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Access Claude for messaging, token counting, and batch processing via Anthropic API.
The material is sparse, but the stated functionality involves accessing Claude models via the Anthropic API, which typically means prompts and related data are sent to a third-party model service. The project is open source and no local secrets/endpoints are explicitly listed, so it is closer to caution overall, but missing documentation, low adoption, and unclear authentication wording reduce transparency around supply chain and data egress.
The material says there are no required keys/environment variables, yet it claims to operate via the Anthropic API, which normally requires some form of authentication; the 'Type 3 DAuth authentication' wording is uncommon and the README is missing, so credential sourcing, storage, and rotation are not transparent and should be verified.
The description explicitly says it accesses the Anthropic API for message creation, token counting, and batch processing, so user input and related context will likely be sent to Anthropic services. The specific host is not listed, which reduces transparency, but there is no evidence of unrelated or obviously suspicious endpoints.
The system flags it as executes-code, indicating the MCP tool can execute code locally or spawn processes; this is a common capability for such tools, and the provided material does not show requests for system privileges beyond its stated function.
The material does not specify which files, directories, or local resources it can read or write, so the data access boundary is unclear. Given its model-calling function, it should at least be assumed to process user-submitted data; however, there is no evidence that it requests broad local data access unrelated to its purpose.
Positive signals include being open source under the MIT license, which allows code review; however, it comes from a third-party registry, the GitHub repo has 0 stars, maintenance status is unknown, and the README is missing, so community validation and maintenance signals are weak and the source/dependencies should be reviewed before installation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "anthropic-mcp" yet — see the docs or source repo.
Use anthropic-mcp to call Claude and generate a professional, concise reply for this user message: "We plan to launch a new feature next week. Please draft a notification email for customers."
A customer-facing notification email or reply generated by Claude.
Use anthropic-mcp to count the approximate tokens for this prompt and tell me whether it is suitable to send directly to Claude: "You are a senior product manager. Based on the following meeting notes, organize requirement priorities and suggest a roadmap..."
An estimated token count plus guidance on whether the content should be shortened.
Use anthropic-mcp to batch process the following 20 product reviews, summarize each review in one sentence, and return the results in a consistent format.
Structured batch results with one summary for each input review.
Query Anthropic usage and spend data in plain language.
Chat with AI models via Anthropic API with retrieval and command prompts.
Use Cohere models for chat, embeddings, reranking, classification, and summarization.
Upgrade Anthropic SDKs, migrate versions, and fix dependency or typing issues.
Wrap Claude Code CLI as MCP tools for headless coding sessions and automation.
Query Claude Code usage and costs with natural-language spend analysis insights.