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MCP verified Apache-2.0 Self-run

Splunk Mcp

mcp-livehybrid-splunk-mcp · by livehybrid

[ARCHIVED] Community Splunk MCP server — use the official Splunk MCP Server on Splunkbase (app 7931)

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Install

$ agentstack add mcp-livehybrid-splunk-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Archived

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

> # ⚠️ This project is archived — use the official Splunk MCP Server > > Thank you to everyone who used, starred, and forked this project! 🙏 > It started as a community effort to bring Model Context Protocol (MCP) > support to Splunk, well before an official option existed. > > Splunk now ships a first-party, fully supported MCP server that has grown > beyond what this community project provides. Please migrate to the official server: > > - 📦 Splunk MCP Server on Splunkbase (App 7931, by Splunk LLC): https://splunkbase.splunk.com/app/7931 > - 📖 Docs — MCP Server for Splunk Platform: https://help.splunk.com/en/splunk-cloud-platform/mcp-server-for-splunk-platform/ > > This repository is now read-only / archived and will no longer receive > updates. The code below is preserved for historical reference. Thanks again! 🚀


Splunk MCP (Model Context Protocol) Tool

A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language. This tool provides a set of capabilities for searching Splunk data, managing KV stores, and accessing Splunk resources through an intuitive interface.

Operating Modes

The tool operates in three modes:

  1. SSE Mode (Default)
  • Server-Sent Events based communication
  • Real-time bidirectional interaction
  • Suitable for web-based MCP clients
  • Default mode when no arguments provided
  • Access via /sse endpoint
  1. API Mode
  • RESTful API endpoints
  • Access via /api/v1 endpoint prefix
  • Start with python splunk_mcp.py api
  1. STDIO Mode
  • Standard input/output based communication
  • Compatible with Claude Desktop and other MCP clients
  • Ideal for direct integration with AI assistants
  • Start with python splunk_mcp.py stdio

Features

  • Splunk Search: Execute Splunk searches with natural language queries
  • Index Management: List and inspect Splunk indexes
  • User Management: View and manage Splunk users
  • KV Store Operations: Create, list, and manage KV store collections
  • Async Support: Built with async/await patterns for better performance
  • Detailed Logging: Comprehensive logging with emoji indicators for better visibility
  • SSL Configuration: Flexible SSL verification options for different security requirements
  • Enhanced Debugging: Detailed connection and error logging for troubleshooting
  • Comprehensive Testing: Unit tests covering all major functionality
  • Error Handling: Robust error handling with appropriate status codes
  • SSE Compliance: Fully compliant with MCP SSE specification

Available MCP Tools

The following tools are available via the MCP interface:

Tools Management

  • list_tools
  • Lists all available MCP tools with their descriptions and parameters

Health Check

  • health_check
  • Returns a list of available Splunk apps to verify connectivity
  • ping
  • Simple ping endpoint to verify MCP server is alive

User Management

  • current_user
  • Returns information about the currently authenticated user
  • list_users
  • Returns a list of all users and their roles

Index Management

  • list_indexes
  • Returns a list of all accessible Splunk indexes
  • getindexinfo
  • Returns detailed information about a specific index
  • Parameters: index_name (string)
  • indexesandsourcetypes
  • Returns a comprehensive list of indexes and their sourcetypes

Search

  • search_splunk
  • Executes a Splunk search query
  • Parameters:
  • search_query (string): Splunk search string
  • earliest_time (string, optional): Start time for search window
  • latest_time (string, optional): End time for search window
  • max_results (integer, optional): Maximum number of results to return
  • listsavedsearches
  • Returns a list of saved searches in the Splunk instance

KV Store

  • listkvstorecollections
  • Lists all KV store collections
  • createkvstorecollection
  • Creates a new KV store collection
  • Parameters: collection_name (string)
  • deletekvstorecollection
  • Deletes an existing KV store collection
  • Parameters: collection_name (string)

SSE Endpoints

When running in SSE mode, the following endpoints are available:

  • /sse: Returns SSE connection information in text/event-stream format
  • Provides metadata about the SSE connection
  • Includes URL for the messages endpoint
  • Provides protocol and capability information
  • /sse/messages: The main SSE stream endpoint
  • Streams system events like heartbeats
  • Maintains persistent connection
  • Sends properly formatted SSE events
  • /sse/health: Health check endpoint for SSE mode
  • Returns status and version information in SSE format

Error Handling

The MCP implementation includes consistent error handling:

  • Invalid search commands or malformed requests
  • Insufficient permissions
  • Resource not found
  • Invalid input validation
  • Unexpected server errors
  • Connection issues with Splunk server

All error responses include a detailed message explaining the error.

Installation

Using UV (Recommended)

UV is a fast Python package installer and resolver, written in Rust. It's significantly faster than pip and provides better dependency resolution.

