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Connect Humanloop LLM Prompt Management API to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control your entire prompt lifecycle from your AI client.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 12 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Humanloop.

  1. 01

    Delete prompt version

    This capability removes a specific version of a prompt from your library.

  2. 02

    Deploy prompt

    Use this to set a specific prompt version as the active deployment for an environment like staging or production.

  3. 03

    List prompt environments

    This capability shows you all available environments and which prompt versions are currently live in each.

  4. 04

    List prompts

    This capability retrieves a full list of all prompts within your Humanloop organization.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Humanloop.

  1. 05

    Remove deployment

    Use this to take a specific prompt version out of an environment.

  2. 06

    Update monitoring

    This capability lets you turn Evaluators on or off to monitor logs for a specific prompt.

  3. 07

    Update prompt version

    This capability allows you to change the name or description of an existing prompt version.

  4. 08

    List prompt versions

    This capability pulls all versions associated with a single prompt ID.

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Humanloop.

  1. 09

    Call prompt stream

    This capability executes a prompt and provides a streaming response.

  2. 10

    Get prompt

    This capability fetches the full configuration and details for a specific prompt using its ID.

  3. 11

    Log to prompt

    Use this to record a model generation log for a specific prompt.

  4. 12

    Upsert prompt

    This capability creates a new prompt configuration or updates an existing one.

Real work

What teams actually run

01

Rapid Prototyping

An engineer tests a new prompt version and immediately deploys it to a staging environment.

02

Quality Auditing

A product manager checks the version history of a prompt to see what changed in the last iteration.

03

Automated Deployment

A DevOps engineer uses the agent to push a verified prompt version to production.

04

Performance Monitoring

A developer activates evaluators to monitor logs and ensure prompt outputs remain consistent.

Automate a task

Put Humanloop to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Humanloop works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Humanloop to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1005ms average. Fast in production.

Humanloop is checked daily against the live service.

Daily averagePeak 1352ms
Oct 3Today
Fastest day
778ms
Slowest day
1352ms
14-day trend
Improving-12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Humanloop, so you can see the experience inside your AI.

It does not authenticate your account with Humanloop. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Humanloop Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_SDhmK5J7LYd6XJCbZRuzCR6WIRna9REWi8m4RQ2M/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Humanloop capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "humanloop-llm-prompt-management-api-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SDhmK5J7LYd6XJCbZRuzCR6WIRna9REWi8m4RQ2M/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Humanloop in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Humanloop owners hand off.

This MCP is built for technical teams managing LLM-powered applications who want to move faster without leaving their development environment.

  • 01

    AI Engineers

    They use the MCP to deploy and test prompt iterations directly from their code editors.

  • 02

    Product Managers

    They use the MCP to audit prompt versions and monitor model outputs for quality.

  • 03

    DevOps Teams

    They use the MCP to automate prompt deployments across different environments.

FAQ

Questions Humanloop owners ask.

  • 01

    How do I connect my Humanloop account?

    You subscribe to the MCP on Vinkius and then enter your Humanloop API Key. Once connected, it is ready to use in any compatible client.

  • 02

    Can I deploy prompts to production?

    Yes. You can use the deploy_prompt capability to set a specific version as the active deployment for production or staging environments.

  • 03

    Which AI clients can I use with this MCP?

    This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    Can I see the history of my prompt changes?

    Yes. You can use the list_prompt_versions capability to see all versions associated with a specific prompt.

  • 05

    Does this MCP support streaming responses?

    Yes. The call_prompt_stream capability allows you to execute a prompt and receive a streaming response.

  • 06

    Can I see the full version history of a specific prompt?

    Yes! Use the list_prompt_versions capability with the Prompt ID. It will return all historical versions, allowing you to track changes and metadata over time.

  • 07

    How do I deploy a prompt version to a specific environment like production?

    You can use the deploy_prompt capability. Provide the Prompt ID and the Environment ID to set that specific version as the active deployment for that environment.

  • 08

    Is it possible to record model outputs for later evaluation?

    Absolutely. Use the log_to_prompt capability to record a generation, including the prompt path, messages, and output, which can then be used for evaluation in Humanloop.

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