Skip to content

Connect Clazar to Claude: Manage Offers, Contracts & Analytics

Nachi Raman Nachi Raman 9 min read AI & Agents
Elaichi from the team behind Truto

Clazar in Claude, in about a minute.

The best way to connect Clazar to Claude is Elaichi: connect Clazar to Elaichi once, then add Elaichi to Claude as a connector. Two steps, about a minute, with a 14‑day free trial and no credit card required.

  • No credit card required
  • 500+ connectors
  • Credentials vaulted, never read back
  1. Start your free trial

    14 days free, no credit card required.

  2. Connect Clazar

    Once, in Elaichi. Claude never gets more access than you have.

  3. Add Elaichi to Claude

    In Claude, open Customize, then Connectors, press Add and paste the URL. Sign in and approve.

    https://api.elaichi.ai/mcp
TrutoFor product teams

Building Clazar into your own product? This guide is for you.

A complete engineering guide to connecting Claude to Clazar via MCP. We cover generating an authenticated MCP server, resolving multi-cloud provisioning quirks, rate limit handling, and executing LLM-driven RevOps workflows.

The developer guide

Learn how to build a managed MCP server to connect Claude to Clazar. Automate cloud marketplace private offers, metering, and contract analytics via LLMs.

If your RevOps or finance team needs to connect Clazar to Claude to automate cloud marketplace private offers, analyze contract analytics, or orchestrate high-volume metering pipelines, you need a Model Context Protocol (MCP) server. This server acts as the translation layer between Claude's tool-calling capabilities and Clazar's REST API. You can either build and maintain this infrastructure yourself, or use a managed integration platform like Truto to dynamically generate a secure, authenticated MCP server URL.

If your team uses ChatGPT instead, check out our guide on connecting Clazar to ChatGPT. If you are building headless, programmatic workflows, explore our broader architectural overview on connecting Clazar to AI Agents.

Giving a Large Language Model (LLM) read and write access to a complex RevOps pipeline like Clazar is a significant engineering challenge. You have to handle API authentication lifecycles, map massive JSON schemas to MCP tool definitions, and deal with multi-cloud provisioning states. Every time Clazar adds a new endpoint for AWS, GCP, or Azure marketplaces, you have to update your server code, redeploy, and test the integration.

This guide breaks down exactly how to use Truto to generate a secure, managed MCP server for Clazar, connect it natively to Claude Desktop, and execute complex marketplace workflows using natural language.

The Engineering Reality of the Clazar API

A custom MCP server is a self-hosted integration layer. While the open MCP standard provides a predictable way for models to discover tools using the JSON-RPC protocol, the reality of implementing it against specialized B2B APIs is painful. Clazar is built to abstract away the massive complexities of selling software through AWS, Google Cloud, and Azure marketplaces. Its API reflects that domain complexity.

If you decide to build a custom Clazar MCP server, here are the specific integration challenges you will face:

Multi-Cloud Identifier Mapping Clazar abstracts multiple cloud marketplaces, but its API endpoints still require cloud-specific context. For example, a buyer record on AWS looks fundamentally different from a buyer record on GCP. When asking an LLM to update_a_clazar_private_offer, the model needs to understand how to format the custom_properties or external_object_associations payload depending on which cloud platform the offer targets. Hand-coding MCP tools that gracefully guide an LLM to provide the correct multi-cloud identifiers requires extensive JSON Schema validation and strict prompt engineering.

High-Throughput Metering and Idempotency Cloud marketplace billing relies on metered usage. You send usage events to Clazar, which forwards them to the respective cloud provider. If an LLM agent creates a metering record twice because of a network timeout, the end customer gets double-billed. Building a custom MCP server means you must rigorously enforce idempotency keys within your tool definitions so that Claude cannot accidentally duplicate billing events during a retry loop.

Rate Limits and Upstream Backpressure Like any B2B SaaS platform, Clazar enforces rate limits. A common misconception in AI agent architecture is that the MCP server should silently queue or retry rate-limited requests. Truto takes a different, explicitly designed approach: Truto does not retry, throttle, or apply backoff on rate limit errors. When the upstream Clazar API returns an HTTP 429, Truto passes that error directly back to the caller. Truto normalizes the upstream rate limit information into standardized headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset) per the IETF specification. The LLM or the calling framework is entirely responsible for detecting these 429s and implementing appropriate retry/backoff logic.

