MCP server · Poggio Labs

poggio

Open endpoint → Poggio Labs provider profile

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Provider: Poggio Labs Type: Hosted endpoint Transport: http Host: mcp.poggio.io

Endpoint

https://mcp.poggio.io/mcp

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

# mcp client config (e.g. .mcp.json / mcp settings) { "mcpServers": { "poggio-labs": { "url": "https://mcp.poggio.io/mcp" } } }

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

# Add to claude_desktop_config.json { "mcpServers": { "poggio-labs": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.poggio.io/mcp"] } } }

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

curl -i -X POST https://mcp.poggio.io/mcp \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

search — Returns a list of account intelligence documents for the supplied query.
fetch — Returns the full text of the requested account intelligence document.
create_account — Establishes a new account in your Poggio workspace with immediate intelligence gathering.
recreate_account_pages — Recreates all pages for an existing account using current default templates.
ask_poggio — Leverages Poggio's AI assistant with access to web search, Salesforce, Gong transcripts, and company intelligence for comprehensive research.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.