"An introduction to programming in Golang" matching MCP servers:

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 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.

An MCP authorization server implementing OAuth2/OIDC flows, supporting dynamic client registration, PKCE, consent screens, and client ID metadata documents for MCP authorization.

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

Enables autonomous agents and MCP-compatible clients to enforce policy-approved actions using risk tiers, reversible checkpoints, and token approval bounds.

MCP server for ai-scanner that enables AI agents to scan codebases for LLM usage, AI frameworks, and exposed secrets.

Enables Claude to list Iceberg tables and run read-only DuckDB SQL queries, including time travel by snapshot, with per-caller token authentication and audit logging.

Authentik MCP provides seamless integration with Authentik's API, supporting both full-featured and diagnostic modes. These enable secure, automated user, group, and system management through MCP-compatible tools.

An MCP server that provides authorization middleware for AI agents using private data, enabling consent management on Aleo and local private inference with persistent policy storage.

Enables agents to detect and redact PII and secrets in text, HTML, and PDF documents before they reach an LLM, with reversible placeholder, mask, or hash redaction, and to list supported detectors and redaction styles.

Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.

Lets an agent verify VSL settlement receipts entirely offline and produce signed triggers authorizing a settlement, with the signing key and endpoint fixed at start-up rather than passed in tool calls. When started with an endpoint and token, it can also request a receipt from an issuer, which is the only tool that touches the network.

Enables an AI assistant to read and control your real, logged-in Safari browser tabs, with a local model gating every write action for safety.

Enables an AI assistant to read Interactive Brokers account and market data and to prepare order drafts that the user approves inside IBKR, while blocking any order submission to live markets. An opt-in paper-trading mode additionally allows simulated orders to paper accounts only, with per-order confirmation and logging.

Registers a set of inert, tempting decoy tools with any MCP-capable client so that any call from a hijacked or prompt-injected agent instantly raises an alert with full attack context and a per-call trace token. Also plants worthless canary tokens in honeypot files that trigger zero-false-positive leak alerts when they surface in agent output, files, or outbound requests.

Hand a secret to another agent as an encrypted, pay-per-read token delivered exactly once, leaving no copy behind. Also pre-flights an x402 endpoint before your agent pays it. Runs locally over stdio and encrypts in your own process, so there is no hosted version to hand your plaintext to.

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

Enumerates everything in a code checkout addressed to an AI agent, including instruction files, hook commands, declared MCP servers, and skills/subagents, so you can review what your agent will actually follow.

A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.

An MCP server that provides comprehensive data verification in China, including identity, business, vehicle, OCR, and risk assessment services.

An MCP server that exposes 43 domain tools behind 4 meta-tools, applying guardrails such as budgets, rate limits, schema validation, human-in-the-loop confirmation for mutations, PII redaction, and an append-only audit log while reducing context window usage.

Enables an AI assistant to list, search, and read email over IMAP without marking messages as read, and to create and revise reply drafts that you review before sending. It runs with least privilege, keeping the app password in an OS keychain or password store and never sending, deleting, or moving anything.

Open source input firewall for AI agents, in beta, packaged as an MCP server. A local scanner checks text, code, PDFs, images, QR codes, audio and video against a pattern library and reports findings and incomplete scans.

Enables read-only access to Interbanking (Argentina) banking data from an agent, letting users ask in natural language for account lists, current and historical balances, and account movements with credit/debit totals. It never exposes any operation that moves money.

Identity infrastructure for the agent economy. Mint an agent ~handle in two free calls with no human account, then verify anyone and read inferred traits under the consent the person set in advance.

A man-in-the-middle MCP proxy that sits between Claude and an internal API, automatically masking sensitive banking data before returning to Claude.

An in-memory security MCP server for AI agents and coding copilots that prevents sensitive tool parameters and API keys from leaking into LLM context windows. Isolates execution arguments in local RAM using ephemeral cryptographic commitments and deterministic memory zeroization.

An MCP server that lets Claude query a mock business SQL database in plain language through read-only tools, with server-side guardrails that enforce SELECT-only queries and block access to sensitive payment data.

An MCP server for autonomous AI agents to scan and detect hardcoded secrets, API keys, and passwords in source code files.

Keeps bug-hunting AI agents within an authorized scope by checking every target against declarative allow/deny rules, refusing out-of-scope findings, and scrubbing secrets from evidence. It also computes CVSS v3.1 base scores and records findings in an append-only ledger.