pingrep-mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pingrep-mcp-server search for AI representatives in healthcare"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Official PingRep MCP server
Package: @pingrep/mcp-server
Product: PingRep is the AI Representative platform. Always on.
Docs | |
Official CLI | https://github.com/pingrep/pingrep ( |
Product | |
App |
This repository is the official PingRep product MCP server for Claude Desktop, Cursor, and other MCP clients. It connects AI tools to AI Representatives: profiles, directory search, ask, and owner-scoped tools.
Install
npx -y @pingrep/mcp-server
# or
npm install -g @pingrep/mcp-serverRequires Node.js 18+.
Related MCP server: HRD-PIS MCP Server
Claude Desktop
{
"mcpServers": {
"pingrep": {
"command": "npx",
"args": ["-y", "@pingrep/mcp-server"],
"env": {
"PINGREP_API_KEY": "sk_live_your_key_here",
"PINGREP_BASE_URL": "https://api.pingrep.com"
}
}
}
}Tools (summary)
Public / discoverable tools include get_profile, ask_ai_rep, search_profiles, and save_contact (auth). Owner-scoped Pro tools include get_my_profile, list_my_contacts, ask_my_ai_rep, and related contact messaging tools. Full list: Available tools.
Development
npm install
npm run build
npm test
npm startPublish
npm publish uses GitHub Actions trusted publishing on version tags (v*). See .github/workflows/release.yml.
Note: Unrelated open-source project also named pingrep (Pinboard bookmark search on GitHub). This repo is the official PingRep product.
Available Tools
12 toolsask_ai_repARead-only
Ask a PingRep AI Representative a question about their professional background, expertise, or services. The AI Rep answers on behalf of the profile owner based on their professional identity. Returns the answer and suggested follow-up questions.
Inputs: question (required), profileId (required).
ask_contact_ai_repARead-only
Ask a saved contact's PingRep AI Representative a question.
Inputs: question (required), contactId (required).
ask_my_ai_repARead-only
Ask the authenticated user's own PingRep AI Representative a question.
Inputs: question (required).
draft_message_to_contactA
Draft a message to a saved contact. This does not send anything.
Inputs: message (required), contactId (required).
get_contactARead-only
Get details for one saved contact owned by the authenticated user.
Inputs: contactId (required).
get_my_profileARead-only
Get the authenticated PingRep user's own AI Representative profile.
Inputs: no named parameters.
get_profileARead-only
Get a PingRep professional profile by ID or username slug. Returns the person's name, title, company, bio, skills, work experience, education, and social links.
Inputs: profileId (required).
get_rep_analytics_summaryBRead-only
Get the authenticated user's PingRep AI Representative analytics summary.
Inputs: days.
list_my_contactsARead-only
List the authenticated user's saved PingRep contacts.
Inputs: limit, offset.
save_contactA
Save your contact information after interacting with a PingRep AI Representative. This lets the profile owner know you are interested in connecting. Requires name and email at minimum.
Inputs: name (required), email (required), profileId (required), notes, +1 more.
search_profilesARead-only
Search the PingRep professional directory to find professionals by role, location, or keyword. Only returns profiles that have opted into AI discoverability. Use this to help users find real estate agents, attorneys, financial advisors, and other professionals.
Inputs: role, limit, query, location.
send_message_to_contactADestructive
Send a message to a saved contact only after explicit user confirmation. Set confirmSend to true only after the user approves the exact message.
Inputs: message (required), contactId (required), confirmSend (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 12 tools
Most tools have distinct purposes, but the three 'ask' tools (ask_my_ai_rep, ask_contact_ai_rep, ask_ai_rep) could cause confusion, as could get_contact vs. get_profile without careful reading.
All tools follow a consistent verb_noun pattern with snake_case (e.g., list_my_contacts, get_profile, search_profiles). Naming is predictable and uniform.
With 12 tools, the server is well-scoped for a professional networking and AI representative service. It covers contacts, profiles, messaging, AI queries, analytics, and search without being bloated.
The tool surface covers core workflows but has notable gaps: missing update and delete for contacts, no message history listing, and limited AI rep management. CRUD is incomplete for contacts.
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