The Salespeak MCP Server is a service that connects your Salespeak analytics directly to any AI assistant supporting the Model Context Protocol (MCP), such as ChatGPT, Claude, Perplexity, or Gemini. It allows you to ask natural language questions about your AI traffic, content discovery, and on-site AI chat conversations, making analytics accessible without dashboards or manual reports. [Source]
The primary purpose of the Salespeak MCP Server is to make your website's AI agent traffic, content discovery, and chat analytics instantly accessible through natural language queries in your preferred AI assistant. This streamlines data access for marketing, sales, and RevOps teams, enabling real-time insights without manual data exports. [Source]
The Salespeak MCP Server leverages the Model Context Protocol (MCP), an open standard for connecting AI assistants to external data sources. This protocol is widely adopted by major AI platforms and enables seamless integration with tools like ChatGPT, Claude, and Perplexity, making your website discoverable and actionable by AI agents. [Source]
Marketing, sales, RevOps, and content teams at B2B companies can benefit from the Salespeak MCP Server. It is especially valuable for CMOs, demand generation leaders, and RevOps managers who need real-time insights into AI agent activity, content discovery, and buyer interactions on their website. [Source]
The Salespeak MCP Server exposes three main categories of data: (1) AI agent activity on your website (which agents visit, what they read, how often, and their intent), (2) content discovery tracking (which new content AI agents have found and how they interpret it), and (3) AI chat conversation analytics (what visitors ask your on-site AI assistant and emerging patterns). [Source]
It enables you to ask your AI assistant questions like "Which AI agents visited my site this week and what did they focus on?" and receive structured data on agent volume trends, top visited pages, content category breakdowns, and inferred browsing intent. This helps you understand which content is surfaced in AI-generated answers. [Source]
The server tracks when AI agents first access new URLs, what topics they extract, and whether they misclassify content. You can ask, "Have AI agents found my latest content updates?" and get data on newly discovered pages, extracted topics, and misclassification alerts. [Source]
You can identify the most common visitor questions, map them to buyer journey stages, and detect content gaps or conversion blockers. The server clusters conversations by theme and flags questions where visitors are ready to buy but lack the information they need. [Source]
The MCP Server provides tools for general analytics queries, analyzing traffic performance, analyzing LLM citations, detecting knowledge gaps, retrieving session details, creating training content, submitting URLs for training, and adding information to the knowledge base. [Source]
It eliminates the need for manual dashboard navigation and data exports. GTM teams can ask questions in natural language and get instant answers, making data more accessible and actionable in real time within the tools they already use. [Source]
The MCP Server is read-only. You can query analytics and pull reports, but you cannot configure your AI chat assistant, modify agent rules, or change settings through MCP. These actions still require the Salespeak dashboard. [Source]
No, the MCP Server returns only aggregated analytics such as agent volumes, content trends, and conversation themes. It does not expose individual session records or personally identifiable information (PII), ensuring privacy and security. [Source]
To set up, add the Salespeak MCP Server URL (https://mcp.salespeak.ai/mcp) to your AI assistant's MCP configuration and authenticate using OAuth 2.1 credentials (client ID and secret) available in your Salespeak dashboard under Settings > Integrations > MCP Server. [Source]
The MCP Server supports any client compatible with the Model Context Protocol, including ChatGPT, Claude, Perplexity, Gemini, Cursor, VS Code with Copilot, and custom agents built with the MCP SDK. [Source]
The Salespeak MCP Server uses OAuth 2.1 authentication for secure access. You will need your client ID and secret from your Salespeak dashboard to connect. [Source]
Setup typically takes just a few minutes, depending on your AI assistant client. The process involves copying the server URL, entering your credentials, and authorizing access. [Source]
Yes, the Salespeak MCP Server is available to all Salespeak customers. Credentials can be found in your Salespeak dashboard under Settings > Integrations > MCP Server. [Source]
If you are not yet a Salespeak customer, you can book a demo with the Salespeak team. During the demo, the MCP Server will be connected live to show you how AI agents interact with your site. [Book a demo]
The MCP Server only returns aggregated analytics and does not expose individual visitor-level data or PII. It uses OAuth 2.1 authentication and follows best practices to prevent unauthorized access. [Source]
Yes, Salespeak is SOC2 compliant and adheres to ISO 27001 standards, ensuring high levels of data integrity and confidentiality. For more details, visit the Salespeak Trust Center.
