Calven MCP server
Your approved GTM context, in every AI tool
Your ICP, positioning, messaging and competitive intel, with sources, inside the AI tool your team already uses.
Online research
Competitors, news, market
Documents
Decks, reports, briefs
Call notes
Meetings, transcripts
CRM
Deals, contacts
Win/loss
Surveys, interviews
9 agents extract the insights
Calven MCP
Your GTM source of truth
- Competitor intel
- Win/loss surveys
- Customer voice
- Market trends
- Market opportunities
- ICP profile
- Positioning framework
- Persona definitions
- Product brief
- Messaging framework
- Pipeline insights
- And many more…
Official data you can rely on
Claude
ChatGPT
Codex
Cursor
GitHub Copilot
Any MCP client
What is Calven MCP?
Calven MCP is a Model Context Protocol server: the standard way AI tools read from other apps. It gives Claude, ChatGPT and other AI tools the market, buyer and positioning knowledge Calven's nine agents keep current, as your team approved it.
- Every claim shows its source
- Answers cite the document, call or deal behind them.
- Works where your team works
- Claude, ChatGPT, Cursor, GitHub Copilot and any MCP tool.
- Always current
- Nine agents update it. Your team approves the changes.
- One story for every team
- Sales, marketing and product get the same answers.
How can product marketers use Calven MCP?
Just a few examples of what’s possible. All of them work in any AI tool, not only Claude.
Win/loss readout
The quarterly read on why deals are won and lost, each finding tied to the deal behind it.
Competitive teardown
A full read on one competitor, from product and pricing to the deals it touched.
Customer evidence pack
Verbatim quotes grouped by theme, strongest first, for any page, deck or objection.
Product gaps that cost deals
Missing capabilities ranked by the deals they lost, so the roadmap talk starts from evidence.
Weekly competitive update
This week’s competitor moves, written up for the field with what to say about each.
Win/loss by competitor
Why you win and lose against each rival, in the buyers’ own words.
Persona brief
One page on a persona for anyone writing, selling or building for them.
Persona read of your messaging
What lands with each buyer, what falls flat and the line they would not believe.
Campaign audience check
Check a campaign’s audience and copy against your ICP before the budget goes out.
Persona evidence gaps
Where a persona rests on thin evidence, and which interviews would close the gap.
Persona impact on deals
Win rate and deal size by persona, so you know which buyer to build for.
Segment evidence check
Whether the evidence for a vertical or segment is strong enough before you position for it.
Messaging audit
Catch where pages, decks and campaigns drift from the approved story.
Claim check
Every product, pricing and competitive claim checked, with the accurate wording next to each flag.
Launch messaging
Positioning, messaging and the launch kit, built from what buyers already told you.
Positioning variant
The core positioning adapted for a vertical or segment, without drifting from it.
Field launch brief
The talk track, objections and proof reps need before launch day.
Feature to buyer value
A feature turned into the outcome each persona cares about.
Question: Build a quarterly win/loss read for the board.
Used Calven MCP
Sources: Win/loss, 24 interviews · Q3 closed deals · Vantage battle card
Question: Write a one-page brief on our Head of Finance Operations persona for the content team.
Used Calven MCP
Sources: Persona: Head of Finance Ops · 18 call quotes · Win/loss, 12 deals
Question: Check this launch email against our approved messaging:https://docs.google.com/document/d/1Qx7Lm9/edit
Used Calven MCP
- "The all-in-one platform" becomes "Close the books in three days." We dropped the all-in-one claim in Q1.
- "AI-powered automation" becomes "Matches 90% of transactions on its own." Lead with the outcome.
- "Trusted by enterprises" becomes "Used by 40 mid-market finance teams." Our ICP is mid-market.
Sources: Messaging framework · Value props · ICP: mid-market finance
See how other teams can use Calven MCP
Every team answers from your approved story, without pinging you.
How do I connect Calven MCP?
Needs a Calven workspace (14-day trial, no card). Paste the server URL into your AI tool, choose OAuth and sign in.
Connect Calven to Claude
- Open Settings → Connectors → Add custom connector in claude.ai or Claude Desktop.
- Name it
Calven, paste the server URL and click Connect. - Sign in to Calven, then enable Calven from the tools menu in a new chat.
https://api.calven.ai/mcp
Connect Calven to ChatGPT
- Open Settings → Apps & Connectors → Advanced settings and turn on Developer mode.
- Click Create: name
Calven, the server URL, authentication OAuth. - Add Calven from the + menu in a new chat. Needs Plus, Pro, Business or Enterprise.
https://api.calven.ai/mcp
Connect Calven to Cursor
- Open Settings → MCP → Add new MCP server.
- Name it
calven, type HTTP, paste the server URL, and sign in when prompted.
https://api.calven.ai/mcp
{ "mcpServers": { "calven": { "url": "https://api.calven.ai/mcp" } } }Connect Calven to GitHub Copilot in VS Code
- Open the command palette and run MCP: Add Server.
- Choose HTTP, paste the server URL and name it
calven.
https://api.calven.ai/mcp
Connect Calven to Claude Code & Codex
- Run one command, then sign in to Calven in the browser window that opens.
claude mcp add --transport http calven https://api.calven.ai/mcp codex mcp add calven --url https://api.calven.ai/mcp
Connect Calven to Other clients
- Any client that supports remote Streamable HTTP and OAuth works: paste the server URL and sign in.
- No OAuth? Create a personal key in Calven → Settings → API & MCP and send it as
Authorization: Bearer <key>. Keep the key out of shared config.
https://api.calven.ai/mcp
Test status per client, troubleshooting and the plugin setup are in the public repository.
Help: support@calven.ai. Security reports: security@calven.ai. How we handle MCP data: Privacy Policy.
Calven MCP, answered
What is Calven MCP?
Calven MCP is a remote Model Context Protocol server at https://api.calven.ai/mcp. It gives Claude, ChatGPT, Cursor, GitHub Copilot and any other MCP client read access to your company’s approved ICP, positioning, messaging, personas, competitor intel, win/loss and customer evidence in Calven, with the source behind every answer.
Which AI tools work with Calven MCP?
Any client that supports remote Streamable HTTP with OAuth or a bearer header. Setup steps are documented for Claude (claude.ai and desktop), ChatGPT, Cursor, VS Code with GitHub Copilot, Claude Code and Codex. Per-client test status is in the public repository.
Can Calven MCP change our data?
No. The server is read-only: it writes, sends and publishes nothing. The one action, review_against_personas, starts a persona review and returns findings without changing your workspace.
How does authentication work?
Each person signs in to Calven with OAuth and sees only what their Calven role allows. Admins decide whether call transcripts and pipeline are readable over MCP, and removing a user removes their MCP access. Clients without OAuth can use a personal key.
How does Calven MCP prevent AI hallucinations?
It answers only from what is recorded in your Calven workspace, and every claim carries its source. When nothing is recorded, the server says so instead of filling the gap from web search or model memory. Dashboard numbers come with their sample size and window.
Which plans include Calven MCP?
Every plan, including the 14-day free trial. Professional and Enterprise include unlimited seats, so everyone in the company can connect their own AI tool.
Two weeks trial. You'll only need a day.
A day is all it takes to see what the agents can do for you.
You won't go back.
Used Calven MCP