Documentation Index
Fetch the complete documentation index at: https://docs.prontohq.com/llms.txt
Use this file to discover all available pages before exploring further.
The Pronto MCP server enables your AI agents and tools to interact directly with Pronto’s products via the Model Context Protocol. Once connected, your AI assistant can find companies, search leads, and enrich contacts on your behalf.
Server URL: https://mcp.prontohq.com/mcp
Two authentication methods are supported: OAuth (for Claude and ChatGPT) and API key (for Claude Code, Cursor, and any MCP-compatible tool that supports custom headers).
Prerequisites
- A Pronto account with an API key
- Node.js — only required for Claude Code and Cursor
Installation
Claude
Open the Connectors panel
In the Claude sidebar, click Customize, then go to Connectors.
Add a custom connector
Click +, then Add custom connector.
Fill in the connector details
Set Name to Pronto and URL to https://mcp.prontohq.com/mcp, then save.
Authenticate
Follow the OAuth flow to connect your Pronto account.
ChatGPT
Enable developer mode
Go to Settings → Apps → Advanced settings and activate Developer mode.
Create a new app
Click Create app.
Fill in the app details
Set Name to Pronto, MCP server URL to https://mcp.prontohq.com/mcp, and Authentication to OAuth, then save.
Authenticate
Follow the OAuth flow to connect your Pronto account.
Claude Code
Run the following command in your terminal, replacing YOUR-API-KEY with your Pronto API key:
claude mcp add pronto -e API_KEY=YOUR-API-KEY -- npx mcp-remote https://mcp.prontohq.com/mcp --header "X-API-Key:\${API_KEY}"
Companies
| Tool | Description |
|---|
enrich_account | Enrich a company with firmographic data |
search_accounts | Search companies on LinkedIn Sales Navigator by filters |
find_lookalike_companies | Find companies similar to one or more reference companies |
get_company_stack | Get the technology stack of a company |
Leads
| Tool | Description |
|---|
search_leads | Extract leads from a LinkedIn Sales Navigator URL |
search_leads_in_company | Search for leads at a specific company |
advanced_search_leads | Search for leads using advanced filters (job titles, locations, seniority, company size, industries, signals…) |
get_searches | Retrieve all lead searches |
get_search | Get the status and results of a lead search |
| Tool | Description |
|---|
single_enrich_contact | Synchronously enrich a single contact with email and/or phone |
bulk_enrich_contacts | Enrich multiple contacts with email or phone (min 2, max 100) |
get_contact_enrichment | Get the enrichment result for a contact by its enrichment ID |
Lists
| Tool | Description |
|---|
create_list | Create a new company list and push companies into it on LinkedIn Sales Navigator |
get_lists | Retrieve all Sales Navigator lists |
get_list | Retrieve a single list by its ID |
update_list | Add companies to an existing Sales Navigator list |
Personas
| Tool | Description |
|---|
list_personas | Retrieve all personas defined in the Pronto account |
get_persona | Retrieve a single persona by its UUID |
Signals
| Tool | Description |
|---|
extract_posts | Extract recent posts from a LinkedIn profile or company page |
extract_reactions | Extract posts that a LinkedIn member has reacted to |
extract_comments | Extract comments made by a LinkedIn member |
extract_post_engagers | Extract people who reacted or commented on a LinkedIn post |
Jobs
| Tool | Description |
|---|
get_job_result | Poll for the result of an async job |
Utilities
| Tool | Description |
|---|
search_locations | Search for LinkedIn Sales Navigator location IDs by name |
search_industries | Search for LinkedIn industry IDs by name — call this before advanced_search_leads when the user mentions an industry |
get_credits | Get remaining Pronto credits |
Example prompts
Here are some examples of what you can ask your AI agent to do with the Pronto MCP server.
People enrichment
Find the workers at ProntoHQ and find their phones and emails.
The agent uses enrich_account to find ProntoHQ’s LinkedIn ID, then search_leads_in_company to list employees, then bulk_enrich_contacts to retrieve their emails and phones.
Targeted prospecting
Find the [job title] of [industry] companies in Paris.
The agent uses search_locations to get the Paris location ID, then search_accounts to find [industry] companies, then search_leads_in_company to find [job title] at each company, then bulk_enrich_contacts to retrieve their emails and phones.
Roadmap
The MCP server is updated regularly. Upcoming work:
- Additional tools for Signals, Lists, and Personas
- CSV download support
- Custom UI cards
- Token-usage optimizations