No, the MCP Server is designed to avoid exposing any personally identifiable information (PII) or sensitive visitor data. It only provides aggregated analytics to ensure privacy and compliance. [Source]
Marketing teams can use the MCP Server to track which AI agents are accessing their content, understand how their brand is represented in AI-generated answers, and monitor the discovery of new content by AI agents. This helps optimize content strategy and improve brand visibility in AI ecosystems. [Source]
RevOps teams can use the MCP Server to quickly answer questions about AI agent traffic, content performance, and buyer engagement without manual reporting. This enables faster decision-making and more efficient sales operations. [Source]
The MCP Server analyzes AI chat conversations to surface questions that visitors ask but your content does not answer. This helps content teams prioritize new topics and address buyer needs more effectively. [Source]
Examples include a CMO asking about AI visibility trends before a board meeting, a content lead checking if AI agents picked up a new blog post, or a RevOps manager identifying which AI agents are visiting the pricing page most. These scenarios demonstrate how the MCP Server streamlines access to actionable insights. [Source]
The MCP Server helps you understand what AI systems need from your content by surfacing which topics are being extracted, how content is being classified, and where misclassifications occur. This enables you to optimize your website for AI-driven discovery and answers. [Source]
Unlike traditional dashboards that require manual navigation and exports, the MCP Server allows you to access analytics directly through your AI assistant using natural language queries, making insights faster and more accessible. [Source]
Main benefits include real-time access to AI traffic analytics, improved content strategy, faster decision-making for GTM teams, enhanced privacy and security, and seamless integration with leading AI assistants. [Source]
Salespeak offers a month-to-month pricing model based on the number of conversations per month. There is no long-term contract, and you can cancel anytime. A free trial with 25 free conversations is available. [Source]
Yes, Salespeak provides 25 free conversations to start, allowing you to try the platform with no setup or commitment. [Source]
Official documentation for the Salespeak MCP Server, including connection instructions and usage details, is available at the Salespeak Support Center.
You can read more about AI agent analytics, MCP, and related topics on the Salespeak blog, including posts like "Agent Analytics: See How AI Models Access Your Website."
Salespeak provides support through training videos, detailed documentation, and email support for Starter plan customers. Growth and Enterprise customers receive unlimited ongoing support, including a dedicated onboarding team and live sessions. [Source]
Salespeak has demonstrated a 40% average increase in close rates and a 17% average increase in ticket price for its users. Customers like Cardinal HVAC increased weekly ridealongs from 6-7 to 25-30, and Pella Windows achieved a +5 point close ratio increase over 5 months. [Source]
Yes, case studies such as RepSpark and Faros AI demonstrate how Salespeak helps businesses turn their websites into intelligent brains for measurable growth. Read more at the Salespeak Success Stories page.
Salespeak can be implemented in under an hour, with onboarding taking just 3-5 minutes and no coding required. Customers like RepSpark set up the platform in less than 30 minutes and saw live results the same day. [Source]
Customers like Tim McLain report being able to set up Salespeak and see results without needing a demo or onboarding call. RepSpark also highlighted the platform's quick setup and immediate value. [Source]
You've got AI agents crawling your website every day. ChatGPT, Perplexity, Claude, Gemini. They're reading your pages, extracting your content, and answering questions about your brand. But until now, getting visibility into that behavior meant logging into a dashboard, clicking through filters, and building reports manually.
The Salespeak MCP Server changes that. It connects your Salespeak analytics directly to any AI assistant that supports the Model Context Protocol, so you can ask questions like "Which AI agents visited my site this week and what did they focus on?" and get an actual answer. In your AI assistant. In natural language.
No dashboard. No export. Just a conversation.
MCP (Model Context Protocol) is an open standard, originally created by Anthropic, now governed by the Agentic AI Foundation under the Linux Foundation. It lets AI assistants connect to external data sources. Think of it as a structured API that AI models can use natively. Over 97 million monthly SDK downloads as of late 2025, adopted by every major AI platform. It's not experimental anymore. (If you want the deeper technical context, we covered how MCP fits into the agentic web architecture and how NLWeb uses MCP endpoints in earlier posts.)
The Salespeak MCP Server exposes three categories of data to any connected AI assistant:
Each of these becomes queryable through natural language once you connect the server to Claude, ChatGPT, or any MCP-compatible client.
