Locust
Locust MCP Server provides a bridge between AI assistants and the Locust load testing framework, enabling natural language control of performance testing operations. Developed by NaveenKumar Namachivayam, this implementation uses FastMCP to expose Locust's functionality through a standardized tool that configures and executes load tests with customizable parameters including number of users, spawn rate, and test duration. The server reads configuration from environment variables and manages the Locust subprocess, making it ideal for DevOps engineers and QA professionals who want to integrate performance testing into their AI-assisted workflows without manual command-line interaction.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/qainsights/locust-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Locust from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.