"Star Trek" matching MCP servers:

Agent-native travel search. 5 second flights & hotels $50 cheaper. Free forever for the first 1000 Stargazers.

Enables LLM-driven skill selection and parameter filling to trigger real side effects only after an explicit risk-confirmation gate, with argument guardrails, long-term memory, and federation of external MCP servers and A2A agents over hand-written JSON-RPC on Streamable HTTP.

Enables autonomous web agents to prune raw HTML into accessibility-friendly semantic trees with 80%+ token reduction, auto-map form input schemas, convert HTML/Markdown tables into type-inferred JSON records, and score agent execution trajectories. Runs as a zero-dependency, stdlib-only MCP stdio server for Claude Desktop, Cursor, and Windsurf.

This server integrates the OASIS, OpenSERV, and STAR platforms to provide tools for managing digital identities, minting NFTs, and orchestrating AI agent workflows. It also supports smart contract generation across multiple blockchains and direct Solana RPC operations for transaction management.

Enables MCP clients like Claude to interact with any A2A agent as four callable tools, handling multi-turn memory, long-running turns, and separating reasoning from answers.

Enables autonomous agents to snapshot execution-tree and context states, evaluate branch viability, and roll back to previous checkpoints when an exploration path fails without restarting from scratch.

Enables graph pathfinding and network analysis through MCP, including Dijkstra/A* shortest paths, topological dependency resolution, maximum flow, minimum spanning trees, and PageRank centrality for agent planning.

Enables AI coding agents to drive and inspect isolated app instances across web, iOS, and Android, with tools for reading screens, running interactions, and capturing screenshots or evidence.

The GEO check every vibe coder runs before they launch. MCP server that lints, auto-fixes, and tracks how AI agents discover any product. 6 tools — geo_check, geo_fix, geo_track_init, geo_prompts, geo_status, geo_corpus_query.

A Node.js MCP server that loads and manages decision trees from .rtdq files and provides basic to-do list functionality using Redis for storage.

Privacy-first local MCP hub for coordinating multiple AI providers from Claude Code, supporting local Ollama seats and cloud providers with safety routing.

Enables external agents to coordinate structured MIP research and coding workflows, load method cards, templates, and skills, and receive COPT-backed experiment feedback with budgets and verification.

Enables long-running autonomous agents to snapshot environment and context states, evaluate the viability of competing reasoning branches, and roll back to an earlier checkpoint when an exploration path fails without restarting from scratch. Exposes this tree-of-thoughts state management over the Model Context Protocol for use in Claude Desktop, Cursor, and custom agentic frameworks.

Enables users to retrieve Agent Failure-Recovery SLA terms, check agent compliance and credit history, and run adversarial chaos tests against agent infrastructure.

Enables agents to treat Feishu conversations as an operating interface by sending real files, reading conversation context, pausing for human approval, and refreshing progress cards in place through 25 tools, without requiring a public IP.

Provides Claude Desktop with persistent memory across sessions, storing up to 10,000 memories with semantic search and automatic context bridging. Features temporal versioning and anti-degradation protocols to maintain conversation continuity.

Connects an agent to a unified integration layer so it can call tools across apps like Gmail, Google Drive, Slack, and GitHub using scoped, server-resolved credentials the agent never sees. