# Eden AI — MCP server on mcp.ai
> Connect your Eden AI account and use 10 tools for artificial intelligence straight from your AI agent. Connect with your own API key. Eden AI provides one API for accessing and orchestrating AI models across multiple providers for text, image, audio, document, and multimodal workloads.

By: mcp.ai · official
Page: https://mcp.ai/eden_ai

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_eden_ai?ms=1787293560000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/eden_ai/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/eden_ai/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/eden_ai/skill.md
Postman collection (v2.1): https://mcp.ai/eden_ai/postman.json

## Tools
- eden_ai_count_anthropic_tokens(model: string, tools?: object[], system?: string|object[], messages: object[], tool_choice?: object) — Count input tokens for an Anthropic-format message request before generation, including system content and tool definitions.
- eden_ai_create_anthropic_message(model: string, top_p?: number, system?: string|object[], messages: object[], fallbacks?: string[], max_tokens?: integer, temperature?: number, stop_sequences?: string[]) — Generate a non-streaming Anthropic-compatible message with content blocks, stop reason, token usage, provider metadata, and Eden AI cost. Each call runs a paid model and consumes Eden AI credits.
- eden_ai_create_chat_completion(model: string, messages: object[], fallbacks?: string[], max_tokens?: integer, temperature?: number, response_format?: object, reasoning_effort?: string, router_candidates?: string[]) — Generate a non-streaming OpenAI-compatible chat completion with a current Eden AI model and return its choices, token usage, provider, and cost. Each call runs a paid model and consumes Eden AI credit
- eden_ai_create_embeddings(user?: string, input: string|string[], model: string, dimensions?: integer, encoding_format?: string) — Create embeddings for one text or a batch of texts and return vectors with model, usage, provider, and cost metadata. Each call runs a paid model and consumes Eden AI credits.
- eden_ai_create_response(input?: string, model: string, store?: boolean, fallbacks?: string[], temperature?: number, instructions?: string, max_output_tokens?: integer, previous_response_id?: string) — Create or continue a synchronous OpenAI Responses-compatible text response, stored by default for later retrieval, and return its ID, structured output, text, usage, provider, and cost.
- eden_ai_discover_capabilities(query?: string, region?: string, feature?: string, provider?: string, model_type?: string, subfeature?: string, max_results?: integer, discovery_type?: string) — Find current Eden AI models or inspect Universal AI feature schemas, providers, pricing, and regions before an execution call.
- eden_ai_get_cost_overview(end_date?: string, provider?: string, start_date?: string, subfeature?: string, aggregation?: string) — Return current account credits and, when a date range is supplied, aggregated consumption filtered by provider or subfeature.
- eden_ai_get_response(response_id: string) — Retrieve a previously stored Responses API object by ID, including its status, text output, structured output, usage, and canonical model.
- eden_ai_moderate_text(input: string|string[], model?: string) — Classify one text or a batch of texts for safety categories and return flags, category scores, applied input types, provider, and cost. Each call runs a paid model and consumes Eden AI credits.
- eden_ai_run_universal_ai(input: object, model: string, fallbacks?: string[], provider_params?: object, show_original_response?: boolean) — Run one synchronous Eden AI Universal AI feature using a current model and feature-specific input. Call DISCOVER_CAPABILITIES first for the exact model ID and runtime input schema. Returns normalized 

## Example prompts
- "What can I do in Eden AI?"
- "Show me a summary of my Eden AI account"

## Links
Docs: https://mcp.ai/docs/mcps/eden_ai
Website: https://mcp.ai/mcps/eden_ai