Connect Qualified to Claude: Manage Meetings and Session Data

If your team needs to connect Qualified to Claude to automate sales development, map complex session data to CRM leads, or orchestrate high-volume outbound routing, you need a Model Context Protocol (MCP) server. This server acts as the critical translation layer between Claude's natural language tool calls and Qualified's REST APIs. You can either build, host, 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, check out our guide on connecting Qualified to ChatGPT or explore our broader architectural overview on connecting Qualified to AI Agents.

Giving a Large Language Model (LLM) read and write access to a conversational marketing and revenue platform like Qualified is an engineering challenge. You have to handle API token lifecycles, map massive JSON schemas to MCP tool definitions, and deal with Qualified's unique time-delayed pagination constraints. Every time Qualified updates an endpoint, deprecates a legacy reporting resource, or introduces a new CRM synchronization field, 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 Qualified, connect it natively to Claude Desktop, and execute complex pipeline generation workflows using natural language.

The Engineering Reality of the Qualified 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, the reality of implementing it against specialized B2B APIs is painful. Qualified acts as the nervous system for your inbound website traffic, executing complex routing rules and tracking highly granular session data. Its API reflects that operational complexity.

If you decide to build a custom Qualified MCP server in-house, here are the specific integration challenges you will face:

The Asynchronous Availability Hold-Back One of the most unique quirks of the Qualified API is its availability window for list operations. Endpoints like list_all_qualified_sessions, list_all_qualified_conversations, and list_all_qualified_messages do not return real-time data. Sessions only appear in list results 30 minutes after they end. Meetings have a 24-hour hold-back on list endpoints. If an AI agent attempts to query a list endpoint immediately after a webhook fires, it will get a 400 error if it specifies a bound inside that hold-back window. To get real-time data, the agent must use the get_single_*_by_id endpoints. You have to explicitly design your MCP tool schemas to explain this temporal logic to Claude, otherwise, the model will hallucinate empty datasets or repeatedly fail on time-bound list queries.

Polymorphic Identity Resolution Qualified tracks identities across multiple states: unknown visitors, known leads, and synced CRM contacts (Salesforce, HubSpot, Pardot, Marketo). When an AI agent needs to update a record, it must navigate this polymorphic identity graph. A session might have a visitorId, but a lead might have an array of visitorIds alongside a salesforceLeadId. Your MCP server must provide tightly scoped tools that force the LLM to provide the correct identifier for the target operation, preventing it from trying to update a Lead using a raw Visitor ID payload.

Strict Asynchronous Bulk Processing Limits When executing mass operations—like enriching 500 leads with intent data—you cannot simply loop over a standard create tool, as you will instantly hit rate limits. Qualified provides a specific bulk_jobs resource for this. However, this means your MCP server must expose an asynchronous state machine to the LLM: one tool to submit the items array, and another tool to poll the resulting job id until the status returns complete. Building these async polling patterns into stateless MCP tools requires precise JSON schema definitions to prevent Claude from getting stuck in infinite loops.

How to Generate a Managed MCP Server for Qualified

Instead of building a JSON-RPC 2.0 server from scratch, handling the authentication handshakes, and manually typing out JSON Schema definitions for every Qualified endpoint, you can use Truto to generate a managed MCP server dynamically.

Truto derives its tool definitions directly from its unified integration registry. When you connect a Qualified account, Truto inspects the available resources and documentation, automatically generating perfectly formatted MCP tools.

You can generate the MCP server in two ways.

Method 1: Via the Truto UI

For administrators and product managers, the Truto dashboard provides a no-code interface for standing up an MCP server:

1. Navigate to the Integrated Accounts page in your Truto dashboard and select your connected Qualified account.
2. Click the MCP Servers tab.
3. Click Create MCP Server.
4. Select your desired configuration. You can restrict the server to specific HTTP methods (e.g., read only) or specific tags.
5. Click Create and copy the generated MCP server URL (e.g., https://api.truto.one/mcp/abc123xyz...).

