sqry - Semantic Code Search

Name: sqry - Semantic Code Search
Author: verivus-oss

by verivus-ossversion 33.0.1i★ –iRuns on your computer

Registry nameio.github.verivus-oss/sqry

Install

Overview

Description from the maker (original English)

AST-based semantic code search: 39 tools over 37 languages. Call tracing and impact analysis.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "sqry": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/verivus-oss/sqry-mcp:v33.0.1"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sqry -- docker run -i --rm ghcr.io/verivus-oss/sqry-mcp:v33.0.1

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "sqry": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/verivus-oss/sqry-mcp:v33.0.1"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sqry": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/verivus-oss/sqry-mcp:v33.0.1"
      ]
    }
  }
}

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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account verivus-oss, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5662 servers in this category
Published to the registry more recently than 55% of the other 5662 servers in this category
Basic checks equal to or better than 100% of the other 5662 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is sqry - Semantic Code Search safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (33.0.1) reached the registry 33 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Rust, Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago

Install

README from the maker

Open the README

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.

sqry MCP Server

Version: 33.0.1

MCP Registry name: mcp-name: io.github.verivus-oss/sqry

sqry-mcp exposes sqry semantic code-search tools to Model Context Protocol clients.

Modes

Standalone mode:

sqry-mcp --no-daemon

Daemon-backed mode:

sqry daemon start

sqry daemon load . sqry-mcp --daemon

Standalone mode currently exposes 39 tools. Daemon-hosted MCP exposes a 17-tool subset backed by sqryd. Use dynamic discovery for exact schemas and descriptions:

sqry-mcp --list-tools

MCP clients can also call tools/list, and sqry clients can read sqry://meta/manifest.

Removed in 21.0.0: the sqry_ask natural-language MCP tool was removed. Use sqry_query, semantic_search, and relation_query instead; see Removed features for migration.

Setup

sqry mcp setup --tool claude

sqry mcp setup --tool codex sqry mcp setup --tool gemini

Preview without writing:

sqry mcp setup --tool codex --dry-run

Codex and Gemini use global MCP config and rely on starting the assistant in the target project. Claude project scope can pin a workspace root.

When setup writes a standalone command, expect --no-daemon. Use --daemon only when you have started and loaded sqryd intentionally.

Tool Discovery

Prefer discovery over copying static tables:

MCP tools/list
sqry-mcp --list-tools
sqry://meta/manifest
sqry://docs/tool-guide
sqry://docs/capability-map

The standalone catalog includes tools for symbol search, navigation, relation queries, graph export, impact analysis, semantic diff, duplicate/cycle/unused detection, workspace status, and context propagation.

Quick Start Tool Calls

Use query for string predicates and filters for structured JSON pre-filters:

"name": "semantic_search", "arguments": { "query": "kind:function items:true", "filters": { "language": ["rust"], "visibility": "public" } } }

Use items:true or is_definition:true inside query for definition-only predicates. For list_symbols, use the structured items_only parameter instead:

"name": "list_symbols", "arguments": { "kind": "function", "language": "rust", "items_only": true } }

On pre-V16 snapshots without trustworthy definition signal, these definition-only surfaces return a reindexRequired / reindex-required advisory instead of silently evaluating stale default-false marker data.

Workspaces

MCP resolves workspace context from explicit paths, file-bearing arguments, MCP roots, recent session context, and current working directory fallback.

For multi-root projects, configure a workspace with .sqry-workspace or a VS Code .code-workspace file containing sqry.workspace.

sqry workspace status . --json

`source_root_id`

workspace_status.aggregate.source_root_statuses[].source_root_id is an opaque 8-hex display/correlation token. It is not a path and not a path prefix.

Invalid tool path:

485f1995/src/lib.rs

Valid tool paths:

src/lib.rs

/absolute/path/to/workspace/src/lib.rs

Under redaction, result paths can be rendered with a source-root prefix for display. Use source_root_id only to correlate that display prefix with aggregate status entries. Cleartext source roots appear only in top-level source_roots[] when the selected redaction preset permits them.

Redaction

The MCP runtime default is minimal. For hosted or external LLM providers, standard is the recommended preset unless stricter path privacy is required. strict is available for stronger redaction.

Keep these separate:

Runtime default: minimal
Recommended external-provider preset: standard
Library/environment defaults: see sqry-mcp-redaction docs for embedding-specific behavior

Related Guides

Public MCP guide
Workspace guide
Daemon guide
Troubleshooting

sqry - Semantic Code Search

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

sqry MCP Server

Modes

Setup

Tool Discovery

Quick Start Tool Calls

Workspaces

source_root_id

Redaction

Related Guides

`source_root_id`