Organization Admin: list workspaces (experimental path; may require separate admin base URL).
Generate MCP URLOverview: Organization Admin: list workspaces (experimental path; may require separate admin base URL) through Anthropic.
Benefits:
Common Use Cases:
1. Advanced Content Generation
AI agents call Anthropic's Claude models to generate long-form content, reports, and documentation with nuanced reasoning and high factual accuracy.
2. Document Analysis & Summarization
AI agents use Anthropic models to analyze lengthy documents, contracts, and research papers, extracting key insights and producing executive summaries.
3. Safe Conversational AI Workflows
AI agents leverage Anthropic's safety-focused models to build customer-facing chatbots and internal assistants with reliable, helpful, and harmless interactions.
4. Code Analysis & Generation
AI agents use Anthropic models to write, review, and debug code, generate documentation, and assist developers with complex programming tasks.
5. Multi-Step Reasoning & Decision Support
AI agents harness Anthropic's reasoning capabilities for complex decision-making workflows � evaluating options, analyzing trade-offs, and generating recommendations.
Uploads a file via multipart to the Files API (beta header). Pass file_path on the server filesystem. Returns file id. Use before attaching to prompts if supported by your workflow.
Organization Admin: archive workspace (POST delete semantics per API).
Retrieves metadata for a single model id.
Lists files for your workspace (beta). Optional pagination limit.
Organization Admin: get one API key metadata by id.
Organization Admin: get workspace by id.
Lists models available to your key (id, display_name, created_at). Use to pick model ids for messages.
Adds stop_sequences JSON array to cut generation at custom delimiters. Returns stop_reason stopped_sequence when hit. Use for template completion; omit stops for open-ended replies.
Same as ANT_CREATE_MESSAGE with stream true for SSE-style deltas. MCP surfaces initial connection behavior; prefer non-stream ANT_CREATE_MESSAGE for full JSON responses in agents.
Downloads file binary as base64 for small files (beta). Truncates very large payloads in text output.
Organization Admin: create API key (body fields depend on Anthropic admin schema). Pass create_body JSON.
Creates a Message Batch from a requests array (each entry: custom_id, params matching /messages). Returns batch id and processing status. Use for high-volume offline inference.
Gets one batch by message_batch_id including processing status and request counts.
Organization Admin: create workspace with JSON body.
Cancels an in-flight message batch.
Organization Admin: update workspace.
Gets file metadata by file_id (beta).
Sets temperature 0 (or near-zero) for deterministic outputs. Use for extraction/classification. For creative text use higher temperature on ANT_CREATE_MESSAGE.
Token count including tools JSON in the request. Use when your prompt includes tool definitions.
Lists message batches with pagination (limit, before_id, after_id). Use after ANT_CREATE_BATCH to monitor workloads.
Fetches usage summary (GET /usage). Path may be account-specific; returns API response or structured error for unsupported keys.
Forces a specific tool name via tool_choice JSON e.g. {"type":"tool","name":"my_tool"}. Use when the workflow must invoke one tool. For normal auto tool routing use ANT_CREATE_MESSAGE_WITH_TOOLS.
Polls ANT_GET_BATCH until processing_status is ended or cancelled, or max_wait_ms. Returns final batch object.
Preset for multimodal user content: pass messages JSON with image blocks (base64 or url per Anthropic docs). Returns standard message response. Use when analyzing images; for text-only use ANT_CREATE_MESSAGE.
Nucleus sampling with top_p and optional top_k. Use to tune diversity vs ANT_CREATE_MESSAGE defaults.
Downloads batch results as JSONL text (one result per line). Use when batch status is ended. For status only use ANT_GET_BATCH.
Organization Admin: lists API keys (requires admin-capable key and correct Console API; path may vary by Anthropic product). Returns list or API error with guidance.
Deletes a file by id (beta).
Messages request with tools JSON and tool_choice auto. Use when the model must call tools in an agent loop. For plain answers without tools use ANT_CREATE_MESSAGE and omit tools.
Organization Admin: delete/revoke API key by id.
Organization Admin: PATCH/POST update for an API key id. Pass update_body JSON.
POST /messages/count_tokens with the same shape as /messages but returns input_tokens only. Use to estimate cost before calling ANT_CREATE_MESSAGE.
Calls POST /messages with full Claude parameters (model, messages, max_tokens, system, temperature, tools, tool_choice, stop_sequences, stream, metadata, top_k, top_p). Returns content blocks and usage. Use as the default Claude completion. For streaming set stream true (response may be partial in MCP). For forced tool use see ANT_CREATE_MESSAGE_TOOL_CHOICE.
Do I need my own developer credentials to use Anthropic MCP with Adopt AI?
No, you can get started immediately using Adopt AI's built-in Anthropic integration. For production use, we recommend configuring your own API keys for greater control and security.
Can I connect Anthropic with other apps through Adopt AI?
Yes! Adopt AI supports multi-app workflows, so your AI agents can seamlessly move data between Anthropic and CRMs, databases, content platforms, and more.
Is Adopt AI secure?
Absolutely. Adopt AI is SOC 2 Type 2 certified and ISO/IEC 27001 compliant, and adheres to EU GDPR, CCPA, and HIPAA standards. All data is encrypted in transit and at rest, ensuring the confidentiality, integrity, and availability of your data. Learn more here.
What happens if the Anthropic API changes?
Adopt AI maintains and updates all integrations automatically, so your agents always work with the latest API versions, no manual maintenance required.
Do I need coding skills to set up the Anthropic integration?
Not at all. Adopt AI's zero-shot API discovery means your agents understand Anthropic's schema on first contact. Setup takes minutes with no code required.
How do I set up custom Anthropic MCP in Adopt AI?
For a step-by-step guide on creating and configuring your own Anthropic API keys with Adopt AI, see here.