DIR:
pgdata/ — the database itself (Postgres compiled to WebAssembly, with pgvector). Copy the directory to back it up.secret — generated on first run, 0600. It encrypts any embedding provider API keys you store. Keep it with the data.run/ — the unix socket the database listens on, in a 0700 directory. It has no password, so file permissions are the access control. Windows cannot listen on a socket path, so there the database binds an unused loopback port instead — reachable by other processes running as you, and never from another machine. KYBASE_EMBEDDED_TCP=1 forces that mode on Unix too, for a data directory on a filesystem that cannot host a socket.Expect the process to hold a few hundred MB of memory while it runs: the embedded database is a full Postgres, and it lives inside it. Pointing DATABASE_URL at a Postgres you already run avoids that entirely.
Note content is plain Markdown and every note is readable through the MCP tools, so an agent can always read the whole vault back out, and kybase-mcp export writes it out as files — see Reading your notes.