Generating the Clazar MCP Server

Truto eliminates the need to build a custom server by dynamically generating MCP tools based on Clazar's integration resources and API documentation. Each tool's query and body parameters are merged into a flat input namespace, allowing Claude to pass arguments easily.

You can create this server in two ways: via the Truto UI or programmatically via the API.

Method 1: Via the Truto UI

For teams who want to get Claude connected in minutes without writing code, the Truto dashboard provides a direct path:

  1. Log in to your Truto dashboard and navigate to the Integrated Accounts page.
  2. Select your connected Clazar account.
  3. Click on the MCP Servers tab.
  4. Click Create MCP Server.
  5. Select your desired configuration. You can filter the server to only allow specific operations (e.g., selecting only read methods to prevent Claude from modifying active contracts).
  6. Click Create and copy the generated MCP server URL (e.g., https://api.truto.one/mcp/a1b2c3d4e5f6...).

Method 2: Via the Truto REST API

For platform teams embedding AI capabilities into internal tools, you can dynamically provision MCP servers on the fly using Truto's REST API.

Make a POST request to /integrated-account/:id/mcp:

curl -X POST https://api.truto.one/integrated-account/<your_clazar_account_id>/mcp \
  -H "Authorization: Bearer <your_truto_api_token>" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Clazar Deal Desk Assistant",
    "config": {
      "methods": ["read", "write"],
      "require_api_token_auth": false
    }
  }'

The Truto API will validate that the integration is AI-ready, generate a cryptographically hashed token, store it in a distributed edge key-value store for rapid validation, and return a secure URL:

{
  "id": "mcp_srv_987654",
  "name": "Clazar Deal Desk Assistant",
  "config": { "methods": ["read", "write"] },
  "expires_at": null,
  "url": "https://api.truto.one/mcp/a1b2c3d4e5f67890"
}

Connecting Clazar to Claude

Once you have your Truto MCP URL, connecting it to Claude takes seconds. You do not need to host any middleware. You can connect it via the Claude UI or via a local configuration file for Claude Desktop.

Method A: Via the Claude UI

If you are using Claude's web or enterprise interface (or configuring a custom connector in ChatGPT):

  1. In Claude, navigate to Settings -> Integrations -> Add MCP Server.
  2. Provide a descriptive name (e.g., "Clazar Marketplace Ops").
  3. Paste the Truto MCP URL generated in the previous step.
  4. Click Add.

Claude will immediately execute an MCP handshake (initialize), requesting the available tools. Truto will dynamically derive the tools from Clazar's documentation and return them to the model.

Method B: Via the Claude Desktop Config File

If you are running Claude Desktop locally or configuring an agentic environment (like Cursor), you can inject the server using the claude_desktop_config.json file.

Open your configuration file (usually located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS) and add the Server-Sent Events (SSE) command:

{
  "mcpServers": {
    "clazar-ops": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "https://api.truto.one/mcp/a1b2c3d4e5f67890"
      ]
    }
  }
}

Restart Claude Desktop. The application will boot up the SSE transport, connect to the Truto edge router, and expose the Clazar tools natively in your prompt interface.

Hero Tools for Clazar

When Claude connects to the Clazar MCP server, it gains access to a normalized set of tools. Truto derives these tools dynamically - if a Clazar endpoint has no documentation schema, it does not become a tool. This acts as a strict quality gate to prevent AI hallucinations.

Here are the highest-leverage tools available for Clazar automation.

list_all_clazar_private_offers

Retrieves a filtered list of Private Offers across AWS, GCP, and Azure marketplaces. This tool handles pagination automatically and returns crucial state data (published, accepted, expired).

Usage note: Crucial for Deal Desk teams wanting to summarize pending revenue that is currently locked in cloud marketplace portals.

"Claude, list all the active Clazar private offers on AWS that were created this week. Summarize the total pending value."

update_a_clazar_private_offer_by_id

Updates a specific Private Offer, allowing you to append custom_properties or link it to external systems via external_object_associations (e.g., linking a Clazar offer to a Salesforce Opportunity ID).

