Retrieve documentation content from specified paths, supporting .md, .mdx, and .mdoc formats, to access detailed references, functions, and explanations within the Tenzir MCP Server environment.
Retrieve a risk assessment scorecard in Markdown or JSON format to evaluate safety concerns and implications of AI forecasting or prediction use cases on the Chronulus MCP Server.
Query the maximum pool points per transaction for ProtoRev on the Osmosis blockchain using this tool, enabling precise transaction planning and optimization.
Generate an MD5 hash from any input text for data integrity checks, password storage, or unique identifier creation with this straightforward hashing tool.
Enables semantic search and retrieval over local Markdown/MDX documentation using Node.js-based embeddings. Supports multi-language documentation with offline vector indexing and MCP tool exposure for AI assistants.
Provides semantic search over ScriptingApp documentation by converting Markdown/MDX files into a LlamaIndex vector store. Supports multi-language indexing and enables natural language queries against technical documentation through MCP tools.
Enables text generation using the Qwen Max language model with configurable parameters and seamless integration with Claude Desktop via the Model Context Protocol (MCP).