"Telegram MCP Server by DLHellMe" matching MCP servers:

Enables MCP-capable agents to gate their actions behind human consent, checking consent rules and requesting approval via Telegram before proceeding with high-stakes operations.

Local credential broker for AI agents: they call HTTP APIs, SSH, SFTP and databases through allow-listed presets while secrets stay in the OS keychain. Per-preset approval (desktop, terminal or Telegram) and an append-only audit log.

Spam classification MCP server for AI agents that classifies messages as SPAM, SUSPICIOUS, or SAFE based on real Telegram moderation data and multi-layer detection.

Mandatory human approval gate for autonomous AI agents. Before any critical, irreversible, or financially significant action executes — file deletion, production deployment, financial transaction — the agent calls oracle_validate. A human receives a real-time Telegram notification with full context and taps Approve or Reject. The agent waits for the decision before proceeding.

Human approval for AI agents: request_human_approval pauses a high-stakes action until a named person approves or rejects (console, email, Telegram, Slack); silence is not consent. Every decision is sealed in a hash-chained audit log. EU-hosted.

An MCP server that acts as an AI assumption firewall, intercepting risky decisions, detecting contradictions, and routing human approval requests via Telegram or Slack.

Bee by HEOSSI exposes 16 MCP tools for specialist chat, code and security analysis, research, provenance, account usage, tenant-scoped documents and memory, quantum job workflows, and computer-host validation. API calls require a Bee API key and follow plan entitlements and metering.

Order limits, human approval (terminal or Telegram), a kill switch and a hash-chained audit log in front of any broker or exchange MCP server. Verified profiles for Alpaca MCP and CCXT MCP.

Enables deterministic what-if analysis of exposure remediation by simulating bounded interventions against a sealed baseline graph, then ranking scenarios by weighted risk, reachable attack surface, and cost while marking Pareto-efficient options.

A Python MCP server for SonarQube, enabling AI agents to query projects, issues, quality gates, coverage, and security hotspots.

An MCP server providing AI-powered cybersecurity, penetration testing, reconnaissance, vulnerability assessment, and security automation tools through the Model Context Protocol.

Enables AI assistants to access real-time threat intelligence, malware sample metadata, and security analysis tools via integration with MalwareBazaar, VirusTotal, and Telegram.

Enables secure Bitwarden organization vault control with AI agents, featuring human-in-the-loop approval, ACID-compliant transactions, and redacted access to keep secrets hidden from LLMs.

MCP server for Intelation Nexis. It lets Claude, Cursor, VS Code and other assistants detect and remove names, emails, phone numbers, NHS and SSN numbers from text. Methods include redact, replace, mask, hash, pseudonymize, tokenize and encrypt. Tools: anonymize_text, detect_pii, list_countries, plus an optional decrypt_text that is off by default. Needs a free API key from nexis.intelation.com.

Enables querying the Sigstore Rekor public transparency log to retrieve entries by index or UUID, search by artifact hash or email, and inspect signing certificates and inclusion proofs.

Enables AI agents to be governed by formal Gentzen sequent calculus proof trees, with human-in-the-loop approval gates and cryptographic audit trails for consequential actions.

MCP server that enables AI-powered assessment of Active Directory on-premises environments by exposing AD data as queryable tools for LLMs like Claude.

Enables autonomous AI agents to operate safely by intercepting risky tool calls, evaluating them against policy, and suspending them for human approval via Slack, Telegram, or a web dashboard.

Credential Manager - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables human-led defensive cyber investigations by letting agents and people share visible case state, review synthetic evidence metadata, prioritize explainable signals, draft findings that require human approval, and generate incident summaries.