"An overview of knowledge graphs and their applications" matching MCP servers:

Supply chain risk scoring for npm, PyPI, and GitHub repos

Enables agents to prove and verify that a real, unique human performed an action, issuing machine-readable signed credentials with public verification.

Provides a per-person MCP interface to a knowledge graph of legal matters, enforcing OPA-based access barriers and logging every request in a hash-chained audit trail.

Enables agents to perform Schnorr zero-knowledge identification and cryptographic attestation through a native MCP interface, including commitment-challenge-response proofs, JWT validation, Merkle inclusion checks, and replay protection.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

Enables agents to ground claims in enterprise knowledge by hashing source chunks, tracing claims back to their origins, validating clearance boundaries, and maintaining audit trails to support anti-hallucination workflows.

Enables local zero-knowledge encryption of a personal vault and sanitization of PII such as credentials, credit cards, and addresses before dispatch to cloud LLMs, with client-side rehydration of masked data.

Autonomously introspects an undocumented SQLite database to expose auto-generated CRUD tools, join-explaining prompts, and schema resources for LLM agents. All queries run through pre-validated parameterized SQL templates, so the model never writes or sees raw SQL, with full audit logging of every operation.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

This MCP server autonomously introspects SQLite databases to auto-generate CRUD tools and join prompts, while enforcing zero-knowledge security through pre-validated SQL templates.

Enables reversible anonymization of SSNs, credit cards, passport numbers, emails, and phone numbers in prompts before sending them to external LLMs, and restores original tokens from completions using local HMAC isolation.

Enables AI agents to securely reach enterprise tools and other agents through a governed gateway with pinned tool definitions, delegated authorization, content inspection, human approval, and signed audit trails.

Enables reversible anonymization of sensitive PII such as SSNs, credit cards, passport numbers, emails, and phone numbers before sending prompts to external LLMs, then restores original values locally using HMAC isolation.

Enables MCP clients to exchange an MCP-audience token for a Microsoft Graph token and call Graph as the signed-in user, with tools for identity verification and recent mail access.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Enables agents to encrypt and sanitize sensitive data such as credentials, credit card numbers, and addresses locally before dispatching prompts to cloud LLMs, then rehydrate the masked values client-side. It runs deterministically with zero external dependencies over MCP JSON-RPC stdio, so no plaintext PII leaves the user's machine.

An MCP server that provides authorization middleware for AI agents using private data, enabling consent management on Aleo and local private inference with persistent policy storage.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Enables generating secure passwords, exposing password policies, and providing reusable prompt templates for secure password creation through MCP primitives.