Install
$ agentstack add mcp-rytsh-krabby ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
[](https://raw.githubusercontent.com/rytsh/krabby/main/LICENSE) [](https://sonarcloud.io/summary/overall?id=rytsh_krabby) [](https://github.com/rytsh/krabby/actions) [](https://github.com/rytsh/krabby/pkgs/container/krabby) [](https://rytsh.github.io/krabby/)
Krabby indexes your repositories and lets AI agents search code, read documentation, and understand relationships through MCP.
Features
- Repository indexing with automatic background refreshes
- Fast code search and file access
- Architecture and relationship analysis with knowledge graphs
- Optional generated documentation and semantic search
- Web, Confluence, and Jira source indexing
- Web UI, REST API, and MCP support
Run with Docker
With Docker Compose:
docker compose --project-name krabby up -d --pull always
To stop and remove Krabby while keeping its data:
docker compose --project-name krabby down
# Also permanently delete all Krabby data:
# docker compose --project-name krabby down --volumes
Or with Docker directly:
mkdir -p krabby-data
docker run -d \
--name krabby \
-p 8080:8080 \
-v "$(pwd)/krabby-data:/data" \
ghcr.io/rytsh/krabby:latest
Open http://localhost:8080, then add repositories from the UI. The krabby-data volume (or directory when using docker run) keeps repositories, indexes, and settings between container restarts.
> For base path use KRABBYSERVERBASE_PATH environment variable, e.g. -e KRABBY_SERVER_BASE_PATH=/krabby to run behind a reverse proxy.
Add MCP
Go to About section in the UI and follow the instructions to add Krabby to your MCP client configuration.
Click for MCP configuration
Krabby exposes a streamable HTTP MCP endpoint at http://localhost:8080/mcp.
Paste this into your coding agent:
> Add Krabby to my MCP client configuration as a remote streamable HTTP server. > Name it "krabby", use http://localhost:8080/mcp as the URL, and send the > X-Krabby-Tool-Profile: full header on every request. Preserve my existing MCP > servers and tell me if I need to restart the client.
The full profile lets your agent configure Krabby and manage credentials in addition to adding repositories, searching code, reading files, and querying repository relationships.
For client-specific configuration examples, private repository credentials, REST endpoints, MCP tools, memory tuning, and development instructions, see [DETAILS.md](DETAILS.md).
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: rytsh
- Source: rytsh/krabby
- License: MIT
- Homepage: https://rytsh.io/krabby/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.