Method 2: Via the Truto API

For engineering teams building programmatic agent deployments, you can provision MCP servers via the Truto REST API. This is ideal for generating short-lived, scoped access tokens for ephemeral AI workers.

curl -X POST https://api.truto.one/integrated-account/{integrated_account_id}/mcp \
  -H "Authorization: Bearer YOUR_TRUTO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Claude Qualified Sales Agent",
    "config": {
      "methods": ["read", "write"],
      "tags": ["leads", "meetings", "sessions"]
    },
    "expires_at": "2026-12-31T23:59:59Z"
  }'

The API provisions the server, securely hashes the token in Cloudflare KV, and returns a ready-to-use URL:

{
  "id": "mcp_8a9b0c",
  "name": "Claude Qualified Sales Agent",
  "url": "https://api.truto.one/mcp/mcp_token_xyz987...",
  "config": { "methods": ["read", "write"] }
}

How to Connect the MCP Server to Claude

Once you have your Truto MCP URL, connecting it to Claude requires zero additional coding. The server is completely self-contained; the URL acts as the authentication boundary.

Method A: Via the Claude UI (Desktop or Web)

If you are using Claude Desktop or Claude Web (with enterprise connector support), you can drop the URL straight into the application:

1. Open Claude and navigate to Settings -> Integrations (or Connectors depending on your tier).
2. Click Add MCP Server or Add Custom Connector.
3. Paste the Truto MCP URL you generated in the previous step.
4. Click Add.

Claude will immediately execute an MCP initialize handshake, request the tools/list, and dynamically learn how to interact with Qualified.

Method B: Via the Manual Configuration File

For advanced users, developers, or teams running headless Claude agents, you can configure the MCP connection using the claude_desktop_config.json file. This leverages the official Model Context Protocol SSE (Server-Sent Events) transport layer.

Open your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the Truto server configuration:

{
  "mcpServers": {
    "qualified-sales": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "https://api.truto.one/mcp/mcp_token_xyz987..."
      ]
    }
  }
}

Restart Claude Desktop. The agent will read the JSON, connect via SSE, and ingest the Qualified schemas.

Hero Tools for Qualified

Truto automatically exposes Qualified's REST resources as semantic tools. Because AI models struggle with massive, flat tool arrays, Truto enhances the JSON Schema definitions—injecting explicit instructions (like handling pagination cursors) to ensure the LLM structures its payloads correctly.

Here are 6 high-leverage hero tools your Claude agent can immediately use to manipulate Qualified data.

list_all_qualified_sessions

Retrieves website sessions in Qualified, ordered newest-first. Truto automatically configures the LLM to understand that sessions appear in this list 30 minutes after they end.

"Fetch the latest website sessions that ended after 2026-10-01T14:00:00Z. Filter for any sessions that resulted in a booked meeting (where meetingIds is not null)."

list_all_qualified_leads

Retrieves Qualified leads, including their custom field values and CRM integration IDs (Salesforce, HubSpot, etc.). You can filter by time windows or look up a single person via their email address.

"Find the lead record for 'cto@enterprise.com' and check if they have a mapped salesforceContactId. Return their current custom field values."

get_single_qualified_message_by_id

Fetches a single message from an engaged chat conversation. Unlike list endpoints, reads by ID are not subject to availability hold-backs, allowing Claude to instantly retrieve real-time message context.

"Pull the exact transcript text for message ID 'msg_998877'. Determine if the sender was a human rep or the automated bot."

create_a_qualified_lead

Creates or updates a Qualified lead, matching based on email address. This tool uses a sparse update pattern—only the field values the agent explicitly sends are written, leaving existing data untouched.

"Update the lead record for 'buyer@startup.io'. Set their 'Lead Status' custom field to 'Qualified' and update their 'Last Touch Date' to today."

list_all_qualified_meetings

Lists meetings booked through the Qualified platform, including attendee data, meeting type, and status. Meetings appear in this list 24 hours after creation, making this ideal for daily batch reporting or sync operations.

"Pull all meetings updated in the last 48 hours. Group them by meetingTypeName and summarize the attendee domains."

create_a_qualified_gdpr_deletion_request

Submits a batch array of email addresses for GDPR deletion across the Qualified platform. Every address in the payload must be well-formed, or the entire request is rejected.

"We received a right-to-be-forgotten request. Submit 'user1@test.com' and 'user2@test.com' to the GDPR deletion queue."

For the complete schema definitions and the full inventory of available Qualified operations, consult the Qualified integration page.

Workflows in Action

Once connected, Claude can orchestrate multi-step API operations without requiring hardcoded scripts. Here is how specific personas use this setup in production.

