"How to Use or Manage Knowledge Base in Feishu" matching MCP servers:

Safety middleware for AI computer use agents that monitors, enforces policies, and provides guardrails to enable safe desktop interaction.

Enables a constrained subagent to perform foreground GUI actions on Hyprland—observing, focusing windows, clicking, typing, scrolling, dragging, and managing the clipboard—under per-action approval with lease, audit log, and kill-switch gating.

Provides a per-person MCP interface to a knowledge graph of legal matters, enforcing OPA-based access barriers and logging every request in a hash-chained audit trail.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

Rate-limits MCP tool calls with Upstash Redis, allowing a configurable number of invocations per sliding window and sharing counters across server instances.

Enables AI agents to automate macOS desktop GUI applications through a policy-governed MCP proxy over Cua Driver, with fail-closed per-app allowlisting, a hardcoded sensitive-app denylist, an emergency kill-switch, masked audit logging, and self-healing app recovery with durable task journaling.

Demonstrates Agent Passport System pre-dispatch authorization by issuing one-use grants and verifying signed authorization envelopes before proxied tool calls reach the upstream server.

Enables an MCP server to enforce External Verifier Contract authorization before proxied tool calls, allowing or denying requests based on a supplied bundle.

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 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.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

Enables agents to ground claims in enterprise knowledge by hashing source chunks, tracing claims back to their origins, validating clearance boundaries, and maintaining audit trails to support anti-hallucination workflows.

Enables local zero-knowledge encryption of a personal vault and sanitization of PII such as credentials, credit cards, and addresses before dispatch to cloud LLMs, with client-side rehydration of masked data.

Autonomously introspects an undocumented SQLite database to expose auto-generated CRUD tools, join-explaining prompts, and schema resources for LLM agents. All queries run through pre-validated parameterized SQL templates, so the model never writes or sees raw SQL, with full audit logging of every operation.

Manages and automatically refreshes Feishu (Lark) app access tokens and user access tokens, enabling secure authentication with Feishu APIs through session-based configuration.

This MCP server autonomously introspects SQLite databases to auto-generate CRUD tools and join prompts, while enforcing zero-knowledge security through pre-validated SQL templates.

Blocks AI coding assistants from installing non-existent packages and accessing non-existent files.

Retired. This MCP wrapper is no longer maintained. Check is now a Claude Code hook: npx @golproductions/check@latest --install. 120 free messages a day. Details: golproductions.com/check

An MCP server demonstrating OAuth 2.1 authentication with Scalekit, enabling per-user identity in MCP tools through JWT verification.