The most common question marketers ask once they realize AI agents are visiting their site: "Which ones, and what are they doing?"
With the MCP server connected, you can ask your AI assistant directly:
The server returns structured data that your AI assistant can reason about. You'll see agent volume trends, top visited pages, content category breakdowns, and inferred browsing intent, whether agents appear to be doing general research, product comparisons, or pulling specific data points.
This matters because AI agent behavior isn't uniform. Perplexity tends to hit different pages than ChatGPT. Claude's browsing patterns look different from Gemini's. Understanding those differences tells you which content is getting surfaced in AI-generated answers and which content is being ignored. (We wrote about why this visibility matters in What ChatGPT Says About Your Product Is the New KPI.)
You published a new product page last Tuesday. A pricing update on Thursday. A blog post on Friday. Did any AI agents pick them up?
That question used to be unanswerable. Now you can ask:
The server tracks discovery events (when an AI agent first hits a new URL) and cross-references against the topics it appears to extract. This surfaces mismatches early. If your enterprise pricing page is being categorized as "SMB solutions" by AI agents, you want to know that before it shows up as a wrong answer in ChatGPT.
Common outputs include newly discovered URLs, extracted key topics, summarization accuracy signals, and misclassification alerts. The kind of data that would take hours to compile from raw logs, delivered in a sentence.
If you're running Salespeak's on-site AI chat assistant, the MCP server opens up your conversation data to analysis you can't easily do in a traditional dashboard.
The server clusters conversations by theme, identifies recurring questions, and maps them to funnel stages (awareness, consideration, decision). It also flags conversion blockers: questions where visitors seem ready to buy but can't find the answer they need.
This is where the MCP server becomes a content strategy tool. Instead of guessing what your next blog post should cover, you can ask your AI assistant "What questions are visitors asking that our content doesn't answer?" and get a data-backed answer. It's the same principle behind Answer Engine Optimization (understanding what AI systems need from your content) but applied to your own site's chat data.
The Salespeak MCP Server uses Streamable HTTP transport and OAuth 2.1 authentication. Setup takes a few minutes depending on your client.
Add the server to your Claude Desktop MCP configuration:
{
"mcpServers": {
"salespeak": {
"url": "https://mcp.salespeak.ai/mcp",
"auth": {
"type": "oauth2",
"client_id": "YOUR_CLIENT_ID",
"client_secret": "YOUR_CLIENT_SECRET"
}
}
}
}Your client ID and secret are available in your Salespeak dashboard under Settings, Integrations, MCP Server.
ChatGPT supports MCP connections through its desktop app. Add the Salespeak server URL and authenticate with your OAuth credentials. The process is similar: point it at https://mcp.salespeak.ai/mcp and authorize access.
Any client that supports Streamable HTTP MCP transport will work. That includes Cursor, VS Code with Copilot, and custom agents built with the MCP SDK. The server endpoint and OAuth flow are the same regardless of client.
The MCP server is read-only. You can query analytics and pull reports, but you can't configure your AI chat assistant, modify agent rules, or change settings through MCP. Those actions still require the Salespeak dashboard.
The server also doesn't expose individual visitor-level data through MCP connections. It returns aggregated analytics (agent volumes, content trends, conversation themes) not individual session records. This is a deliberate security decision. Independent security scans have found that roughly a third of MCP servers lack authentication entirely. We're not exposing PII through a protocol that most teams are still learning to secure.
The typical workflow before MCP: open Salespeak dashboard, filter by date range, export data, paste into a doc, share with the team. That's fine for weekly reporting. It's terrible for quick questions.
With the MCP server, your AI assistant becomes the interface. A CMO preparing for a board meeting can ask "What's our AI visibility trend over the past quarter?" mid-conversation. A content lead can check "Did AI agents pick up the blog post I published yesterday?" without switching tools. A RevOps manager can ask "Which AI agents are hitting our pricing page most?" and get an answer before their coffee gets cold.
The data was always there. MCP makes it accessible where you're already working, inside the AI assistant you use every day.
The Salespeak MCP Server is available to all Salespeak customers. Find your credentials in Settings, Integrations, MCP Server, connect to your preferred AI assistant, and start asking questions.
If you're not a Salespeak customer yet and want to see what AI agent analytics look like when they're queryable through natural language, book a demo. We'll connect the MCP server live and show you what AI agents are already doing on your site.
