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Use IBM Granite pay-per-call for chat, code, embeddings, analysis, and forecasting.
This MCP tool appears to provide standard networked, paid AI access and requires multiple sensitive credentials. No concrete high-risk red flags are evident from the materials, but missing documentation, an undeclared license, and low community adoption warrant a cautionary posture.
It requires several sensitive environment variables, including WATSONX_API_KEY, project/space identifiers, model configuration, and x402/USDC payment-related addresses plus Solana fee-payer settings. Leakage could enable misuse of IBM watsonx access, billing abuse, or payment-related impact.
No fixed remote host is listed, but the presence of WATSONX_URL and X402_FACILITATOR_URL indicates outbound requests to user-configured IBM watsonx services and x402-related services. User prompts and request content are likely transmitted to those endpoints.
The system flags that this tool executes code/spawns processes, which is a standard MCP capability. The provided materials do not show requests for unusual system privileges or explicit arbitrary shell control, so this should be treated as normal execution capability with caution.
The current description does not claim local file, database, or broader system resource access, and no obvious overbroad authorization request is shown. The confirmed data surface is mainly environment-based configuration and content sent to remote model services.
It comes from an official registry, has an open-source repository, and was updated within the last year, all of which are positive signals. However, the missing README, undeclared license, and zero-star adoption limit audit context and maturity evidence, so supply-chain confidence remains moderate rather than strong.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "IBM Granite via x402" MCP server from askskill: Run: claude mcp add 'io-github-nirholas-ibm-x402-mcp' -- npx -y @three-ws/ibm-x402-mcp
Use IBM Granite to write a Python script that reads CSV sales data, aggregates revenue by month, and points out error handling and performance optimization considerations.
A runnable Python script plus debugging, error-handling, and optimization suggestions.
Use IBM Granite to generate embeddings for these 20 product descriptions and explain how to store them in a vector database for semantic search.
An embedding generation result overview and implementation steps for vector storage and semantic retrieval.
Use IBM Granite to analyze weekly order data from the past two years, forecast order volume for the next 12 weeks, and summarize key trends and risk factors.
Forecast results, trend interpretation, and notes on risks that may affect prediction accuracy.
Track trending agents, coins, holder rankings, and site-wide activity updates.
Use DashScope to access Qwen chat, embeddings, and model discovery.
Chat, generate text, create embeddings, and tokenize with IBM watsonx.ai Granite.
Embed interactive live 3D avatars in agents or generate shareable embeds.
Equip AI agents with an x402 wallet to buy or sell services.
Create 3D avatars, embeds, and manage agent memory and on-chain identity.
Access 1000+ pay-per-call web tools for search, browsing, PDFs, and memory.
Call 8,000+ APIs pay-per-use with no API keys required.
Pay-per-call gateway for AI agents to enrich, read web, and scan repos.
Access Lightning-paid AI tools for permissionless automation and agent communication.
Access pay-per-call MCP tools for telemetry, on-chain checks, and live data.
Access pay-per-call AI and web tools for audits, extraction, and request analysis.