Supabase
by supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Computer or cloud★ 2,993Apache-2.0Updated today
Install
Kubeshark MCP
Overview
Description from the maker (original English)
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
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: Databases & datasets
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.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
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.
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 kubeshark, 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 Databases & datasetsi
- More stars than 0% of the other 953 servers in this category
- Published to the registry more recently than 75% of the other 953 servers in this category
- Basic checks equal to or better than 100% of the other 953 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 Kubeshark MCP 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 (53.6.0) reached the registry 16 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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
MongoDB MCP Server
by mongodb-js
MongoDB Model Context Protocol Server
Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
Install
Elasticsearch MCP Server
by cr7258
MCP server for interacting with Elasticsearch
Runs on your computer★ 315Apache-2.0Updated 14 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.
Network Observability for SREs & AI Agents
Live Demo · Docs
Kubeshark indexes cluster-wide network traffic at the kernel level using eBPF — delivering instant answers to any query using network, API, and Kubernetes semantics.
What you can do:
- Download Retrospective PCAPs — cluster-wide packet captures filtered by nodes, time, workloads, and IPs. Store PCAPs for long-term retention and later investigation.
- Visualize Network Data — explore traffic matching queries with API, Kubernetes, or network semantics through a real-time dashboard.
- See Encrypted Traffic in Plain Text — automatically decrypt TLS/mTLS traffic using eBPF, with no key management or sidecars required.
- Integrate with AI — connect your favorite AI assistant (e.g. Claude, Copilot) to include network data in AI-driven workflows like incident response and root cause analysis.
Get Started
helm repo add kubeshark https://helm.kubeshark.comhelm install kubeshark kubeshark/kubeshark kubectl port-forward svc/kubeshark-front 8899:80
Open http://localhost:8899 in your browser. You're capturing traffic.
For production use, we recommend using an ingress controller instead of port-forward.
Connect an AI agent via MCP:
brew install kubesharkclaude mcp add kubeshark -- kubeshark mcp
Network Data for AI Agents
Kubeshark exposes cluster-wide network data via MCP — enabling AI agents to query traffic, investigate API calls, and perform root cause analysis through natural language.
*"Why did checkout fail at 2:15 PM?"*
*"Which services have error rates above 1%?"*
*"Show TCP retransmission rates across all node-to-node paths"*
*"Trace request abc123 through all services"*
Works with Claude Code, Cursor, and any MCP-compatible AI.
AI Skills
Open-source, reusable skills that teach AI agents domain-specific workflows on top of Kubeshark's MCP tools:
| Skill | Description |
|---|---|
| [Network RCA](skills/network-rca/) | Retrospective root cause analysis — snapshots, dissection, PCAP extraction, trend comparison |
| [KFL](skills/kfl/) | KFL (Kubeshark Filter Language) expert — writes, debugs, and optimizes traffic filters |
Install as a Claude Code plugin:
/plugin marketplace add kubeshark/kubeshark/plugin install kubeshark
Or clone and use directly — skills trigger automatically based on conversation context.
Query with API, Kubernetes, and Network Semantics
Kubeshark indexes cluster-wide network traffic by parsing it according to protocol specifications, with support for HTTP, gRPC, Redis, Kafka, DNS, and more. A single KFL query can combine all three semantic layers — Kubernetes identity, API context, and network attributes — to pinpoint exactly the traffic you need. No code instrumentation required.
KFL reference → · Traffic indexing →
Workload Dependency Map
A visual map of how workloads communicate, showing dependencies, traffic volume, and protocol usage across the cluster.
Traffic Retention & PCAP Export
Capture and retain raw network traffic cluster-wide, including decrypted TLS. Download PCAPs scoped by time range, nodes, workloads, and IPs — ready for Wireshark or any PCAP-compatible tool. Store snapshots in cloud storage (S3, Azure Blob, GCS) for long-term retention and cross-cluster sharing.
Snapshots guide → · Cloud storage →
Features
| Feature | Description |
|---|---|
| Traffic Snapshots | Point-in-time snapshots with cloud storage (S3, Azure Blob, GCS), PCAP export for Wireshark |
| Traffic Indexing | Real-time and delayed L7 indexing with request/response matching and full payloads |
| Protocol Support | HTTP, gRPC, GraphQL, Redis, Kafka, DNS, and more |
| TLS Decryption | eBPF-based decryption without key management, included in snapshots |
| AI Integration | MCP server + open-source AI skills for network RCA and traffic filtering |
| KFL Query Language | CEL-based query language with Kubernetes, API, and network semantics |
| 100% On-Premises | Air-gapped support, no external dependencies |
Install
| Method | Command |
|---|---|
| Helm | helm repo add kubeshark https://helm.kubeshark.com && helm install kubeshark kubeshark/kubeshark |
| Homebrew | brew install kubeshark && kubeshark tap |
| Binary | Download |
Contributing
We welcome contributions. See CONTRIBUTING.md.
License
Apache-2.0