"Improving React Native Development Experience" matching MCP servers:

An open experience layer for conversational AI - routes user intent into safe, consented, stateful experiences.

Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

SSWP MCP — Deterministic software attestation for AI-augmented development. Witness any repo through a 5-gate pipeline, adversarially probe dependencies, and produce self-verifying .sswp.json attestations. Fleet registry across 131 nodes with tamper-proof audit ledger and FTS5 search. Agent-native — one tool call from Hermes, Claude, or Cline.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

An MCP server that exposes macOS-native device trust signals — the facts about a Mac that cannot be gathered from a Linux container or a cloud runner. All tools are strictly read-only.

Enables AI agents to verify trust scores, search certified capabilities, compare side-by-side, and submit experience reports through Fidensa's certification authority.

Enables MCP hosts to recall verified compliant tool-call arguments before acting and calibrate calls against live policy as native tools, with locally signed requests.

Health check for React Native and Expo apps. One command, no install, no account.

Encrypted token store for Claude Code sessions, providing MCP tools for secure secret management with macOS Keychain integration, per-project allowlists, and native dialog input.

Protects AI agents from prompt injection and destructive actions while enabling self-improving prompts through a security pipeline.

Enables AI agents to securely read and write SAP ABAP development objects via the ADT REST API, enforcing policy-based guardrails such as package/namespace allow-lists, read-only mode, human approvals, and audit logging.

Enables AI assistants to audit and clean development workspaces safely by detecting reclaimable artifacts, exposed .env files, and potential secret leaks.

The server can be utilized for secure development by listing all packages' CVEs, their affected versions and their fix versions.

Universal governance layer for AI agents — MCP-native, fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and rollback for any agent in any framework.

A Model Context Protocol server that provides SD Elements API integration, enabling LLMs to interact with SD Elements security development lifecycle platform.

Enables orchestrating secure software development pipelines with domain-specific compliance (HIPAA, PCI-DSS, etc.), generating pseudocode, threat models, and CI/CD from user stories via natural language.

Provides AI-native fraud scoring, risk intelligence, and compliance tools for AI agents processing payments across multiple rails.

Provides SDLC compliance verification as tools that AI agents can invoke, continuously monitoring and evaluating development processes.

Enables agents to perform Schnorr zero-knowledge identification and cryptographic attestation through a native MCP interface, including commitment-challenge-response proofs, JWT validation, Merkle inclusion checks, and replay protection.

Provides AI coding agents with direct access to secrets management (get, set, list, delete secrets, and list environments) through the Model Context Protocol, enabling secure secret operations during development.

Provides deterministic local development tools over stdio MCP, including repository mapping, code review, secret and dependency scanning, release checks, whitelisted checks, scaffolding, and workflow state tracking.

Enables agents to perform local, deterministic, read-only inspection of native binaries, compare binaries, and retrieve or list verifiable evidence records.

The official WhoisXML API MCP server: 35 first-party tools for WHOIS, DNS, IP geolocation, threat intel, typosquatting, email verification, and native bulk — in Claude, Cursor, VS Code, or any MCP client.

Enables AI agents to securely read, write, and list files and run shell commands inside dashboard-whitelisted sandbox directories. It provides API-key authentication, firewall controls, and preinstalled development tools for connecting MCP-compatible clients.

Enables deterministic request screening and, after native owner approval, fixed-target DeadBolt enforcement actions such as kill, deny, revoke, and evidence retrieval through local stdio MCP. Model analysis can advise but cannot approve actions.

MCP server for agent-native secrets management that stores encrypted secrets with AES-256-GCM, issues short-lived scoped tokens, and injects secrets into requests server-side so agents never handle plaintext credentials.

Bridges Tufin SecureTrack and SecureChange APIs with AI development workflows, providing a secure REST API with RBAC for ticketing, device management, and topology queries.

Enables security scanning of code projects to identify common vulnerabilities like XSS, injections, SSRF, and path traversal issues. Provides local, offline scanning with severity-grouped results and actionable fix suggestions for improving code security.