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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

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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.

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Alternatively, you can install them manually using the information below. Install the PromptLayer skill:
Add the PromptLayer Docs MCP server:
Add the PromptLayer MCP server:

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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:

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Available tools

The PromptLayer MCP server exposes 61 tools covering all major PromptLayer features: When publishing templates that reference snippets, publish dependencies first. See Snippet Dependency Ordering for the required publish order and a multi-pass workflow for agents. | Request Logs | get-request, search-request-logs, get-trace, get-request-search-suggestions, get-request-analytics, get-request-analytics-custom-analytics | | Tracking | log-request, create-spans-bulk | | Datasets Deprecated | list-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 | | Evaluations / Reports Deprecated | list-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 | | Agents | list-workflows, get-workflow, get-workflow-labels, create-workflow, patch-workflow, run-workflow, get-workflow-version-execution-results | | Tool Registry | list-tool-registries, get-tool-registry, create-tool-registry, create-tool-version | | Skill Collections | list-skill-collections, create-skill-collection, get-skill-collection, update-skill-collection, save-skill-collection-version | | Folders | create-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:

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Next steps

PromptLayer MCP source

Review the open-source MCP server implementation.