Openapi K8s Mcp Server

Name: Openapi K8s Mcp Server
Author: waabox

by waabox

A Kubernetes-native MCP server that discovers internal microservices, extracts their OpenAPI specs, and exposes type-safe MCP tools for API introspection and in-cluster endpoint invocation.

0 tools GitHub

No known CVEs

MIT license

Maintained

Last commit 97d ago

Works with most clients

Transport: stdio

0 tools

Grade F

Edit this pageView history

Cloud Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "openapi-k8s-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What Openapi K8s Mcp Server does

A Kubernetes-native MCP server that discovers internal microservices, extracts their OpenAPI specs, and exposes type-safe MCP tools for API introspection and in-cluster endpoint invocation.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Score breakdown

26/100across 5 weighted dimensions

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Security

OSV.dev

No known CVEs.

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Frequently Asked Questions

Is Openapi K8s Mcp Server safe to use?: Openapi K8s Mcp Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Openapi K8s Mcp Server?: Openapi K8s Mcp Server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with Openapi K8s Mcp Server?: Openapi K8s Mcp Server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is Openapi K8s Mcp Server actively maintained?: Openapi K8s Mcp Server is less actively maintained — last commit was 97 days ago.

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OpenAPI MCP Server for Kubernetes

A lightweight MCP (Model Context Protocol) server that runs inside your Kubernetes cluster, crawls your Services and endpoints via the Kubernetes API, auto-detects exposed OpenAPI specs, and builds a live, queryable index of your entire microservice surface area. It normalizes each spec (derefs, merges, fixes inconsistencies), tracks versions, and exposes the whole thing as MCP tools so agents can introspect, list, and invoke endpoints directly over in-cluster networking — essentially turning your microservices into a distributed, self-describing function registry.

Features

Automatic Discovery: Discovers services in Kubernetes namespaces

OpenAPI Parsing: Fetches and parses OpenAPI/Swagger specifications

MCP Integration: Exposes tools via Model Context Protocol

Embedded Database: Uses Apache Derby (no external DB required)

Scheduled Refresh: Configurable auto-refresh (default: every 10 minutes)

Status

Feature	Status
Service discovery via K8s API	✅ Done
OpenAPI 3.x spec fetching & parsing	✅ Done
Persistence in embedded Derby	✅ Done
Basic MCP tools (list, get, invoke)	✅ Done
Rate limiting & exponential backoff	✅ Done
Configurable URL templates	✅ Done
OpenAPI 2.0 / Swagger support	🚧 Planned
Authentication to target services	🚧 Planned
MCP authentication / role-based access	🚧 Planned
Minimal status UI	💭 Maybe later

Feature

Status

Service discovery via K8s API

✅ Done

OpenAPI 3.x spec fetching & parsing

✅ Done

Persistence in embedded Derby

✅ Done

Basic MCP tools (list, get, invoke)

✅ Done

Rate limiting & exponential backoff

✅ Done

Configurable URL templates

✅ Done

OpenAPI 2.0 / Swagger support

🚧 Planned

Authentication to target services

🚧 Planned

MCP authentication / role-based access

🚧 Planned

Minimal status UI

💭 Maybe later

Architecture

┌────────────────────────────────────────────────────────────────┐ │ MCP Server │ ├────────────────────────────────────────────────────────────────┤ │ ┌──────────────┐ ┌──────────────┐ ┌────────────────────┐ │ │ │ K8s Discovery│ │OpenAPI Parser│ │ MCP Tools Layer │ │ │ │ Service │──│ Service │──│ │ │ │ └──────────────┘ └──────────────┘ │ - list_services │ │ │ │ │ │ - get_operations │ │ │ ▼ ▼ │ - invoke_endpoint │ │ │ ┌──────────────────────────────┐ │ - get_op_details │ │ │ │ Derby (Embedded) │ └────────────────────┘ │ │ │ - discovered_services │ │ │ │ - openapi_specifications │ │ │ └──────────────────────────────┘ │ │ ▲ │ │ ┌──────────────┐ │ │ │ Scheduler │ ← Refresh every 10 minutes │ │ └──────────────┘ │ └───────────────────────────────────────────────────────────────-┘

Frequently Asked Questions

Is Openapi K8s Mcp Server safe to use?

Openapi K8s Mcp Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Openapi K8s Mcp Server?

Openapi K8s Mcp Server can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with Openapi K8s Mcp Server?

Openapi K8s Mcp Server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is Openapi K8s Mcp Server actively maintained?

Openapi K8s Mcp Server is less actively maintained — last commit was 97 days ago.

OpenAPI MCP Server for Kubernetes

Features

Automatic Discovery: Discovers services in Kubernetes namespaces

OpenAPI Parsing: Fetches and parses OpenAPI/Swagger specifications

MCP Integration: Exposes tools via Model Context Protocol

Embedded Database: Uses Apache Derby (no external DB required)

Scheduled Refresh: Configurable auto-refresh (default: every 10 minutes)

Status

Feature	Status
Service discovery via K8s API	✅ Done
OpenAPI 3.x spec fetching & parsing	✅ Done
Persistence in embedded Derby	✅ Done
Basic MCP tools (list, get, invoke)	✅ Done
Rate limiting & exponential backoff	✅ Done
Configurable URL templates	✅ Done
OpenAPI 2.0 / Swagger support	🚧 Planned
Authentication to target services	🚧 Planned
MCP authentication / role-based access	🚧 Planned
Minimal status UI	💭 Maybe later

Feature

Status

Service discovery via K8s API

✅ Done

OpenAPI 3.x spec fetching & parsing

✅ Done

Persistence in embedded Derby

✅ Done

Basic MCP tools (list, get, invoke)

✅ Done

Rate limiting & exponential backoff

✅ Done

Configurable URL templates

✅ Done

OpenAPI 2.0 / Swagger support

🚧 Planned

Authentication to target services

🚧 Planned

MCP authentication / role-based access

🚧 Planned

Minimal status UI

💭 Maybe later

Architecture

Openapi K8s Mcp Server

Install in your client