Usage note: Use this to command Claude to reconcile unlinked marketplace offers with your internal CRM records.

"Take private offer UUID 1234-5678 and update its external_object_associations to map to Salesforce Opportunity ID 0061U00000abcde."

create_a_clazar_metering

Bulk-creates metering records to report usage to the underlying cloud marketplace. Requires an array of metering objects linked to specific contract_ids and dimensions.

Usage note: Because metering dictates billing, ensure your prompt provides exact dimensions. Be aware of upstream rate limits when batching large arrays - Claude must handle any returned 429 errors appropriately.

"I need to log 500 units of usage against the 'bandwidth_gb' dimension for contract ID 9999. Create the metering record in Clazar."

list_all_clazar_buyers

Returns buyer records for your cloud marketplace agreements, including their multi-cloud identifiers and status.

Usage note: Essential for verifying that a customer exists in the cloud marketplace before attempting to publish a private offer to them.

"Search our Clazar buyers for the domain 'acmecorp.com'. Do we have an active buyer record for them on GCP?"

get_single_clazar_opportunity_by_id

Fetches deep context on a single Clazar opportunity, including stage, status, target close date, and metadata.

Usage note: Use this tool to drill down when list_all_clazar_opportunities returns an anomaly that needs investigation.

"Pull the full details for Clazar opportunity ID 7777. Has the accept_by date passed?"

list_all_clazar_analytics_datasets

Lists paginated rows from specific Clazar analytics datasets (e.g., aws_cosell_opportunities, gcp_marketplace_monthly_insights).

Usage note: This tool unlocks massive reporting capabilities. You can have Claude pull co-sell data and instantly format it into an executive brief.

"Query the aws_cosell_opportunities dataset in Clazar for the last 30 days and generate a summary of our top 5 fastest-moving deals."

To view the complete list of available Clazar tools, schemas, and required parameters, visit the Clazar integration page.

Workflows in Action

MCP tools become powerful when Claude chains them together to solve multi-step operational problems. Here are two real-world scenarios.

Scenario 1: Deal Desk Context Enrichment

When a sales rep requests approval for a massive AWS marketplace deal, the Deal Desk team needs to know if the buyer exists, what the opportunity stage is, and if the private offer has been properly associated with Salesforce. Claude can automate this entire investigation.

"Claude, check if we have any pending private offers for 'TechGlobal' on AWS. If you find one, pull the related opportunity details and ensure the offer is linked to Salesforce ID 0068000001xyz."

Here is how Claude executes this request via the MCP router:

sequenceDiagram
    participant User
    participant Claude as Claude Desktop
    participant MCP as Truto MCP Server
    participant Clazar as Clazar API

    User->>Claude: "Check pending AWS offers for TechGlobal..."
    Claude->>MCP: Call list_all_clazar_private_offers<br>{"cloud": "aws", "status": "pending"}
    MCP->>Clazar: GET /private-offers
    Clazar-->>MCP: [Offer ID: 101, buyer_id: 202]
    MCP-->>Claude: JSON response
    Claude->>MCP: Call get_single_clazar_opportunity_by_id<br>{"id": "101"}
    MCP->>Clazar: GET /opportunities/101
    Clazar-->>MCP: {stage: "Negotiation"}
    MCP-->>Claude: JSON response
    Claude->>MCP: Call update_a_clazar_private_offer_by_id<br>{"id": "101", "external_object_associations": {...}}
    MCP->>Clazar: PATCH /private-offers/101
    Clazar-->>MCP: HTTP 200 OK
    MCP-->>Claude: Success
    Claude-->>User: "I found the offer. It's in Negotiation. I have linked it to the Salesforce ID."

Scenario 2: Automated End-of-Month Metering

At the end of the month, RevOps needs to push usage data to Clazar so that AWS and GCP can bill end customers. This data must be logged against active contracts only.

