# splunk-mcp-server-with-claude-desktop

> splunk-mcp-server-with-claude-desktop — emilwijayasekara-splunk-mcp-server-with-claude-desktop. Use this tool when you need to integrate Claude Desktop with Splunk Management Endpoint, overcoming legacy protocol restrictions. It provides a custom JSON-RPC Relay to bridge the two systems, enabling seamless communication and data exchange. Ideal for use cases requiring data analysis and management across different platforms, with inputs from Claude Desktop and outputs to Splunk via JSON-RPC.

Canonical page: https://skillsregistry.net/skills/emilwijayasekara-splunk-mcp-server-with-claude-desktop  
JSON: https://api.skillsregistry.net/v1/skills/emilwijayasekara-splunk-mcp-server-with-claude-desktop

## Description

Implementation of the Model Context Protocol (MCP) bridge  connecting Claude Desktop to the Splunk Management Endpoint. The final solution utilizes a  custom-engineered JSON-RPC Relay to bypass legacy protocol restrictions on Splunk Port 8089.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/EmilWijayasekara/splunk-mcp-server-with-claude-desktop)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "emilwijayasekara-splunk-mcp-server-with-claude-desktop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emilwijayasekara-splunk-mcp-server-with-claude-desktop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emilwijayasekara-splunk-mcp-server-with-claude-desktop/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt