公开目录未提供摘要。
Enables AI assistants to interact with VAST Data clusters for monitoring, listing, and management operations. It provides both read-only and read-write modes for cluster and tenant administration tasks.
Provides on-chain trust verification for AI agents through the Vaultfire Protocol, enabling read-only trust checks and write operations like agent registration and partnership bonds across multiple blockchains.
Embeds an MCP server directly within Obsidian to provide applications with streamlined access to vault operations including file management, fuzzy search, and structured data creation with custom schemas.
MCP server for rendering Mermaid diagrams and generating source-code diagrams, with tools to render text/files and produce dependency/class diagrams.
Vault Tools is a privacy-first MCP server that gives your AI coding agent local file conversion and developer utility tools. Process images (format conversion, compression, resizing, EXIF stripping), manipulate PDFs (merge, split, rotate, page extraction), transform data formats (JSON, CSV, YAML, TOML, Base64, URL encoding), and generate hashes (SHA-256, SHA-512), all on your machine. Files are processed locally and never uploaded to any server or passed into the AI's context window, only file paths and metadata are exchanged.
A FastMCP server for natural language data analysis that allows users to load CSV files, execute Python code with pandas and numpy, and generate matplotlib visualizations. It provides a suite of tools for data exploration, statistical summaries, and querying datasets through MCP-compatible clients.
Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.
A easy-to-use and minimal server implementation for the Model Context Protocol (MCP) in Ruby.
A Python framework for building MCP servers with tools and LLM adapters. Enables developers to create custom tools for Claude Desktop/Cursor and integrate with various LLM providers including Anthropic, OpenAI, Groq, and Ollama.
Slipstream - Built by Vektor Memory - a persistent multi-layered memory architecture. 4-layer associative graph memory (MAGMA) with autonomous REM cycle, CLI, DXT-MCP Cloak Tools.
Enables high-quality AI video generation using Google's Veo 3.1 model for text-to-video, style-guided, and frame-interpolation tasks. It features token-efficient reference image handling, batch processing, and video extension capabilities with built-in cost estimation.
Google Veo AI video generation with text-to-video, image-to-video, multi-image fusion, 1080p upscaling, and multiple quality/speed models.
MCP server for 4K video generation using Google VEO 3.1 — text-to-video, image-to-video, video extension, and frame interpolation.
A template for deploying MCP servers on Vercel with example tools for rolling dice and getting weather data. Provides a foundation for building custom MCP servers with tools, prompts, and resources that can be deployed to Vercel's serverless platform.
Verified memory infrastructure for AI agents. Every assertion signed, timestamped, and cryptographically proven. Includes session continuity across Claude Code, Cursor, and Windsurf, plus Proof Meter billing attestation.
Provides repository-scoped safe memory for AI coding agents with just-in-time verification against file changes to ensure facts remain accurate. It links memories to specific code citations and automatically marks them as stale if the underlying source code is modified or deleted.
Verified memory infrastructure for AI agents. Every assertion signed, timestamped, and cryptographically proven. Includes session continuity across Claude Code, Cursor, and Windsurf, plus Proof Meter billing attestation.
Verify AI agent tool calls with content-addressed, HMAC-attested receipts. Free third-party verification API for AI agents. Call verify_action(claim, evidence) to get an independent integrity check on whether your claimed action matches the actual evidence. Useful for catching silent failures: incorrect SQL operations, file-op mismatches, API call inconsi
Enables RTL simulation and hardware verification with Verilator through automatic testbench generation, natural language queries about simulations, waveform analysis, and protocol-aware testing for Verilog/SystemVerilog designs.

