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OpenPipe MCP connector

The OpenPipe connector brings your logged calls, datasets, fine-tuned models and evaluation judges to Claude, ChatGPT, Cursor and any MCP client, so your team can work with OpenPipe from the tools they already use.

  • How it connects. Connects with an API key. The credential goes into a vault nobody reads back.

  • One address. https://api.elaichi.ai/mcp, the same for every user.

  • Their own access. An agent never gets more than the person it acts for.

How to connect

How to connect OpenPipe to Claude, ChatGPT or Cursor

Two steps, about a minute.

1

In Elaichi

Connect OpenPipe once

  1. Open Connections, choose Add connection, and pick OpenPipe.

  2. Optionally set Share with to give a team access, then press Connect.

  3. Paste an OpenPipe API key. One person generates a token in OpenPipe and pastes it once. Everyone else works through Share with, and never sees it.

The credential is vaulted. Nobody reads it back, not even the AI.

Add connection

Choose a connector.

openpipe
OpenPipe
AirOps
Algolia
Botpress
Braintrust
Chatbase
2

In your AI client

Point it at one endpoint

Everyone in the organization uses the same address, and each person only ever reaches what their own account allows.

OpenPipe MCP connector for Claude

  1. 1

    Open Customize, then Connectors.

  2. 2

    Press Add.

  3. 3

    Name it, paste the MCP server URL, then Continue.

    https://api.elaichi.ai/mcp
  4. 4

    Sign in and approve.

On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.

OpenPipe MCP connector for ChatGPT

  1. 1

    Open Plugins, then press the + button.

  2. 2

    Name it and paste the endpoint into Server URL.

    https://api.elaichi.ai/mcp
  3. 3

    Leave Authentication on OAuth, then tick the risk acknowledgement.

  4. 4

    Press Create, then sign in and approve.

Works on the web today. The plugin directory lives at chatgpt.com/plugins.

OpenPipe MCP connector for Cursor

  1. 1

    Open ~/.cursor/mcp.json.

  2. 2

    Add the endpoint under mcpServers.

    https://api.elaichi.ai/mcp
  3. 3

    Reload Cursor, then sign in and approve.

~/.cursor/mcp.json

{
  "mcpServers": {
    "elaichi": {
      "url": "https://api.elaichi.ai/mcp"
    }
  }
}

Set up per machine, so repeat it on each computer you work from.

Connect OpenPipe to any MCP client

  1. 1

    Add the endpoint as a remote MCP server.

    https://api.elaichi.ai/mcp
  2. 2

    Sign in and approve.

{
  "mcpServers": {
    "elaichi": {
      "url": "https://api.elaichi.ai/mcp"
    }
  }
}

The Elaichi Agent already has these tools, with nothing to set up.

Use cases

What teams do with OpenPipe through Elaichi

Every one of these runs inside the access the person already has, and lands in the same audit log.

  • AI engineering

    Turn logged calls into a training dataset

    Pull the latest logged calls from OpenPipe, tag the good ones, and add them as entries to a dataset without leaving the chat you are already working in.

  • AI engineering

    Kick off a fine-tune from a conversation

    Pick a dataset, choose a base model, and start a fine-tuning job in OpenPipe, then check on it later by asking how the run is going.

  • Data science

    Keep datasets tidy before a training run

    List every dataset in OpenPipe, spot the stale or duplicate ones, and remove them so the next fine-tune starts from a clean set.

  • Quality

    Score model output against your own criteria

    Run a criteria judge in OpenPipe on a batch of responses and get a plain summary of where the model passed and where it fell short.

  • Product

    Label production calls by feature and customer

    Update tags and metadata on logged calls in OpenPipe after a launch, so the team can filter later by the feature or account that produced them.

  • Platform

    Compare the models you have deployed

    List the models in OpenPipe, look up any single one by ID, and retire the ones nobody is calling anymore.

