"Finding tasks for large language model agents" matching MCP servers:

Enables AI agents to discover each other and communicate through cryptographically verified messaging and secure inbox management via the Agents Registry. It provides tools for Ed25519-based identity authentication, message signing, and agent discovery across domains.

Secure MCP server that enforces allowlist-based policies, read-only access, input validation, and human-in-the-loop for sensitive actions, enabling safe vulnerability analysis.

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

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

ModelSafetyMCP is an MCP server for scanning machine learning model artifacts for unsafe serialization, malicious model patterns, risky packaging, URL-based artifact scanning, and directory-level triage.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Validates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.

Enables agents to use secrets without exposing them, by injecting values into commands and redacting them from all outputs and transcripts.

Turn Claude into an ISO 27001 compliance assistant - controls, risk register, policies, evidence tracking, SoA generation, and full audit workflows in one local encrypted MCP server.

Enables agents to browse the web anonymously over Tor, host hidden onion services, communicate through encrypted groups, and discover peers without exposing their identity or infrastructure.

Fast PDF tools for AI agents: 31 tools in one Rust binary. CLI, MCP server and library.

Input/output safety gate for AI agents: detect prompt-injection/jailbreak, leaked secrets/PII, and URL/IP reputation. Deterministic, no LLM.

767-2676.com provides tools to hash task schedule bytes and verify signed time and digest receipts for deadline, cancellation, expiry, and handoff checks. Try the free offline sample at https://767-2676.com/schedule/example; fresh signed witnesses cost $0.001 USDC and require payment authorization.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

Manage a fleet of OPNsense firewalls from an AI agent, inside guardrails it can't drive around. MCP server for central management of OPNsense firewall fleets. 129 tools across devices, config sync, tasks, schedules, templates, backups and remote consoles - destructive actions confirmation-gated, MCP-issued tokens lifetime-bounded, backup and storage secrets excluded from the toolset entirely.

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.

Persistent identities, email, saved accounts and scoped credentials for AI agents. Remote Streamable HTTP or local stdio, with permission and revocation checks. Password and TOTP outputs are withheld remotely unless explicitly enabled. Requires ActAs Pro (US$12/month or US$120/year). Setup: https://actas.dev/docs?utm_source=glama&utm_medium=directory&utm_campaign=launch

Enables secure one-time encrypted file and note sharing by encrypting data locally before upload and providing tools for sending, listing, checking, and revoking links.

Provides real-time content safety protection for large language models by detecting and preventing risks in both input and output content across multiple dimensions including compliance, ethics, and security.