"Pine Script v6 Python integration or comparison" matching MCP servers:

Enables static analysis of scripts without executing them, providing plain-English behavior explanations, decoded obfuscated content, IOC extraction, risk scoring, and MITRE ATT&CK mapping.

Exposes enterprise tools to third-party AI agents through a single guard that authorizes each call against default-deny, purpose-scoped entitlements, executes it, and writes a hash-chained, tamper-evident decision trace the firm owns. It also verifies signed vendor webhooks and enforces a strict versioned contract, so agent activity stays scoped, auditable, and portable across vendors.

Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.

Enables deployment and connection to a minimal Streamable HTTP MCP server with bearer-token authentication, a health endpoint, and an example tool, while allowing developers to add custom tools.

Enables ZenTao user administration, including token retrieval, user queries, and user creation/update/delete, over stdio or Streamable HTTP transports.

Provides Copilot Studio with six tools for secure workspace file operations and one-time execution of pre-approved Python jobs in isolated, network-less Docker containers, with strict access controls and audit logging.

An MCP server that provides deepfake detection capabilities, allowing clients to analyze images for authenticity via Proofly's API.

Enables AI assistants to perform autonomous binary analysis, malware inspection, firmware analysis, and reverse engineering workflows through a production-ready Python MCP server connected to the ImHex hex editor.

Enables users to deploy a minimal Model Context Protocol server on Render, connect MCP clients with bearer-token authentication, and add custom tools callable through the MCP endpoint.

Enables developers to run and deploy a custom remote MCP server on Azure Functions that exposes MCP tools, resources, and prompts—such as snippet CRUD, QR code generation, code review checklists, and interactive app UIs—with built-in Microsoft Entra authentication. Supports local debugging and one-command cloud deployment, with optional API Management and VNET network isolation.

Enables developers to build, run locally, and deploy to the cloud a custom MCP server on Azure Functions that exposes tools, resources, prompts, and an interactive weather app over HTTP. Includes built-in authentication via Microsoft Entra, plus options for API Management and VNET network isolation.

Enables developers to build, run locally with debugging, and deploy to the cloud custom remote MCP endpoints hosted on Azure Functions, with built-in Microsoft Entra authentication. Sample projects demonstrate snippet CRUD and QR code tools, resource templates, prompt workflows, and an interactive weather demo UI.

Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.

Enables interaction with CCTV recording systems (VMS) to retrieve live and recorded video streams, control cameras with PTZ presets, and manage playback dialogs for specific channels and timestamps.

A security-hardened, read-only MCP server that authenticates service and user identities, enforces factory-level access grants, and audit-logs every tool call before dispatching read-only plant overview queries.

A hybrid MCP server system that enables natural language management of Asana tasks, projects, and portfolios with enhanced security controls. It features a specialized guard server to provide audit logging and two-step confirmation for destructive actions like deletions.

Counterparty risk scoring for agentic commerce. Scores wallets, domains, IPs, and companies 0-100 before AI agents transact via x402 micropayments on Base

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.

Free email for AI agents with hardware attestation, real SMTP/IMAP/JMAP, and real-time notifications.

Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge.

Enables enterprise AI agents to discover and invoke MCP tools, resources, and prompts across GitHub, ITSM, and business systems through a policy-controlled gateway with human approval and auditability.

Project Point One Percent - Agent Pay \[pop-pay] is a payment guardrail and one-time flow protocol specifically designed for Agentic AI (e.g., Claude Code, OpenClaw). It enables agents to handle financial transactions safely without risking unlimited exposure of human-controlled credit cards.

Exposes the Value Context Protocol SDK to MCP clients, enabling users to parse and validate VCP/I tokens, CSM1 codes, and VCP-Lite documents, encode the 18 VCP/A context dimensions, and map constitution principles to Schwartz values. Runs purely local over stdio or stateless HTTP with no network calls or stored state.

Enables an MCP server with OAuth authentication, protecting tools like user CRUD operations behind session tokens obtained through a browser-based authentication flow.

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

Provides 8 financial-grade KYC identity verification tools for AI agents, including face comparison, liveness detection, document OCR, and risk media labeling.

Enables AI coding agents to audit Python and npm dependency licenses against your distribution context before shipping, returning CLEAN, REVIEW, or BLOCK verdicts with plain-language reasons and supporting notice generation.

Enables AI agents to run private computations on encrypted data using fully homomorphic encryption, supporting operations such as addition, mean, comparison, concatenation, and scientific functions without exposing plaintext inputs.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Checks a code repository without running it: Safe, Works and Complete scores with an A-F grade, catching leaked keys, dangerous calls, invented or lookalike packages, broken imports and missing project files. Standard-library Python; MCP tools scan, orphans and explain.