1-Minute Quickstart
The hosted endpoint is plug-and-play. There is no API key to create, no developer token to sign up for, and no authentication header to add. The client config is the URL: https://app.prosyo.com/ai.
The first time Claude or Cursor connects, Prosyo opens an allow screen in the browser so the workspace can be chosen. That confirm is once. It stays out of the config file.
The same steps are on the live guide, with a card for each client.
Claude Desktop
Add this to claude_desktop_config.json. Full walkthrough: Connect Prosyo to Claude.
{
"mcpServers": {
"prosyo": {
"url": "https://app.prosyo.com/ai"
}
}
}
Restart Claude Desktop. Turn Prosyo on in the chat and ask.
Cursor
Add this to .cursor/mcp.json in the project, or to the global Cursor MCP config.
{
"mcpServers": {
"prosyo": {
"url": "https://app.prosyo.com/ai"
}
}
}
Reload MCP servers. Prosyo is available in Agent chat.
Cursor Marketplace
Install Prosyo from the Cursor Marketplace. The plugin in this repository connects Cursor to the same hosted server, https://app.prosyo.com/ai. The first connect opens a browser allow screen. No API key goes in the config.
Windsurf
Add this to ~/.codeium/windsurf/mcp_config.json. Windsurf's remote field is serverUrl. Headers stay empty.
{
"mcpServers": {
"prosyo": {
"serverUrl": "https://app.prosyo.com/ai"
}
}
}
VS Code and GitHub Copilot
Add this to .vscode/mcp.json. The top-level key is servers, and the type is http.
{
"servers": {
"prosyo": {
"type": "http",
"url": "https://app.prosyo.com/ai"
}
}
}
Smithery
Install into Claude from the verified Smithery listing:
npx @smithery/cli install hello-kmun/prosyo --client claude
Try it the moment it connects
- "Give me the Prosyo overview: running campaigns, unread replies, and credits." →
get_overview - "Draft a four-touch campaign for heads of talent at UK agencies. LinkedIn first, email on day five. Leave it as a draft." →
create_campaign - "Show unread inbox threads and draft a reply. Do not send it." →
list_inbox,draft_reply
Reads run immediately. Anything that sends, launches, enrolls, unlocks, researches, or spends credits stops and waits for a yes in chat, then confirm_action.
Architecture
The agent talks to one hosted endpoint. Prosyo runs the outbound engine behind it. Nothing is installed on the machine. Diagram on the live guide.
flowchart LR
A["AI Client (Claude / Cursor)"] -->|HTTPS Streamable HTTP| B["https://app.prosyo.com/ai"]
B --> C["Outbound Engine (LinkedIn + Cold Email + Unified Inbox)"]
Tools Directory
30 tools. Read tools return data immediately. Write tools that change who gets contacted, or that spend credits, prepare the action and finish only after confirm_action once the chat says yes. pause_campaign and save_intent_leads_to_list apply immediately.
Workspace · Campaigns · Prospecting · Inbox · Intent · Safety
The same directory, with the same anchors, is on the GitHub Pages guide.
Workspace
Campaigns
Prospecting & Enrichment
Unified Inbox
Intent Intelligence
Execution & Safety
Use Cases
Each of these is one prompt in the chat window. The agent picks the tools, shows the plan and the credit cost, then waits for a yes before anything leaves the workspace.
Trigger-based prospecting
Build a list from a buying signal instead of a job title. Pull companies showing a trigger, score them against the ICP, keep the ones worth a message and drop the rest before a credit is spent on research.
"Find agencies hiring SDRs this month, score them against my ICP, save the top 50 to a list."
Personalisation at volume
Research returns sourced facts, not adjectives, and turns them into an icebreaker, a connection note and a first email that can be read before anything sends.
"Research these 50, write me a first touch that opens with something specific to each company."
Multichannel sequences
Draft the full sequence, preview it merged against a real prospect, then launch it across LinkedIn outreach and cold email from the same chat.
"Build a 4-step sequence: connect, observation on day 3, Loom on day 7, break-up on day 12."
Inbox triage
Read LinkedIn and email replies in a single thread view, classify what is warm and get drafted responses approved one by one.
"Sweep my unread inbox, tell me who's interested, and draft replies for the warm ones."
Intent monitoring
Buying signals surface ICP-matched people from outside the workspace's own lists, with the source and date behind every signal so the "why now" can be judged.
"Who showed high intent this week? Show me the signals and save the unlocked ones to a list."
Pipeline reporting
Campaign health, reply rates, credits consumed and cost per reply, read straight out of the workspace with no CSV in the loop.
"Which campaign has the best reply rate, and what did each reply cost me in credits?"
Official MCP Registry
Prosyo is listed in the Official MCP Registry as io.github.ShubhamTuts/prosyo version 1.0.1.
The registry is the community index of publicly accessible MCP servers. The Model Context Protocol organization on GitHub runs it collaboratively, backed by Anthropic, GitHub, Microsoft, and PulseMCP.
Prosyo's record points at the hosted Streamable HTTP endpoint https://app.prosyo.com/ai. The manifest declares no API key and no authentication headers.
Resource Links
- Live guide: https://shubhamtuts.github.io/prosyo-mcp-server/
- App & Platform: https://prosyo.com
- Docs: https://prosyo.com/docs
- Support: [email protected]
- Connect Claude: https://prosyo.com/docs/ai/connect-claude/
- Smithery: https://smithery.ai/server/hello-kmun/prosyo
- Official MCP Registry: io.github.ShubhamTuts/prosyo
- Registry service: modelcontextprotocol/registry
- Reference servers: modelcontextprotocol/servers
- Source: https://github.com/ShubhamTuts/prosyo-mcp-server
- Prosyo on LinkedIn: linkedin.com/company/prosyo
- YouTube: @prosyo-ai
- Maintainer: Shubham Kumar Sinha
Copyright (c) 2026 Prosyo.
