MCP server for agent reputation staking — trust through skin-in-the-game. Agents deposit stakes as trust collateral, with slashing for bad behavior and reputation building over time.
Enables AI agents to rate each other, track interaction outcomes, and compute trust scores, with features like submitting ratings, getting reputation profiles, leaderboards, and trust computation.
Local document intelligence for AI agents — extract text, detect tables, read metadata, analyze structure, search keywords, and detect language from PDF and DOCX files. No cloud API required, no API key needed.
Enables GDPR privacy compliance and DSAR management, including creating, tracking, and updating Data Subject Access Requests, checking GDPR compliance, and maintaining a data processing inventory through MCP tools.
Stores and retrieves key-value memories with metadata and namespaces for AI agents. Enables persistent, searchable memory across sessions using the Model Context Protocol.