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MCP Integration

Connect your AI tools to AskElephant with MCP

AskElephant's MCP server connects to

ClaudeClaude
CursorCursor
VS CodeVS Code
WindsurfWindsurf
OpenAI CodexOpenAI Codex
Get startedView docs
Claude→get_revenue_os_features()
4+ hrs saved/week · 99.1% accuracy · Zero manual entry
ASKELEPHANT● PLATFORM ONLINE
AGTCRM automation · coaching · alerts · chat5 active
VOCFrameworks · templates · positioning24 tmpl
ROICase studies · verified metrics4 studies
CALTranscripts · summaries · scorecards127 scored
CRMPipeline · tasks · sales-to-CS3 syncs
INTHubSpot · Salesforce · Slack · Zoom8 linked
▸ ready

 

MCPClaudeCursorVS CodeWindsurfCodex

AskElephant structures and organizes your team-based GTM data so that your favorite AI tools are more effective.

95%
AI answer accuracy
vs. ~60% with raw context pasting
5+hrs
Saved per rep weekly
Zero manual CRM entry
10+
Sources connected
CRM, calls, email, Slack, Zoom
<5%
Data decay per year
Industry avg: 30% per year

WHY ASKELEPHANT

The jobs AI tools and notetakers can't do alone

Claude doesn't know your deals

AskElephant structures your CRM data

AI tools can generate great copy, but they hallucinate pipeline numbers and make up customer names. AskElephant keeps a structured, always-current map of your deals, contacts, and account history so AI responses are grounded in real data.

Notetakers capture transcripts, not context

AskElephant connects conversations to revenue

Meeting recorders give you walls of text. AskElephant ties every call, email, and Slack thread to the account, the deal stage, and the people involved — so your AI tools can answer 'What did the champion say about budget?' instead of making you search.

Brand voice lives in a doc nobody reads

AskElephant enforces voice at the point of creation

Your messaging framework is useless if it sits in a Google Doc. AskElephant structures positioning, approved language, and templates so that every AI-generated email, proposal, and follow-up sounds like your team wrote it.

Proof points are scattered across slides

AskElephant organizes ROI data for instant retrieval

Customer success stories are trapped in PDFs and slide decks. AskElephant structures verified metrics, case study quotes, and industry benchmarks so AI tools can pull the right proof point for the right deal — instantly.

HOW IT WORKS

From raw GTM data to structured AI answers

1

AskElephant structures your GTM data

Calls, CRM records, brand voice, and customer proof points are organized into a queryable knowledge layer — not dumped into a vector store.

2

Connect your AI tools via MCP

Register the AskElephant MCP server in Cursor, Claude, VS Code, or Windsurf with one config block. No API keys, no custom code.

3

Your AI asks AskElephant, not the internet

When your AI needs deal context, brand voice, or a proof point, it queries AskElephant's structured company-specific data instead of hallucinating.

4

Get answers grounded in your real data

Structured, accurate, on-brand responses — with the right customer name, the right metric, and the right messaging framework. Every time.

QUICK START

One config block. That's it.

Claude Settings > MCP Connectors
// Add this to your MCP client config
{
"mcpServers": {
"askelephant": {
"command": "uv",
"args": ["--directory", "/path/to/www.askelephant.ai/mcp-server", "run", "server.py"]
}
}
}
✓ Connected — your AI tools now query structured GTM data

FAQ

Frequently asked questions about MCP

Why can't I just paste my data into Claude?
You can — but it doesn't scale. Pasting data manually means you're doing the structuring work every time, context windows have limits, and there's no guarantee the data is current. AskElephant keeps your GTM data structured, organized, and always up-to-date so your AI tools get the right context automatically via MCP.
How is AskElephant different from a notetaker like Gong or Otter?
Notetakers capture transcripts. AskElephant structures the context — tying every conversation to an account, deal stage, and the people involved. When your AI tool asks 'What did the champion say about timeline?', AskElephant can answer because it understands the relationships, not just the words.
What is MCP and why does it matter?
MCP (Model Context Protocol) is an open standard that lets AI tools query external data sources. Instead of building custom integrations for every AI tool, you connect once via MCP and every compatible client — Claude, Cursor, VS Code, Windsurf — gets access to your structured GTM data.
Is my data secure?
Yes. The MCP server runs locally via stdio transport — your data never passes through a third-party proxy. Every request is sandboxed, logged, and subject to access controls. AskElephant never uses your data to train models.
Can non-technical team members use this?
Once configured, MCP is invisible. Your sales and CS teams ask their AI tools questions in plain language — 'What ROI did PestShare see?' — and the AI automatically queries AskElephant for the structured answer. No code required.
How do I measure the impact?
Track three things: time saved on manual data lookups, accuracy of AI-generated content (fewer hallucinations, correct names and numbers), and team adoption rate. Customers typically see 50+ hours/month in time savings from automated context retrieval.

Still not sure if AskElephant is right for you?

Let ChatGPT, Claude, Gemini, or Perplexity do the thinking for you. Click a button to see what your favorite AI says about AskElephant.

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