Openlayer MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Openlayer MCP or direct API to manage projects, monitor production data, evaluate tests, and inspect model performance through natural language.

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Openlayer is an AI quality platform for managing projects, monitoring production data, evaluating tests, and inspecting model performance. Use it to catch regressions, track production quality, and keep AI applications reliable before and after release.

10 Tools

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TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every Openlayer action and event your agent gets out of the box.

Get Data Source

Return one Openlayer monitoring data source, including its backend, monitoring status, record and test counts, and optional project or workspace details.

Get Project Version

Return one Openlayer project commit or version with its processing status, commit metadata, storage URI, and passing, failing, and total test counts.

Get Workspace

Return a workspace's identity, status, connected-account membership, usage counts, and plan limits.

List Data Sources

Return one page of monitoring data sources for an Openlayer project, optionally filtered by name.

List Data Source Test Results

Return one page of the latest monitoring test results for an Openlayer data source, optionally filtered by test category or execution status.

List Projects

Return one page of projects visible to the connected Openlayer workspace, optionally filtered by name or task type.

List Project Versions

Return one page of commits and versions for an Openlayer project, including processing status, commit metadata, and passing, failing, and total test counts.

List Project Version Test Results

Return one page of test results for a project version, optionally filtered by test category, archive state, or result status.

List Test Results

Return one page of results for a test, with optional project-version, data-source, and status filters and optional generated insights.

List Tests

Return one page of tests configured for an Openlayer project, with filters for category, archive state, origin version, production-data use, and suggested status.

SETUP GUIDE

Connect Openlayer MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["openlayer"],
  mcp: true,
});
Create a session scoped to Openlayer and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List my Openlayer projects and summarize the latest model performance metrics",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Openlayer request
SETUP GUIDE

Connect Openlayer API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["openlayer"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Openlayer
3

Run Openlayer tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List my Openlayer projects and summarize the latest model performance metrics" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Openlayer tool calls through the session, and print the final answer

Why Use Composio?

AI Native Openlayer Integration

  • Supports both Openlayer MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Openlayer projects, tests, production data, and model quality signals

Managed Auth

  • Securely store Openlayer API keys without hard-coding them in agent code
  • Central place to manage, scope, and revoke Openlayer access
  • Per user and per environment credentials so agents act with the right access every time

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Clear schemas help agents understand Openlayer concepts like projects, tests, production monitoring, and performance metrics
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Openlayer
  • Scoped, least privilege access to Openlayer resources
  • Full audit trail of agent actions to support review, debugging, and compliance
FAQ

Frequently asked questions

Yes, Openlayer requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Openlayer connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Create the key in your Openlayer account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Openlayer actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Openlayer at any time.

When you connect a Openlayer account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Openlayer as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Openlayer. If Openlayer lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Openlayer at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Openlayer connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Openlayer rejects the old key. Create a new key in Openlayer and reconnect the account from the Composio dashboard or by asking your agent to reconnect Openlayer. Nothing else changes.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Openlayer use. Paid plans add higher limits and team features. Your Openlayer plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Openlayer accounts).

With Composio, you connect Openlayer once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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