"Agent Creation and Orchestration" matching MCP servers:

PII detection agent

Screens AI agent tool calls before execution and tool results before the agent reads them, acting as an MCP proxy and hooks adapter with shadow, enforce, and strict policy modes.

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.

Agent trust & data safety MCP: PII/secret redaction, email validation, sanctions screening, and OSV vulnerability checks for AI agents.

An MCP server that lets an agent verify a skill, tool, or package before it installs it.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output

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.

Provides prompt injection detection, PII/secrets redaction, and an audit trail for AI agents via MCP tools.

Provides tools to issue, verify, and export cryptographically signed receipts for AI agent actions, enabling tamper-proof audit trails for compliance with regulations like the EU AI Act.

Enables AI agents to read and send email, handle attachments and manage calendar invitations through their own IMAP/SMTP mailboxes, with per-mailbox sender and recipient allow lists and automatic HTML-to-Markdown conversion. It runs as a single self-hosted Docker container, exposing the same tools over MCP and REST.

A Model Context Protocol server for Conan package manager integration, enabling dependency management, project creation, and security scanning via natural language.

Compare service-grant changes, tool alias origins, and saved MCP tool definitions with Gooo rules. Reports preserve incomplete-capture uncertainty and source bindings. No grants are applied and no compared tools are invoked.

Enables AI apps to inspect and manage a NextDNS account in plain language — profiles, analytics, query logs, blocklists, security and parental control settings — with every change saved and reversible via undo. It runs self-hosted on your own computer or server, keeps per-profile read/write/hidden permissions, and requires double confirmation for deletions or overwrites.

Registers a set of inert, tempting decoy tools with any MCP-capable client so that any call from a hijacked or prompt-injected agent instantly raises an alert with full attack context and a per-call trace token. Also plants worthless canary tokens in honeypot files that trigger zero-false-positive leak alerts when they surface in agent output, files, or outbound requests.

Enables AI agents to access authenticated websites by reusing your existing browser profile and cookies, so you never share passwords and sessions persist between runs.

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

Enables AI agents to call deterministic finance and quant APIs (e.g., DCF, Black-Scholes, bond pricing) with per-call payments over x402, no API keys required.

A minimal, dependency-free MCP server that gives AI agents three real, read-only security-orchestration tools: cve_lookup, shodan_host_lookup, and nuclei_scan.

Let AI agents act for a person on websites, with the person's approval on their phone. The agent's browser runs in a sandboxed vault it cannot read into; when a site asks for a password, CAPTCHA or 2FA, the owner takes over from their phone.

Reputation scoring for AI agent wallets on Base. 9 tools for trust scores, fraud checks, blacklist lookups, leaderboard, badge generation, and agent registration with x402 payment verification.

Enables LLM agents to discover and invoke guarded web search, read-only SQLite queries, and sandboxed file read/write tools over the Model Context Protocol. It adds schema validation, rate limiting, output sanitization, request-ID logging, and Prometheus metrics at the protocol boundary.

Enables MCP clients to call an OFAC funds transfer authorization tool that returns a structured verdict, permitting transfers only if a version-pinned SDN screen returned CLEAR and COMPLETED before execution.

An MCP server that lets an AI agent look up a RealHandles identity and cryptographically verify its signed proof.

Enables Model Context Protocol agents to triage suspicious messages locally with explainable verdicts, signals, playbooks, and intelligence, while also supporting URL checks, entity extraction, and tamper-evident case creation.

Local static inspection of MCP and AI-agent tool manifests before attachment, reporting findings and missing evidence without executing proposed tools. Results do not establish runtime safety.

Issues, verifies, and exchanges portable cryptographic compliance passports for AI agents, enabling offline verification of regulatory compliance across 11 frameworks.

Compliance and guardrails infrastructure for AI agents, enabling safe operations within regulatory boundaries like GDPR and EU AI Act.

MCP server for AWS Payment Cryptography that gives AI coding assistants direct access to the APC control plane and data plane, with embedded knowledge of payment standards, HSM vendor command sets, and PCI PIN v3.1 compliance requirements.

Cryptographic accountability for AI agents. Ed25519-signed receipts for every MCP tool call. Constraints, chains, AI judgment, invoicing, and local dashboard included.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.