Scenario 1: Sales Development Rep Following Up on a Meeting

SDRs need to prepare for booked meetings by analyzing the prospect's website journey. Instead of manually cross-referencing Salesforce and Qualified, the agent does it instantly.

"Find the latest meeting booked by 'vp.engineering@acme.com'. Retrieve the session data associated with that meeting ID to see which pages they viewed before booking. Summarize their journey and update their lead record with a custom 'Pre-Meeting Context' note."

Execution Steps:

1. list_all_qualified_leads (Filters by email to grab the visitorId and lead metadata).
2. list_all_qualified_meetings (Filters by the retrieved visitorId to find the exact meeting ID).
3. get_single_qualified_session_by_id (Fetches real-time session data using the sessionId attached to the meeting to analyze page views).
4. create_a_qualified_lead (Patches the lead record, injecting the summarized journey into the custom field).

sequenceDiagram
    participant C as Claude Desktop
    participant T as Truto MCP Server
    participant Q as Qualified API
    
    C->>T: Call list_all_qualified_leads(email)
    T->>Q: GET /v1/leads?email=...
    Q-->>T: Return Lead (visitorId: 4455)
    T-->>C: JSON Result
    
    C->>T: Call list_all_qualified_meetings(visitorId: 4455)
    T->>Q: GET /v1/meetings?visitor_id=4455
    Q-->>T: Return Meeting (sessionId: 9988)
    T-->>C: JSON Result
    
    C->>T: Call get_single_qualified_session_by_id(id: 9988)
    T->>Q: GET /v1/sessions/9988
    Q-->>T: Return Page Views
    T-->>C: JSON Result
    
    C->>T: Call create_a_qualified_lead(fields...)
    T->>Q: POST /v1/leads
    Q-->>T: Success
    T-->>C: Task Complete

Scenario 2: RevOps Automating GDPR Compliance

Revenue Operations teams spend hours manually scrubbing data to comply with privacy requests. Claude can automate the discovery and deletion process.

"We received a GDPR erasure request for 'contact@domain.com'. Check if they exist in Qualified as a lead. If they do, verify they have no active sessions in the last hour, then process their email for GDPR deletion."

Execution Steps:

1. list_all_qualified_leads (Queries the email to confirm the lead exists in the database).
2. list_all_qualified_sessions (Queries the associated visitorId with a recent time bound to ensure no active chat is currently in progress).
3. create_a_qualified_gdpr_deletion_request (Submits the strict payload array containing the target email address for complete system wipe).

Security and Access Control

Giving an AI agent write access to your primary marketing automation pipeline requires strict governance. Truto's MCP architecture provides native controls to ensure Claude only touches what it should.

• Method Filtering: When creating the MCP server, you can pass "methods": ["read"]. This strips all create, update, and delete tools from the LLM's context, making the connection strictly read-only.
• Tag Filtering: You can restrict the server to specific resource tags. For example, passing "tags": ["leads", "meetings"] ensures the LLM cannot accidentally access legacy reporting or company-level endpoints.
• Mandatory Authentication: By enabling require_api_token_auth, the Truto MCP URL becomes insufficient on its own. The Claude client (or downstream agent framework) must also inject a valid Truto API token via a Bearer header to execute tools.
• Expiring Access: Using the expires_at parameter, you can provision an MCP server that automatically self-destructs at a specific ISO datetime. Truto's underlying KV storage and Durable Object alarms ensure the token is hard-deleted from memory.
• Rate Limit Transparency: Qualified strictly limits API consumption. Truto does not automatically retry or silently absorb rate limit errors. If an LLM triggers a 429 Too Many Requests error, Truto passes the error back to the caller along with normalized IETF headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset). The agent framework itself is responsible for acknowledging the backoff and retrying the operation.

Moving Past Point-to-Point Scripts

The traditional approach to integrating AI with B2B SaaS involves writing hardcoded Python scripts, managing custom OAuth flows, and manually parsing undocumented API payloads. That architecture crumbles the moment the vendor deprecates a field or introduces a new pagination cursor.

By routing Claude through a dynamically generated MCP server, you delegate the infrastructure tax. Truto handles the schema normalization, the token management, and the JSON-RPC execution, leaving your engineering team free to focus on designing better agentic workflows, rather than maintaining fragile point-to-point connections.