Lindy Documentation MCP Server
A live, anonymous, remote MCP server on Lindy's own documentation host. It is a documentation-retrieval server generated by the Mintlify platform that runs docs.lindy.ai, not a server over the Lindy product. It exposes documentation search, a read-only virtual filesystem over the published docs pages, and a feedback submission tool. Lindy publishes no MCP server over its agent platform itself; Lindy is instead an MCP *client* — its agent builder connects to third-party hosted MCP servers and turns their tools into agent actions (https://docs.lindy.ai/integrations/mcp).
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Documentation
Documentation link · transport streamable-http
Tools
search_lindy_documentation— Search across the Lindy Documentation knowledge base to find relevant information, code examples, API references, and guides.query_docs_filesystem_lindy_documentation— Read-only shell-like query (rg, grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq) against a virtualized in-memory filesystem containing only the Lindy documentation pages and OpenAPI specs. Stateless; no writes, no network, no process control.submit_feedback— Report a problem with this documentation site so the docs team can fix it.
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.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.