Prism MCP Server is a local Model Context Protocol (MCP) server that facilitates AI assistants in working with the Prismatic API for code-native integration and custom component development.
From the registry: MCP server that wraps Prismatic's Prism CLI tool
$ npm install --global @prismatic-io/prism && prism loginPlease install the `prism-mcp-prismaticio` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Prism CLI** — Install the Prismatic Prism CLI globally and authenticate Run: `npm install --global @prismatic-io/prism && prism login`
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@prismatic-io/prism-mcp","."]
- optional environment variables:
- `PRISMATIC_URL`: Prismatic tenant URL (default: https://app.prismatic.io) (example: `https://app.prismatic.io`)
- `MCP_PRISM_PATH`: Absolute path to Prism CLI executable override (example: `/usr/local/bin/prism`)
- `TOOLSETS`: Comma-separated toolsets to enable: integration, component (default: all) (example: `integration,component`)
Note: First argument to args is the working directory (use '.' for current workspace). Optional toolsets arg to limit tools loaded.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.PRISMATIC_URLrequiredURL for the Prismatic API, defaults to https://app.prismatic.ioMCP_PRISM_PATHSpecific path to the Prism CLI executable if neededReal-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Validate oh-my-posh configurations and segment snippets against the official schema.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.