A generic MCP server for executing Postman collections — supports v2.1 collections, environments, variable chaining, and scripting
A generic MCP server for executing Postman collections — supports v2.1 collections, environments, variable chaining, and scripting
A full-featured Model Context Protocol (MCP) server for executing Postman collections using Python. Enables AI assistants to run, inspect, and manage API test workflows from any Postman v2.1 collection file — with a strict, safe execution pipeline that never guesses credentials.
mcp[cli] package (FastMCP framework) - No additional dependencies for core features (uses stdlib http.client) - Optional: dukpy for full JavaScript execution engineCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
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 |
|---|---|
| prepare_collection | Validates collection + scans variables + generates config file for user to fill |
| run_collection | Executes a collection after validating all requirements are met |
| inspect_collection | View collection metadata, folders, and request listing |
| dry_run_collection | Preview resolved URLs without making HTTP calls |
| check_status | Check if a collection is ready to execute (config filled?) |
| list_collections | Scan a directory for available collection files |
{
"mcpServers": {
"postman-runner": {
"command": "uvx",
"args": ["postman-runner-mcp"],
"disabled": false,
"autoApprove": []
}
}
}Configuration as documented by the project. Restart the client after saving.
mcp[cli] package (FastMCP framework) - No additional dependencies for core features (uses stdlib http.client) - Optional: dukpy for full JavaScript execution engineRead, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
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