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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Search the Couchbase documentation from your MCP client via a hosted documentation agent.
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.
CB_MCP_TRANSPORT, CB_MCP_HOST, CB_MCP_PORT, CB_AGENT_BASE_URL, CB_AGENT_IP_SALTValues 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": {
"couchbase-guru": {
"command": "uvx",
"args": [
"couchbase-guru"
],
"env": {
"CB_MCP_TRANSPORT": "your-value",
"CB_MCP_HOST": "your-value",
"CB_MCP_PORT": "your-value",
"CB_AGENT_BASE_URL": "your-value",
"CB_AGENT_IP_SALT": "your-value"
}
}
}
}Run this in your terminal
claude mcp add couchbase-guru --env CB_MCP_TRANSPORT=your-value --env CB_MCP_HOST=your-value --env CB_MCP_PORT=your-value --env CB_AGENT_BASE_URL=your-value --env CB_AGENT_IP_SALT=your-value -- uvx couchbase-guruFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"couchbase-guru": {
"command": "uvx",
"args": [
"couchbase-guru"
],
"env": {
"CB_MCP_TRANSPORT": "your-value",
"CB_MCP_HOST": "your-value",
"CB_MCP_PORT": "your-value",
"CB_AGENT_BASE_URL": "your-value",
"CB_AGENT_IP_SALT": "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": {
"couchbase-guru": {
"type": "stdio",
"command": "uvx",
"args": [
"couchbase-guru"
],
"env": {
"CB_MCP_TRANSPORT": "your-value",
"CB_MCP_HOST": "your-value",
"CB_MCP_PORT": "your-value",
"CB_AGENT_BASE_URL": "your-value",
"CB_AGENT_IP_SALT": "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.
CB_MCP_TRANSPORT envCB_MCP_HOST envCB_MCP_PORT envCB_AGENT_BASE_URL 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 Couchbase-Ecosystem, 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: CB_AGENT_IP_SALT
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 (0.1.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker 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.
An MCP server that lets LLMs search the Couchbase documentation from your MCP client. It exposes a single tool, ask_couchbase_docs, which forwards your question to a hosted retrieval-augmented (RAG) documentation agent and returns an answer with source links.
No Couchbase cluster or credentials required. The server talks only to the documentation agent backend, not to your data.
| Tool Name | Description |
|---|---|
ask_couchbase_docs | Answer a question about any Couchbase product, feature, SDK, service, tutorial, or example by searching the official documentation. Returns a natural-language answer followed by the documentation source URLs. |
Ask complete, self-contained questions — the backend has no conversation history, so include the product, version, and language where relevant (e.g. _"How do I create a primary index with the Python SDK in Couchbase Server 7.6?"_).
The server can be run from the prebuilt PyPI package or from source with uv. It works with zero configuration — the public documentation agent is used by default.
{
"mcpServers": { "couchbase-guru": { "command": "uvx", "args": ["couchbase-guru"] } } }
If you already have other MCP servers configured, add this entry to the existing
mcpServersobject.
Clone the repository:
git clone https://github.com/Couchbase-Ecosystem/couchbase-guru.git
Then point your MCP client at it:
{
"mcpServers": { "couchbase-guru": { "command": "uv", "args": [ "--directory", "path/to/cloned/repo/couchbase-guru/", "run", "src/mcp_server.py" ] } } }
path/to/cloned/repo/couchbase-guru/should be the path to the cloned repository on your machine. Don't forget the trailing slash.
All options are optional and can be set via CLI argument or environment variable:
| CLI Argument | Environment Variable | Description | Default |
|---|---|---|---|
--transport | CB_MCP_TRANSPORT | Transport mode: stdio or http | stdio |
--host | CB_MCP_HOST | Host for HTTP transport mode | 127.0.0.1 |
--port | CB_MCP_PORT | Port for HTTP transport mode | 8000 |
--agent-base-url | CB_AGENT_BASE_URL | Base URL of the documentation agent backend. Set this to run against your own self-hosted agent; if unset, the public agent is used. | Public agent |
--agent-ip-salt | CB_AGENT_IP_SALT | Secret salt used to pseudonymize client IPs (HTTP transport). Set a shared value for consistent hashing across multiple instances; a local salt is generated when unset. | Auto-generated |
Check the installed version with:
uvx couchbase-guru --version
By default the server uses a shared, public documentation agent, so most users need no setup. If you run your own agent backend, point the server at it:
uvx couchbase-guru --agent-base-url https://your-agent.example.com
The public agent applies fair-use rate limits. To support this, the server sends a pseudonymous device identifier to the backend (in the User-Agent header):
No question content or personal data is persisted by the MCP server itself. If you prefer not to share a rate-limit signal, self-host the agent (see above).
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonmcpServers section.Logs: ~/Library/Logs/Claude (macOS) or %APPDATA%\Claude\Logs (Windows).
Cursor
Logs: in the bottom panel, click Output and select Cursor MCP from the dropdown.
Windsurf Editor
See the Windsurf MCP documentation for details.
VS Code
.vscode/mcp.json in your workspace (or run MCP: Open User Configuration for a global config).servers as the top-level key (not mcpServers): {
"servers": { "couchbase-guru": { "command": "uvx", "args": ["couchbase-guru"] } } }
Start/Stop/manage the server.See the VS Code MCP docs for details.
JetBrains IDEs
Logs: Help > Show Log in Finder (Explorer) > mcp > couchbase-guru.
The server can run in Streamable HTTP mode so multiple clients can connect to one instance. Check that your MCP client supports this transport first.
uvx couchbase-guru --transport=http --port=8000
The server will be available at http://localhost:8000/mcp:
{
"mcpServers": { "couchbase-guru-http": { "url": "http://localhost:8000/mcp" } } }
This mode does not include authorization support.
Build the image:
docker build -t couchbase-guru .
Run it (stdio by default; no credentials needed):
{
"mcpServers": { "couchbase-guru-docker": { "command": "docker", "args": ["run", "--rm", "-i", "couchbase-guru"] } } }
For HTTP transport, publish the port and set the transport:
docker run --rm -i \
-e CB_MCP_TRANSPORT=http \ -e CB_MCP_HOST=0.0.0.0 \ -e CB_MCP_PORT=8000 \ -p 8000:8000 \ couchbase-guru
uv/uvx is installed and on your PATH. You may need to provide an absolute path to uv/uvx in the command field.--agent-base-url.uv sync to refresh dependencies.Unit tests run offline (the backend is mocked):
uv sync --extra dev
uv run pytest tests/
Integration tests exercise the tool end-to-end against a live agent backend and are opt-in:
CB_MCP_RUN_INTEGRATION=1 uv run pytest tests/test_docs_tools.py
By default they use the public agent; set CB_AGENT_BASE_URL to target a different backend.
Contributions are welcome! To report a bug, request a feature, or contribute improvements, open a GitHub issue.
See CONTRIBUTING.md for developer setup (environment with uv, linting/formatting with Ruff, pre-commit hooks, and project structure).
# Clone and set up
git clone https://github.com/Couchbase-Ecosystem/couchbase-guru.git cd couchbase-guru
uv sync --extra dev
uv run pre-commit install
We appreciate your interest in this project! It is Couchbase community-maintained, which means it is not officially supported by our support team. Our engineers monitor and maintain this repo and will try to resolve issues on a best-effort basis. Please keep all inquiries within GitHub.