Try asking

  • “List our OpenPipe datasets and their entry counts.”
  • “Which OpenPipe models were called most this week.”
  • “Show the latest logged calls and their tags.”

See all 23 OpenPipe tools below

Compare

Elaichi vs Zapier MCP vs Composio for OpenPipe

All three can connect OpenPipe to an AI assistant, and all three have admin controls. They differ in where access lives and how you pay.

Elaichi compared with Zapier MCP and Composio for OpenPipe, by what to check
What to check Elaichi Zapier MCP Composio
Where the AI connects One address for the whole organization. https://api.elaichi.ai/mcp A server per member, created at sign-in. An MCP endpoint per team, or an SDK.
Control over OpenPipe tools Allow or restrict single OpenPipe tools, per role or user. App and action restrictions on the account. Role permissions, down to the action.
Record of calls One audit entry per OpenPipe call. A History tab of tool calls. A log of every tool call.
Single sign-on SAML or OIDC, plus SCIM, on Gold. SAML on Enterprise. SAML and OIDC on Enterprise.
Price $15 per user per month. 2 tasks per successful call. Billed per tool call.

Sources: Zapier MCP docs, security, usage; Composio docs, gateway, enterprise, pricing. Checked September 2026.

Longer take: Zapier MCP alternative and when you don't need an MCP gateway.

AI tools

OpenPipe tools for your AI agents

23 tools are ready to call through Elaichi's MCP endpoint the moment you connect OpenPipe, governed by the same roles, restrictions, and audit log as everything else in Elaichi.

See it in Elaichi

What connecting OpenPipe gets you

6 screens from the product, each doing one job for your OpenPipe account.

The agent

Ask about datasets, get answers back.

Plain language questions run against live OpenPipe datasets, models and logged calls.

  • datasets
  • dataset entries
  • models
  • logged calls

Ask Elaichi to work across your apps.

List our OpenPipe datasets and their entry counts.

Which OpenPipe models were called most this week.

Show the latest logged calls and their tags.

Also runs in Claude, ChatGPT or Cursor

MCP clients

Claude, ChatGPT and Cursor share one endpoint.

Reach OpenPipe from any MCP client over OAuth, no SDK, no shared key.

ElaichiMCP clients
Claude ChatGPT Cursor

Copy the endpoint

https://api.elaichi.ai/mcp
Client Connected by Status Last used
Claude
E

Emily Carter

• Connected 4 minutes ago
Cursor
M

Megan Brooks

• Connected 2 hours ago
ChatGPT
R

Ryan Hayes

• Connected Yesterday

Tool catalog

23 OpenPipe tools ready to call.

Datasets, dataset entries, models, chat completions and logs, with no custom code.

  • Create a OpenPipe check cach
  • Create a OpenPipe chat completion
  • Create a OpenPipe report
  • Create a OpenPipe report anthropic
ElaichiTools
Tool Action Description
Create a OpenPipe check cach Create Check a cached prompt request in OpenPipe. Returns: respPayload. Deprecated: OpenPipe no longer supports prompt caching. Required: requestedAt.
Create a OpenPipe chat completion Create Create a chat completion in OpenPipe. Returns the generated completion object including id, object, created, model, choices, and usage. Required: messages, model.
Create a OpenPipe report Create Record a request log from an OpenAI model in OpenPipe. Returns: status.
Create a OpenPipe report anthropic Create Record a request log from an Anthropic model call in OpenPipe. Returns: status. Optional fields include statusCode, errorMessage, metadata, and tags.
Create a OpenPipe logs update tag Create Update tags on OpenPipe log entries matching the given filters. Returns: matchedLogs. Deprecated: use /logs/update-metadata instead. Required: filters, tags.

Toolboxes

Every team gets its own toolbox.

Curate one OpenPipe toolbox per team so each sees only relevant tools.

