"How to improve memory or retention like GPT models" matching MCP servers:

Persistent encrypted memory for AI agents. E2E encrypted private vaults, shared knowledge commons, topic channels, and agent-to-agent DMs. 23 MCP tools, free, no API key needed.

Enables AI assistants to keep and retrieve private context locally, with verifiable receipts and optional Solana anchoring for public proofs.

Private MCP server that enables a single GitHub identity to run Codex Security CLI scans on registered repositories, with OAuth authentication and a web-based cockpit UI.

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.

Guardrails for AI coding agents that enforces rules via compliance receipts, blocking destructive actions and syncing rules across all AI tools.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Enables MCP-compatible AI agents to save encrypted, DID-signed session checkpoints and resume the latest state across sessions, while keeping secrets and credentials in a local vault.

AI-powered memory dump analysis using Volatility 3 for digital forensics investigations. Enables process analysis, malware detection, network forensics, timeline generation, and anomaly detection with support for Claude, Llama, and other LLMs.

Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.

Enables AI agents to query and record SOC analyst reasoning via a knowledge graph, allowing access to institutional memory from Splunk.

Enables secure, human-approved AI memory from Gmail messages for Claude, with provenance, risk inspection, expiry, and revocation controls.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

MCP server that enables AI agents to check if email addresses or domains are disposable using the isitdisposable.com API. It provides tools like check_email, check_domain, and check_batch for real-time validation.

Enables agents to validate data safety before storing, transmitting, or logging data, preventing GDPR/HIPAA/PCI-DSS violations with clear verdicts like SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE.

An MCP server that checks SPF, DKIM, DMARC, and MX records for a domain, returning a health verdict and specific DNS fixes to improve email deliverability.

Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.

An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.

Inspects documents for tampering, ineffective redactions, and text aimed at language models before they enter an agent's context, and compares documents to confirm whether they are unchanged.

Enables users to scan MCP servers for security threats, check installed servers, and analyze config files for risks, all from AI assistants like Claude, Cursor, or Windsurf.

A read-only MCP server for comparing environment configuration files, detecting drifts like added, removed, or secret-changed entries, while masking secrets and restricting file access to allowed directories.