Use IBM Granite via x402 for chat, coding, embeddings, and forecasting.
The available material is limited, but the MCP tool is from an official registry, open-source, and recently maintained, with no clear high-risk red flags observed. The main considerations are its connection to the remote endpoint three.ws and its code-execution capability, so it is best used with least privilege and controlled network access.
The material states that no keys or environment variables are required, and there is no indication that the tool requests API keys, account passwords, or other highly sensitive credentials. The description mentions pay-per-use and USDC, but it does not state that the tool directly stores or reads users' wallet private keys.
It is known to access the remote endpoint three.ws; given its stated functions—remote AI chat, code, embeddings, and forecasting—user prompts or related request data will likely be sent to that service. The current material does not disclose more detailed data flows, retention policies, or third-party sharing.
System checks indicate that the tool has code-execution capability, which means it at least runs a local MCP process and handles tool invocations. This is a standard capability for this class of tool; the available material does not show requests for additional system privileges disproportionate to its stated purpose.
The material does not clearly state which local files, directories, or system resources it can read or write, so the data-access boundary is not fully transparent. Given that it is an executable MCP tool, it should be treated with least privilege by default, but there is currently no evidence of excessive data access beyond its stated scope.
The source is an official registry entry, with an open-source repository and updates within the last year, all of which are clear risk-reducing factors; no high-risk supply-chain red flags are evident. However, community adoption is very low (0 stars) and no license is declared, so auditability and reuse conditions still require further verification.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "IBM Granite x402 Remote" MCP server from askskill: Run: claude mcp add --transport http 'io-github-nirholas-ibm-x402-mcp-remote' 'https://three.ws/api/ibm-mcp'
Using IBM Granite x402 Remote, write a Python script that reads a CSV, cleans missing values, and outputs summary statistics, then explain each step.
A runnable Python script with step-by-step explanation and debugging suggestions.
Using IBM Granite x402 Remote, generate embeddings for these 20 product descriptions and explain how to store them in a vector database for semantic search.
An explanation of embedding outputs plus guidance for vector database storage and semantic retrieval.
Using IBM Granite x402 Remote, forecast the next three months from my last 12 months of sales data and identify the key factors that may affect the forecast.
A forecast of future trends, key influencing factors, and a brief decision-oriented analysis.
Turn text or images into rigged, animation-ready 3D models fast.
Discover and compare paid agent services and pricing on x402.
Securely manage agent payment sessions with budgets, allowlists, and per-transaction caps.
Use DashScope to access Qwen chat, embeddings, and model discovery.
Render 3D agent avatars with voice, Solana wallet, and token features.
Embed interactive live 3D avatars in agents or generate shareable embeds.
Use IBM Granite pay-per-call for chat, code, embeddings, analysis, and forecasting.
Chat, generate text, create embeddings, and tokenize with IBM watsonx.ai Granite.
Access 1000+ pay-per-call web tools for search, browsing, PDFs, and memory.
Pay-per-call gateway for AI agents to enrich, read web, and scan repos.
Call 8,000+ APIs pay-per-use with no API keys required.
Access paid Solana APIs for crypto safety, market data, and KYB/AML checks.