"Discover" matching MCP servers:

Enables Claude and other MCP clients to discover and call Hitachi VSP 360 1.4 REST API operations, with search-based lookup, optional direct tools, automatic OAuth2 authentication, pagination, downloads, uploads, and read-only safety defaults.

Enables AI agents to assess AWS environments against the AWS Security Reference Architecture (SRA) by providing tools to discover, describe, and run security checks across AWS services and accounts.

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.

Enables AI agents to inspect OIDC4VCI credential offers, discover issuer metadata, and orchestrate non-sensitive issuance protocol flows while keeping wallet-bound operations secure.

A local-first AWS security tool that uses graph theory to discover attack paths (e.g., Internet → Role → DB) and prioritize remediations. It allows agents to perform read-only security audits and generate Terraform fixes without data exfiltration.

Enables technicians to discover, audit, and configure MikroTik RouterOS routers over SSH, with dry-run change plans, automatic rollback, and local handling of credentials and keys.

Enables analysis of normalized scan findings as immune signals to discover co-occurring fleet threat patterns, synthesize non-executing defensive recipes, recall successful outcomes, and plan adjacent-cohort targeting via MCP tools.

A local stdio MCP server that enables coding agents to discover credential handles and create scoped action requests with local approval and sanitized output.

Enables agents to discover and route tasks to public MCP tools, check live reliability, find working alternatives, audit server agent-readiness, and scan tool definitions for poisoning.

Enables AI agents to discover and call existing OpenAPI services through governed tools, enforcing policy, approval for destructive operations, and credential handling before requests execute.

Enables AI agents to discover governed capabilities, inspect machine-readable contracts, and request policy-checked procurements with signed receipts and audit trails.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Enables coding environments to discover and inspect GitHub-hosted agent skills and sub-agent definitions, review provenance, policy findings, and dry-run plans, and access read-only configuration analysis while installation approval remains in the local CLI.

Enables enterprise AI agents to discover and invoke MCP tools, resources, and prompts across GitHub, ITSM, and business systems through a policy-controlled gateway with human approval and auditability.

Enables AI assistants to discover, configure, harden, and troubleshoot multi-brand home and homelab networks through MCP, backed by declarative Terraform/OpenTofu orchestration. Includes safety guardrails, drift detection, snapshots, rollback, and zero-trust device controls.

Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.

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 authenticated users and service accounts to discover and invoke tools from a wrapped third-party stdio MCP server behind a secure gateway, using per-profile credentials, role/default routing, and managed child instances.

Enables agents to access multiple upstream Model Context Protocol servers through a single endpoint with API-key authentication, scoped access, rate limiting, guardrails, and audit logging. Tools are namespaced by upstream so clients can discover and call them via one tools/list and tools/call surface.

Enables AI agents and LLM clients to autonomously run deep username and email OSINT scans across thousands of platforms, recursively pivoting on exposed handles, profile links, and secondary addresses while enriching results with rich profile metadata. It also exposes a dynamic catalog so agents can discover available modules and categories before scoping targeted scans.