  • Machine learning
  • Data platform
  • Product engineering
  • Quality
ElaichiToolboxes
Name Source template Tools Created

Machine learning toolbox

OpenPipe · datasets and fine tuned models

OpenPipe starter 18 Mar 4, 2026

Data platform toolbox

OpenPipe · dataset entries and logged calls

— 9 Mar 2, 2026

Product engineering toolbox

OpenPipe · chat completions in production

— 24 Feb 27, 2026

Quality toolbox

OpenPipe · criteria judges and reports

OpenPipe starter 6 Feb 19, 2026

Analytics toolbox

OpenPipe · logs, tags and metadata

— 31 Jan 30, 2026

Research toolbox

OpenPipe · model experiments and evaluations

— 12 Jan 22, 2026

Shared connections

Teammates use OpenPipe without seeing keys.

One connected OpenPipe account, shared to named teams and members, credential never exposed.

  • Machine learning
  • Data platform
  • Product engineering
  • Quality
ElaichiConnections
Connection Scope Status Access
OP

OpenPipe (Machine learning)

Connected by Emily Carter

Personal • Active 1 team · 6 members
OP

OpenPipe (Data platform)

Connected by Jake Morgan

Organization • Active 3 teams · 24 members
OP

OpenPipe (Product engineering)

Connected by Megan Brooks

Organization • Active 2 teams · 11 members
OP

OpenPipe (Quality)

Connected by Tyler Reed

Personal • Needs re-auth 1 team · 3 members
OP

OpenPipe (Analytics)

Connected by Ryan Hayes

Personal • Active Not shared
OP

OpenPipe (Research)

Connected by Ashley Parker

Personal • Active 2 teams · 9 members

Audit log

Answer who touched which dataset.

Every OpenPipe call is logged with time, person, action, type and resource.

  • When
  • Who
  • What happened
  • Type
ElaichiAudit log
When Who What happened Type

2 minutes ago

Mar 6, 2026, 3:10 PM

E

Emily Carter

emily.carter@northwind.io

Restriction Created Access

8 minutes ago

Mar 6, 2026, 3:04 PM

J

Jake Morgan

jake.morgan@northwind.io

Restriction Updated Access

14 minutes ago

Mar 6, 2026, 2:58 PM

M

Megan Brooks

megan.brooks@northwind.io

Role Assigned Access

20 minutes ago

Mar 6, 2026, 2:52 PM

T

Tyler Reed

tyler.reed@northwind.io

OpenPipe Users Updated MCP

26 minutes ago

Mar 6, 2026, 2:46 PM

R

Ryan Hayes

ryan.hayes@northwind.io

OpenPipe Datasets Created MCP

32 minutes ago

Mar 6, 2026, 2:40 PM

A

Ashley Parker

ashley.parker@northwind.io

OpenPipe Datasets List Toolbox

Launching soon

From answering questions to doing the work

A person no longer has to ask. A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations and live dashboards are launching soon, on the Black plan.

Automations

A schedule fires, a digest ships.

Six steps fetch OpenPipe logged calls, group them, draft, get approval, then post back.

OpenPipe digest

Run 418 · started 2 minutes ago · on behalf of Emily Carter

  1. ✓

    Schedule

    Every weekday at 8:00 AM

    0.2s
  2. ✓

    Fetch datasets

    OpenPipe

    1.4s
  3. ✓

    Group by owner

    Transform

    0.1s
  4. ✓

    Draft the digest

    Agent step

    Ran with 4 tools, returned a structured summary

    6.2s
  5. Approve the digest

    Needs approval

    Assigned to Michael Brennan

    Approve
  6. Post the digest

    OpenPipe

    Queued

Collections and dashboards

OpenPipe numbers land before anyone asks.

Four metrics, 14 days of dataset entries and a team breakdown, computed on schedule.

