MCP server · FLORA

flora

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Provider: FLORA Type: Hosted endpoint Transport: http Host: agents.flora.ai

Endpoint

https://agents.flora.ai/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": { "flora-fauna": { "url": "https://agents.flora.ai/mcp" } } }

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

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

Tools

search_docs — Searches the @flora-ai/flora SDK documentation to find the right method, its parameter shapes, and usage examples. The agent calls this before writing code when unsure of a method name, argument structure, or return type.
execute — Runs a TypeScript snippet in a sandbox against a pre-authenticated @flora-ai/flora client. The agent defines `async function run(client) { ... }` and the server invokes it, returning the value plus any console.log output.

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.