"Access GEO Biomedical Datasets" matching MCP servers:

An MCP server that provides standardized access to biomedical knowledge bases and resources, enabling AI systems to retrieve verified information from sources like bioRxiv, EuropePMC, and various protein/gene databases.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

Equips AI coding agents with 62 production-grade tools across 28 modules for persistent memory, live GitHub scouting, UI/UX design, DevOps, security, performance auditing, and SEO/AEO/GEO optimization, enabling automated, development workflows.

Growth marketing, SEO and GEO as agent tools: 29 tools for AI answer visibility across ChatGPT, Gemini, Perplexity and Google AI Overviews, a ranked backlog of growth moves, drafted deliverables, and ship actions. Hosted remote server at https://afterlaunch.io/api/mcp.

Enables a self-hosted control room for Codex agents, scheduled tasks, shared skills, and stateless OAuth MCP access.

A production-ready Model Context Protocol server implementation that connects AI assistants to the TON blockchain, allowing them to query wallet balances, transaction details, smart contracts, and other blockchain data.

A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.

Enables AI agents to browse the Lumind service catalogue, check budgets, launch GEO/SEO scans, and retrieve reports with autonomous but capped spending.

Enables entropy-guided motor control for autonomous tool execution in MCP systems, using behavioral entropy dynamics to adaptively gate, throttle, and regulate tool invocations rather than static policies.

Zero Trust Access AI Agent - MCP Server

An MCP server that provides access to Google's Access Context Manager API, enabling management of service perimeters and access levels through natural language.

Enables delegating tasks to a separate, full agentic loop running on a different model, with its own tool access, returning only the final result.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Aggregates and routes multiple MCP servers with intelligent tool recommendation and batch parallel execution, enabling unified access and efficient tool usage.

Turns a coding agent into a language tutor grounded in your LingoChunk listening history, providing tools to access vocabulary, transcripts, audio clips, and create lessons.

Agentic payments on Solana: an agent can pay x402 / HTTP 402 paywalls in USDC, hold a pre-paid balance or a subscription, and buy datasets or settle store checkouts. All 15 tools run behind fail-closed spending caps ($1 per payment, $10 per day by default), and settlement is non-custodial through a program-owned escrow that releases 99% to the creator.

It gives AI agents one tool to access the Omega-API judge, which evaluates conversational turns and returns a decision and gate action (release, clarify, suppress, or none) to guide the agent's response.

A Python code execution sandbox based on IPython and Docker. Stateful code execution, file transfer between host and container, configurable network access.

Hand a human a rich interactive UI by URL from any MCP client and get structured data back: forms, approvals, surveys, pickers, editable lists. Round-trip human-in-the-loop for agents.

Zero-knowledge password manager with MCP credential gateway. BIP-39 seed phrase recovery, deterministic passwords, policy-gated AI agent access with scope, rate limits, time windows, and step-up approval. Supports 70+ API key providers with hash-chain audit trail.