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Documentation Index

Fetch the complete documentation index at: https://docs.promptlayer.com/llms.txt

Use this file to discover all available pages before exploring further.

PromptLayer provides a few ways to bring PromptLayer context and workspace access into AI coding tools and MCP-compatible clients. Use the skill when you want your coding agent to understand PromptLayer concepts and best practices. Use the MCP servers when you want an agent to search documentation or work with PromptLayer resources directly.

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What is available

ToolUse it for
PromptLayer skillGives AI coding tools PromptLayer product context, SDK patterns, prompt management guidance, evaluation workflows, and observability best practices.
PromptLayer Docs MCPLets agents search and read PromptLayer documentation.
PromptLayer MCPLets MCP-compatible clients interact with PromptLayer workspace resources such as prompts, request logs, datasets, evaluations, workflows, tools, and skill collections.

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Install and connect

Using a coding agent?Copy the following prompt to add the PromptLayer skill and MCP servers for better results when working with PromptLayer.

Install the PromptLayer skill and MCP servers.

CursorOpen in Cursor
Alternatively, you can install them manually using the information below. Install the PromptLayer skill: 
npx skills add https://docs.promptlayer.com
Add the PromptLayer Docs MCP server: 
https://docs.promptlayer.com/mcp
Add the PromptLayer MCP server: 
https://mcp.promptlayer.com/mcp

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PromptLayer MCP

Use the PromptLayer MCP server when you want an MCP-compatible client to work with PromptLayer workspace resources such as prompts, request logs, datasets, evaluations, workflows, tools, and skill collections.

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Authorization header

When you connect to the hosted MCP server, pass your PromptLayer API key in the Authorization header: 
Authorization: Bearer pl_your_key_here

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Available tools

The PromptLayer MCP server exposes 60 tools covering all major PromptLayer features:
CategoryTools
Prompt Templatesget-prompt-template, get-prompt-template-raw, list-prompt-templates, publish-prompt-template, patch-prompt-template-version, list-prompt-template-labels, create-prompt-label, move-prompt-label, delete-prompt-label, get-snippet-usage
Request Logsget-request, search-request-logs, get-trace, get-request-search-suggestions, get-request-analytics
Trackinglog-request, create-spans-bulk
Datasetslist-datasets, get-dataset-rows, create-dataset-group, create-dataset-version-from-file, create-dataset-version-from-filter-params, create-draft-dataset-version, add-request-log-to-dataset, save-draft-dataset-version
Evaluationslist-evaluations, get-evaluation-rows, create-report, run-report, get-report, get-report-score, add-report-column, edit-report-column, delete-report-column, update-report-score-card, rename-report, delete-report, delete-reports-by-name
Agentslist-workflows, get-workflow, get-workflow-labels, create-workflow, patch-workflow, run-workflow, get-workflow-version-execution-results
Tool Registrylist-tool-registries, get-tool-registry, create-tool-registry, create-tool-version
Skill Collectionslist-skill-collections, create-skill-collection, get-skill-collection, update-skill-collection, save-skill-collection-version
Folderscreate-folder, edit-folder, get-folder-entities, move-folder-entities, delete-folder-entities, resolve-folder-id

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Local server

Install the server from npm: @promptlayer/mcp-server For clients that support stdio transport, such as Claude Desktop and Cursor, you can run the server locally via npx: 
{
  "mcpServers": {
    "promptlayer": {
      "command": "npx",
      "args": ["-y", "@promptlayer/mcp-server"],
      "env": {
        "PROMPTLAYER_API_KEY": "pl_your_key_here"
      }
    }
  }
}

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Next steps

PromptLayer MCP source

Review the open-source MCP server implementation.