"How to interact with Notion" matching MCP servers:

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.

Enables MCP clients to access Notion through a permission-checking proxy that restricts operations to a configured root page and its subtree, while blocking unauthorized tools. It also handles Notion OAuth and validates signed permission settings.

Routes web requests from AI tools through Tor for anonymized fetching, with selective per-URL routing to bypass Tor-blocking sites.

Enables AI agents to interact with the npm registry, covering package intel, dist-tags, trusted publisher configuration, access and team governance, tokens, security advisories, and publishing, with read-only tools by default.

Lets AI agents check whether an EVM wallet address carries an EIP-7702 delegation across eight chains (Ethereum, Base, BNB Chain, Arbitrum, OP, Polygon, Gnosis, Unichain) and learn how to obtain a deeper paid report with delegate bytecode heuristics and risk levels. Read-only, never touching private keys or seed phrases.

Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.

An MCP server that enables AI agents to securely interact with PostgreSQL databases with least-privilege scopes, PII masking, and human approval for writes.

Enables AI agents to interact with the Ceveto business management API through MCP, with permission-filtered tools and secure Ed25519 authentication.

Runs a regular expression on real engines — JavaScript (V8), Python (CPython re), PCRE2 and RE2 — reporting each engine's own compile errors with positions, every match with its groups and named groups, replacement results, and where the engines disagree. It also detects catastrophic backtracking (ReDoS), naming the at-risk part of the pattern, generating an attack string, and timing how long each engine actually takes on it.

An MCP server that enables AI assistants to interact with Tenzir, a data pipeline engine for security operations, including executing pipeline queries, managing OCSF schemas, and generating parsers.

Local-first MCP proxy with BM25 tool discovery, quarantine security, Docker isolation, OAuth support, activity logging, and web UI. Routes multiple upstream MCP servers through a single endpoint.

Enables AI agents to securely interact with Tailscale tailnets for device inventory, ACL review, key hygiene, and more, with token-efficient output and write-gated mutations.

Allows AI clients to securely interact with Telegram accounts through scoped endpoints, with encrypted session storage and per-tool permission checks.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Enables AI assistants to raise, submit, approve, amend, and cancel purchase orders and onboard suppliers in ERPNext or SAP S/4HANA while enforcing procurement controls such as duplicate detection, budget limits, split-purchase checks, price tolerances, and segregation of duties.

Enables AI agents to safely interact with local files by enforcing policies that allow, block, or require approval for actions, while protecting credentials and maintaining a tamper-proof audit log.

A secure email gateway MCP server that protects AI agents from prompt injection attacks by scanning emails for malicious instructions before they reach the agent.

Checks how long ago a package version was published and returns the newest version older than a minimum age (3 days by default), so an agent avoids brand new releases when adding dependencies. Also checks lockfiles across 15 ecosystems; read-only.

A demonstration server that reveals security risks by accessing sensitive environment variables, illustrating how MCP tools can potentially leak user data without explicit consent.

Enables security-focused LLM agents like GPT-4.1 and Claude 3 to interact with the urlDNA threat intelligence platform, providing tools for URL scanning, threat detection, and malicious content analysis.

MCP server that provides role-based access control for Outline workspaces, allowing users to interact with docs, users, and admin tools according to their assigned role.

Enables MCP-compatible AI assistants to interact with Rapid7 InsightConnect automation, allowing them to list and inspect workflows and jobs, read global artifacts, export snippets, and, with explicit write permissions and user confirmation, execute workflows or cancel jobs.

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 AI assistants to interact with Rhombus physical security systems, providing access to smart cameras, access control, IoT sensors, and alarm monitoring through the Rhombus API.

Enables AI assistants to interact with Qualys security data via 7 workflow tools for vulnerability management, cloud security, containers, compliance, and remediation.

Enables AI coding agents to plan, policy-check, and cost-estimate Terraform changes while requiring human approval through Slack or CLI before any terraform apply can execute.

Enables AI agents to interact with IBM QRadar SIEM, including querying and updating offenses, running AQL searches, managing threat intelligence reference sets, and checking console connectivity.

Enables Claude to interact with Okta's user management system, providing capabilities to retrieve user details, list users with filtering options, and manage user groups.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.

Enables AI assistants to interact with Rapid7 InsightIDR SIEM for investigating incidents, searching logs with LEQL, managing alerts and assets, analyzing user behavior, and handling threat intelligence.