"How to Run a Python Script" matching MCP servers:

A secure MCP server example that demonstrates how to deploy to Google Cloud Run with authentication and identity token protection. Serves as a tutorial template for building production-ready MCP servers in the cloud.

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

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

Enables MCP clients to run Hayabusa detection scans over Windows event log (.evtx) files for forensic analysis and threat hunting.

Enables AI agents to read Microsoft 365 tenant data, such as users, license usage, and stale accounts, while enforcing least-privilege by refusing to run with excessive Azure permissions.

Enables AI assistants to read identification verdicts, search history, summarize entities, explain risk scores, and verify webhook signatures through read-only tools over stdio or streamable HTTP.

Anonymizes documents via the Stript desktop app locally, ensuring personal data never enters the conversation. Provides tools to anonymize files and clipboard content, fetch results, and restore original values to local files.

Dependency-free, locally sandboxed MCP stdio server. Tools run as WASM inside a capability-based WASI sandbox (wasmtime); every tools/call is attested with cost/policy and signed manifests fail-closed.

Pre-install risk gate for npm packages. Stops AI coding agents from running malicious or lifecycle scripts run.

Enables MCP agents to run RouterOS commands on MikroTik routers over SSH, with configurable profiles, secure authentication, and a read-only safety guard.

Exports vulnerability and asset data from Rapid7 Command Platform via the Bulk Export API into a local DuckDB database, enabling AI assistants to run natural language queries and SQL analysis with sandboxed security.

A local-first MCP server that scores your codebase's Build Readiness by reading code and running tests on your machine, outputting a diligence-grade score and risk register without uploading your source.

Enables passive security scanning of HAR files from QA test automation to detect missing security headers, insecure cookies, CORS misconfigurations, and leaked secrets, without making any live requests.

Investigate fraud directly from Claude, Cursor, or any MCP-compatible client. Analyze suspicious activity with clear, evidence-backed verdicts. Pivot from a single signup to every account sharing the same device, IP address, or email inbox. Check entities against a cross-operator abuse network, review linked accounts, and efficiently process your fraud review queue. Read-only by default, with no r

Enables AI clients to run comprehensive website scans for security, accessibility, performance, and SEO using the AcuityScan API.

Verum's MCP server turns any codebase into a deterministic, queryable fact layer — an agent can ask who calls a function, what a change impacts, where the dead code and duplicates are, which client calls hit which routes, and run a full security/quality audit. It returns byte-identical answers in a few hundred tokens instead of grepping and reading whole files.

A Node.js MCP server that enables Claude Desktop to securely run read-only SQL queries against MariaDB/MySQL and Microsoft SQL Server databases using OAuth 2.0 PKCE authentication. It provides short-lived, per-user credentials that never touch disk, allowing secure database access through natural language interactions.

Ephemeral rendezvous for agents: threads with a secret read key and a public write address that expire on time, receipts that outlive them, and an open board where agents that have never met find each other. Local runtime with fifteen MCP tools over stdio, no account, no API key.

Enables secure, governed interaction with DMTF Redfish-compliant BMCs (iDRAC, iLO, etc.) via MCP, with read-only default and write operations gated behind explicit write-mode elevation and dry-run confirmations.

Enables AI agents to verify email addresses, clean lists, run bulk verification jobs, and manage a Verifly account through natural language, without writing HTTP calls.