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Enables AI assistants to access buyer intent signals, MEDDIC qualification data, and lead intelligence from Parsley accounts for lead qualification and follow-u
Enables AI assistants to access buyer intent signals, MEDDIC qualification data, and lead intelligence from Parsley accounts for lead qualification and follow-up.
A Model Context Protocol server that exposes buyer intent signals, MEDDIC qualification data, and lead intelligence from your Parsley account to AI assistants like Claude Desktop and Cursor.
Ask your AI assistant natural questions about your leads:
If you also have a CRM MCP connected (Attio, HubSpot, Salesforce, etc.), Claude can cross-reference automatically - finding hot leads with no CRM follow-up, prepping you for calls with full context from both systems.
Generate an API key at parsley.id/hub/api-keys. You need a Parsley account with the chatbot enabled.
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"parsley": {
"command": "npx",
"args": ["-y", "@tryparsley/mcp-server"],
"env": {
"PARSLEY_API_KEY": "pk_live_your_key_here"
}
}
}
}
Add to your Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"parsley": {
"command": "npx",
"args": ["-y", "@tryparsley/mcp-server"],
"env": {
"PARSLEY_API_KEY": "pk_live_your_key_here"
}
}
}
}
| Variable | Required | Description |
|---|---|---|
PARSLEY_API_KEY |
Yes | Your Parsley API key (pk_live_...) |
PARSLEY_BASE_URL |
No | API base URL (defaults to https://www.parsley.id) |
| Tool | Description |
|---|---|
get_analytics_summary |
Dashboard overview - profile views, conversations, lead quality breakdown, top topics, conversion rate |
| Tool | Description |
|---|---|
get_conversations |
List recent conversations with filtering by lead quality, intent signal, date range |
get_conversation_detail |
Full conversation detail - MEDDIC signals with evidence quotes, engagement, enrichment |
get_hot_leads |
Hot and warm leads with MEDDIC evidence - the morning briefing tool |
search_by_intent |
Find conversations by MEDDIC signals, intent score, or topic |
get_knowledge_gaps |
Unanswered chatbot questions grouped by topic and frequency |
get_lead_enrichment |
Extracted company, role, timeline, and budget context from conversations |
get_meddic_summary |
Aggregate MEDDIC signal distribution - per-signal counts, top combinations |
Predefined workflow templates that appear in Claude's prompt picker.
| Prompt | Cross-MCP | Description |
|---|---|---|
morning_briefing |
Yes | Hot leads summary with follow-up priorities. Cross-references CRM if connected. |
stale_leads_check |
Yes | Qualified leads with no recent CRM activity. Requires a CRM MCP. |
coaching_gaps |
No | MEDDIC gaps with suggested follow-up questions for each lead. |
content_opportunities |
No | Knowledge gaps turned into blog post, chatbot doc, and FAQ suggestions. |
deal_prep |
Optional | Pre-call briefing on a company/person. Pulls CRM context if available. |
Prompts marked "Cross-MCP" work with any CRM that has an MCP server. Connect both Parsley and your CRM's MCP to Claude, and the prompts will orchestrate across both automatically. No extra configuration needed.
Tested with: Attio, HubSpot, Salesforce, Copper, Pipedrive.
get_analytics_summary tool onlyUpgrade at parsley.id/pricing.
git clone https://github.com/peterjduffy/parsley-mcp.git
cd parsley-mcp
npm install
npm run build
PARSLEY_API_KEY=pk_live_xxx node dist/index.js
MIT
Run in your terminal:
claude mcp add parsley-mcp-server -- npx Security
Low riskAutomated heuristic from public metadata — not a security guarantee.