MCP server · Langdock

langdock

Langdock operates an official hosted Model Context Protocol server — the Langdock Agent MCP Server — that exposes the agents in a workspace as MCP tools to any MCP-compatible client. Authentication reuses the same workspace API key as the REST API; the key must carry the "Agent API" scope.

Open endpoint → Langdock provider profile

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Provider: Langdock Type: Hosted endpoint Transport: http Host: api.langdock.com

Endpoint

https://api.langdock.com/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": { "langdock": { "url": "https://api.langdock.com/mcp" } } }

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

# Add to claude_desktop_config.json { "mcpServers": { "langdock": { "command": "npx", "args": ["-y", "mcp-remote", "https://api.langdock.com/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://api.langdock.com/mcp \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

find_agent — Search for an agent ID by name
ask_agent — Send a prompt to an agent specified by its ID
ask_custom_agent — Configure and query a custom agent on-the-fly

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.

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