"Translation service or tool" matching MCP servers:

Enables enterprise-managed authorization for MCP on Azure App Service, with deployable Entra OAuth and a local EMA ID-JAG lab exposing whoami and authorization_model tools.

A hardened MCP server that enforces authentication via Easy Auth and OAuth, manages secrets with Key Vault, and restricts network access using VNet integration and API Management, enabling secure tool invocations through a fully private infrastructure.

Governed MCP server for bank-grade agent tool access with RBAC, PII redaction, rate limiting, and audit logging.

An MCP server that enables interaction with Xero's Identity Service API, providing OAuth 2 authentication and identity management capabilities through natural language commands.

Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.

A thin MCP server that wraps provenance-receipts and quality-gate services as tools, enabling AI agents to certify content origin and score quality via Ed25519-signed receipts.

This MCP server preserves a Bearer principal on every tool call and SSE frame, rotates vaulted credentials in place, and enforces per-tool allowlists for agents.

Scan any project or website for privacy compliance issues directly in your AI coding tool. Detects tracking tech, cookies, and third-party data collection. Works in Claude Code, Cursor, and Windsurf.

Enables local spend caps and Ed25519-signed provenance receipts for AI agent tool calls, allowing any MCP host to gate model usage and independently verify signed decisions without sending prompts or content.

Enables MCP-speaking agents to execute tool calls through an authorization gate, producing signed decision records and reconciled effect rows for accountability.

Static security linter for MCP servers. Scans tool definitions for vulnerabilities (path traversal, SQL injection, SSRF), scores description quality, and auto-rewrites descriptions for safer agent tool selection.

Secure credential management for AI agents — encrypted storage, auto-refresh, and rate limiting via a single MCP call. Supports OpenAI, Anthropic, Stripe, GitHub, Brave Search, Kalshi, Coinbase, plus generic API key and OAuth2 for any service.

SSWP MCP — Deterministic software attestation for AI-augmented development. Witness any repo through a 5-gate pipeline, adversarially probe dependencies, and produce self-verifying .sswp.json attestations. Fleet registry across 131 nodes with tamper-proof audit ledger and FTS5 search. Agent-native — one tool call from Hermes, Claude, or Cline.

Anonymize PII and redact text for GDPR using real NLP, not just regex. Czech-first, built on ÚFAL/LINDAT (MasKIT + NameTag NER) with 80+ PII patterns. Also multilingual NER across 35+ languages, morphology (UDPipe), machine translation, and spellcheck. 6 tools. Non-commercial use only. Install: pip install anonymize-mcp

Provides MCP tools for Sytadel identity and access management, enabling user listing, service account management, session anomaly queries, policy generation, and access reviews.

Verifies agent actions against mandates via a single tool, returning allow, deny, or requires_approval receipts without executing the actions.

Reputation and trust scoring service for AI agents, exposed as an MCP server. Evaluate counterparties, report interactions, issue portable trust certificates, and detect Sybil attacks.

Provides advisory AI-governance checks for MCP hosts and coding agents, enabling policy verdicts, PII masking, and audit traces before executing tool calls.

A reliability & security proxy for the Model Context Protocol (MCP) that provides self-healing connections, runtime tool-security, and compliance-mapped audit trails.

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.