Prerequisites
Quick Start with UV
  1. Clone the repository:

``bash git clone cd splunk-mcp ``

  1. Install dependencies with UV:

```bash # Install main dependencies uv sync

# Or install with development dependencies uv sync --extra dev ```

  1. Run the application:

```bash # SSE mode (default) uv run python splunk_mcp.py

# STDIO mode uv run python splunk_mcp.py stdio

# API mode uv run python splunk_mcp.py api ```

UV Commands Reference
# Install dependencies
uv sync

# Install with development dependencies
uv sync --extra dev

# Run the application
uv run python splunk_mcp.py

# Run tests
uv run pytest

# Run with specific Python version
uv run --python 3.11 python splunk_mcp.py

# Add a new dependency
uv add fastapi

# Add a development dependency
uv add --dev pytest

# Update dependencies
uv sync --upgrade

# Generate requirements.txt
uv pip compile pyproject.toml -o requirements.txt

Using Poetry (Alternative)

If you prefer Poetry, you can still use it:

# Install dependencies
poetry install

# Run the application
poetry run python splunk_mcp.py

Using pip (Alternative)

# Install dependencies
pip install -r requirements.txt

# Run the application
python splunk_mcp.py

Operating Modes

The tool operates in three modes:

  1. SSE Mode (Default)
  • Server-Sent Events based communication
  • Real-time bidirectional interaction
  • Suitable for web-based MCP clients
  • Default mode when no arguments provided
  • Access via /sse endpoint
  1. API Mode
  • RESTful API endpoints
  • Access via /api/v1 endpoint prefix
  • Start with python splunk_mcp.py api
  1. STDIO Mode
  • Standard input/output based communication
  • Compatible with Claude Desktop and other MCP clients
  • Ideal for direct integration with AI assistants
  • Start with python splunk_mcp.py stdio

Usage

Local Usage

The tool can run in three modes:

  1. SSE mode (default for MCP clients):
# Start in SSE mode (default)
poetry run python splunk_mcp.py
# or explicitly:
poetry run python splunk_mcp.py sse

# Use uvicorn directly:
SERVER_MODE=api poetry run uvicorn splunk_mcp:app --host 0.0.0.0 --port 8000 --reload
  1. STDIO mode:
poetry run python splunk_mcp.py stdio

Docker Usage

The project supports both the new docker compose (V2) and legacy docker-compose (V1) commands. The examples below use V2 syntax, but both are supported.

  1. SSE Mode (Default):
docker compose up -d mcp
  1. API Mode:
docker compose run --rm mcp python splunk_mcp.py api
  1. STDIO Mode:
docker compose run -i --rm mcp python splunk_mcp.py stdio

Testing with Docker

The project includes a dedicated test environment in Docker:

  1. Run all tests:
./run_tests.sh --docker
  1. Run specific test components:
# Run only the MCP server
docker compose up -d mcp

# Run only the test container
docker compose up test

# Run both with test results
docker compose up --abort-on-container-exit

Test results will be available in the ./test-results directory.

Docker Development Tips

  1. Building Images:
# Build both images
docker compose build

# Build specific service
docker compose build mcp
docker compose build test
  1. Viewing Logs:
# View all logs
docker compose logs

# Follow specific service logs
docker compose logs -f mcp
  1. Debugging:
# Run with debug mode
DEBUG=true docker compose up mcp

# Access container shell
docker compose exec mcp /bin/bash

Note: If you're using Docker Compose V1, replace docker compose with docker-compose in the above commands.

Security Notes

  1. Environment Variables:
  • Never commit .env files
  • Use .env.example as a template
  • Consider using Docker secrets for production
  1. SSL Verification:
  • VERIFY_SSL=true recommended for production
  • Can be disabled for development/testing
  • Configure through environment variables
  1. Port Exposure:
  • Only expose necessary ports
  • Use internal Docker network when possible
  • Consider network security in production

Environment Variables

Configure the following environment variables:

  • SPLUNK_HOST: Your Splunk host address
  • SPLUNK_PORT: Splunk management port (default: 8089)
  • SPLUNK_USERNAME: Your Splunk username
  • SPLUNK_PASSWORD: Your Splunk password
  • SPLUNK_TOKEN: (Optional) Splunk authentication token. If set, this will be used instead of username/password.
  • SPLUNK_SCHEME: Connection scheme (default: https)
  • VERIFY_SSL: Enable/disable SSL verification (default: true)
  • FASTMCP_LOG_LEVEL: Logging level (default: INFO)
  • SERVER_MODE: Server mode (sse, api, stdio) when using uvicorn

SSL Configuration

The tool provides flexible SSL verification options:

  1. Default (Secure) Mode:
VERIFY_SSL=true
  • Full SSL certificate verification
  • Hostname verification enabled
  • Recommended for production environments
  1. Relaxed Mode:
VERIFY_SSL=false
  • SSL certificate verification disabled
  • Hostname verification disabled
  • Useful for testing or self-signed certificates

Testing

The project includes comprehensive test coverage using pytest and end-to-end testing with a custom MCP client:

Running Tests

Basic test execution:

poetry run pytest

With coverage reporting:

poetry run pytest --cov=splunk_mcp

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.