How do I install the jira mcp snowflake mcp server?

This profile does not contain a verified copy-paste launch configuration. Follow the current project documentation to confirm the runtime, entry point, transport and authentication before registering it in your client.

What credentials does it need?

It reads `SNOWFLAKE_CONNECTION_METHOD`, `SNOWFLAKE_AUTHENTICATOR`, `SNOWFLAKE_ACCOUNT`, `SNOWFLAKE_USER`, `SNOWFLAKE_PRIVATE_KEY_FILE`, `SNOWFLAKE_DATABASE`, `SNOWFLAKE_SCHEMA`, `SNOWFLAKE_WAREHOUSE` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Jira MCP Snowflake MCP Server

A Model Context Protocol (MCP) server that provides access to JIRA issue data stored in Snowflake. This server enables AI assistants to query

Local serverstdioPython

What is the Jira MCP Snowflake MCP Server?

A Model Context Protocol (MCP) server that provides access to JIRA issue data stored in Snowflake. This server enables AI assistants to query, filter, and analyze

The short version

This MCP server connects to Snowflake to query JIRA data and provides five main tools for interacting with the data:

What it needs from you

Python 3.10+ - UV (Python package manager) - Podman or Docker - Access to Snowflake with appropriate credentials

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
Timestamps	created, updated, due date, resolution date)
Metadata	votes, watches, environment, components, workflow ID, security, archived status)
Comments	with comment body, creation/update timestamps, and role level)
found_issues	Dictionary of found issues keyed by issue key
not_found	List of issue keys that were not found
total_found	Number of issues found
total_requested	Number of issues requested

How to install the Jira MCP Snowflake MCP Server

{
  "mcpServers": {
    "jira-mcp-snowflake": {
      "command": "podman",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SNOWFLAKE_CONNECTION_METHOD=api",
        "-e",
        "SNOWFLAKE_TOKEN=your_token_here",
        "-e",
        "SNOWFLAKE_BASE_URL=https://your-account.snowflakecomputing.com/api/v2",
        "-e",
        "SNOWFLAKE_DATABASE=your_database_name",
        "-e",
        "SNOWFLAKE_SCHEMA=your_schema_name",
        "-e",
        "MCP_TRANSPORT=stdio",
        "-e",
        "ENABLE_METRICS=true",
        "-e",
        "METRICS_PORT=8000",
        "localhost/jira-mcp-snowflake:latest"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Python 3.10+ - UV (Python package manager) - Podman or Docker - Access to Snowflake with appropriate credentials

Example prompts to try

“Use Jira MCP Snowflake to Required.”
“Use Jira MCP Snowflake to Optional.”
“Use Jira MCP Snowflake to Building.”

Frequently asked questions

A Model Context Protocol (MCP) server that provides access to JIRA issue data stored in Snowflake. This server enables AI assistants to query, filter, and analyze Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.