Parsley
Query buyer intent signals, MEDDIC qualifications, and lead scores from your Parsley account.
What it can do
- Get Conversations: List recent chatbot conversations with filtering by lead quality, intent signal, and date range.
- Get Conversation Detail: Get full details of a single conversation including MEDDIC signals, engagement metrics, and enrichment data.
- Get Hot Leads: Get all hot and warm leads with MEDDIC evidence. The morning briefing tool.
What data it sees
Do you need an account
An API key from the service settings is required
Query buyer intent signals, MEDDIC qualifications, and lead scores from your Parsley account. 8 tools for sales intelligence - get hot leads, search by intent, surface knowledge gaps, prep for calls. 5 workflow prompts including morning briefing and stale leads check. Works alongside any CRM MCP (Attio, HubSpot, Salesforce) for cross-platform sales workflows. API key required.
How to connect
How to connect Parsley to Claude
The server address to paste into Claude settings:
https://mcp-server--parsley.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Parsley to ChatGPT
The server address to paste into ChatGPT settings:
https://mcp-server--parsley.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Parsley to Cursor
The server address to paste into Cursor settings:
https://mcp-server--parsley.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (8)
Raw names from tools/list. Only developers need these.
| get_conversations | List recent chatbot conversations with filtering by lead quality, intent signal, and date range. |
| get_conversation_detail | Get full details of a single conversation including MEDDIC signals, engagement metrics, and enrichment data. |
| get_hot_leads | Get all hot and warm leads with MEDDIC evidence. The morning briefing tool. |
| get_analytics_summary | Dashboard-level overview: views, conversations, lead counts, conversion rate. |
| search_by_intent | Find conversations matching specific MEDDIC signals, intent score, or topic. |
| get_knowledge_gaps | Surface unanswered questions from chatbot conversations, grouped by topic. |
| get_lead_enrichment | Get extracted company, role, timeline, and budget context from conversations. |
| get_meddic_summary | Aggregate MEDDIC signal distribution across all conversations. |