"Information about Meta (Facebook's parent company)" matching MCP servers:

Secure, local-first collaboration layer for AI agent teams, enabling authenticated agent-to-agent communication, shared memory with provenance, and scoped service execution through MCP.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

Enables an MCP server to gate tools/call requests by requiring a per-send channel-policy attestation for outbound actions, checking ROPE-lite origin tags on sensitive arguments, and returning SEP-2643-shaped structured denials with retry handles and remediation hints when a call is blocked. It logs client-asserted audit context (such as turnId and userIntent) for correlation across allowed and denied calls, but never uses that receipt for allow/deny decisions.

Enables LLMs to access cited company documents and perform permission-gated operational actions (HR, IT access, vendor extraction, renewal) with explicit scope, evidence checks, and durable human approval gates.

Provides Copilot Studio with six tools for secure workspace file operations and one-time execution of pre-approved Python jobs in isolated, network-less Docker containers, with strict access controls and audit logging.

Enables removal of AI provenance metadata and invisible watermarks from images, and injection of realistic camera EXIF profiles to make them appear as authentic photography.

Deterministic <1µs in-band execution governance gateway and W3C DID security guardrail for AI Agent MCP tool calls.

Detects financial fraud and AI agent transaction risks using machine learning, behavioral biometrics, network graph analysis, and agent-to-agent protection.

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

An MCP server that exposes 43 domain tools behind 4 meta-tools, applying guardrails such as budgets, rate limits, schema validation, human-in-the-loop confirmation for mutations, PII redaction, and an append-only audit log while reducing context window usage.

Machine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

Connects Claude Desktop to the Paylocity API to manage employee records, pay statements, and company headcount data through natural language. It includes automated data protection that redacts sensitive information like SSNs and bank account numbers before reaching the model.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Enables secure role-based querying of company documents across different departments (Engineering, Finance, HR, Marketing) with access control that restricts data visibility based on user roles. Provides retrieval-augmented generation with source citations and metadata for trusted corporate knowledge access.