OpenPipe health

Refreshed 4 minutes ago · every 15 minutes · from the datasets collection

Live

Datasets

1,284 ↓ 12%

Dataset entries

96 ↓ 8%

Needs attention

3 ↑ 2

Updated this week

412 ↑ 9%

Datasets created

Last 14 days

By team

Share of activity

Machine learning 34%

Data platform 27%

Product engineering 21%

Quality 18%

FAQ

Frequently asked questions

How do I connect OpenPipe to Claude?

Connect OpenPipe in Elaichi first, which means pasting the API key you copy from your OpenPipe project settings. There is no OAuth application to register and no client ID or secret to generate. Then open Claude, go to Customize, then Connectors, then Add, and paste the endpoint https://api.elaichi.ai/mcp. Sign in as yourself and OpenPipe is available in your next conversation.

Does OpenPipe work with ChatGPT and Cursor as well as Claude?

Yes. Once OpenPipe is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, any other MCP client and the Elaichi Agent. You connect OpenPipe once and every client picks it up.

What can an AI agent actually do with my OpenPipe data?

An agent can fetch your latest logged calls from OpenPipe, tag them, update their metadata and add the useful ones to a dataset. It can create and remove datasets, start a fine-tuning job, check how a fine-tune is going, list and look up your models, run a criteria judge on responses and send chat completions through OpenPipe. In short, the everyday work of building a dataset and training a model, done by asking.

Does connecting OpenPipe give the AI access to every project?

No. Access follows the OpenPipe API key the person connected, so the agent can only reach the project and records that key already covers. Elaichi can narrow that further by turning off individual actions, but it can never widen access beyond what OpenPipe itself grants.

Can my team share one OpenPipe connection?

Yes. One person connects OpenPipe with the API key and shares the connection with a team in Elaichi, and nobody else ever sees or handles the key. Each teammate still signs in as themselves, so every dataset entry, fine-tune or model change in the audit log is attributed to the person who did it.

Can I stop an agent from deleting datasets or models in OpenPipe?

Yes. Restrictions in Elaichi work per action, so you can allow an agent to read logged calls and add dataset entries while blocking it from deleting datasets, models or fine-tuning jobs in OpenPipe. A blocked action is never advertised to Claude, ChatGPT or any other client, so no prompt can reach it.

What happens to an OpenPipe connection when someone leaves?

Offboarding that person in Elaichi ends their access to OpenPipe through every client at once. If they shared an OpenPipe connection with a team, it keeps working for everyone else on that team. Disconnecting OpenPipe once in Elaichi removes it from Claude, ChatGPT, Cursor and every other client at the same time.

Does the OpenPipe MCP connector work with Gemini, Codex, Claude Code or other MCP clients?

Yes. OpenPipe is reached over the same MCP endpoint every client uses, so anything that speaks MCP can call it — Gemini, Codex, Claude Code, Windsurf, Cline, Zed and OpenCode among them — alongside Claude, ChatGPT, Cursor, and the Elaichi Agent. The tools on offer and the access behind them are identical whichever client asks. Only the setup screen differs.

Is Elaichi an alternative to Zapier MCP for OpenPipe?

Yes. Both let Claude, ChatGPT or Cursor use OpenPipe. Zapier MCP fits a team that already automates in Zapier, since each person signs in and acts as themselves in that account. Elaichi fits when IT wants one address for the whole company, per-tool rules by role, and a record of every OpenPipe call.

How is Elaichi different from Composio for OpenPipe?

Composio gives AI agents tools and sign-in handling across 1,000+ apps, for developers building agents or people using an assistant, billed per tool call. Elaichi gives a company's own people governed access to OpenPipe: one address, restrictions per role or user, and $15 per user per month. Both have role permissions and a log of every call.

Put OpenPipe in front of your team

14 days on Gold, no credit card. Connect it once and pick what each team can call.

Works with
Claude ChatGPT Cursor and any other MCP client, or the Elaichi Agent.
When the trial ends
Nothing is deleted. Connections, roles and the audit log stay where they are, so subscribing picks up exactly where you left off.