"Claude, find all active GCP contracts in Clazar. For contract ID 5555, log a metering event for 250 units of 'api_calls'. If you hit a rate limit, back off and try again."

flowchart TD
    A["Prompt: Find active GCP contracts<br>and log metering"] --> B["Call list_all_clazar_contracts<br>(cloud: gcp, status: active)"]
    B --> C{"Did API return<br>HTTP 429?"}
    C -->|"Yes"| D["Claude reads ratelimit-reset<br>header and waits"]
    D --> B
    C -->|"No"| E["Parse active contracts<br>Find ID 5555"]
    E --> F["Call create_a_clazar_metering<br>Payload: 250 units"]
    F --> G["Clazar API returns<br>Metering ID"]
    G --> H["Claude confirms<br>billing event logged"]

Note how Claude must handle the HTTP 429 response itself. Truto's proxy layer ensures the standardized IETF rate limit headers are passed directly to the model, providing exactly the context needed to pause execution gracefully.

Security and Access Control

Exposing an enterprise billing and marketplace platform like Clazar to an AI agent requires strict governance. Truto provides several native mechanisms to lock down your MCP servers:

  • Method Filtering: Configure config.methods to ["read"] to allow only get and list operations. This ensures Claude can query Clazar analytics and contracts without the ability to accidentally modify a private offer or log false metering data.
  • Tag Filtering: Use config.tags to restrict the server to specific operational domains (e.g., exposing only tools tagged with analytics while hiding billing operations).
  • Require API Token Auth: By setting require_api_token_auth: true, the MCP server URL alone is no longer enough to access tools. The client must also pass a valid Truto API token in the Authorization header, layering identity verification on top of URL possession.
  • Ephemeral Servers: Set an expires_at ISO datetime when creating the server. Truto will automatically destroy the token and its associated edge KV entries at the specified time, ideal for granting temporary access to automated jobs or contractors.

Bringing AI to the Cloud Marketplace

Managing cloud marketplace operations manually across AWS, GCP, and Azure is tedious and error-prone. By connecting Clazar to Claude via a Truto MCP server, your RevOps and Finance teams can interrogate contracts, validate multi-cloud buyers, and provision private offers using natural language.

Building this integration infrastructure yourself requires managing OAuth lifecycles, flattening schema mappings, and normalizing rate limit headers. Truto abstracts this completely, deriving tools dynamically from documentation and operating as a secure, zero-retention proxy layer.

Two ways to put Clazar to work

Elaichifrom the team behind Truto

For you and your team

Use Clazar in Claude yourself

Connect Clazar once, add Elaichi to Claude, and ask. Every call is checked against your own permissions and logged.

Start free, 14 days No credit card required
Truto

For product teams

Ship Clazar to your customers

Your customers connect their own Clazar accounts. Your product gets one API and MCP tools for Clazar, through Truto.

FAQ

What is the easiest way to connect Clazar to Claude?
The best way to connect Clazar to Claude is Elaichi: connect Clazar to Elaichi once, then add Elaichi to Claude as a connector. Two steps, about a minute, with a 14-day free trial and no credit card required.
How does the Clazar MCP server handle API rate limits?
Truto does not absorb, retry, or apply backoff to rate limit errors. When the upstream Clazar API returns an HTTP 429, Truto passes that error directly to Claude, normalizing the rate limit headers into the standardized IETF spec (ratelimit-limit, ratelimit-remaining, ratelimit-reset). Your AI agent is responsible for reading these headers and executing its own retry or backoff logic.
Can I restrict Claude to only read data from Clazar?
Yes. When creating the MCP server in Truto, you can pass a configuration object with a methods array set to ["read"]. This filters the generated tools so that Claude only has access to GET and LIST operations, preventing accidental writes or deletions.
How are MCP tools generated for Clazar?
Truto dynamically generates MCP tools based on Clazar's integration resources and API documentation. Query schemas and request body schemas are merged into a single flat input namespace, allowing Claude to pass arguments as a single JSON object. If an endpoint lacks documentation, it is excluded from the server to prevent AI hallucinations.
Does Truto store the marketplace data Claude retrieves from Clazar?
No. Truto operates as a stateless pass-through proxy. Tool calls execute against the upstream Clazar API in real-time, and the response is immediately returned to the MCP client. Payload data is never cached or stored in Truto's databases.
Clazar Clazar in Claude14 days free Start free

More from our Blog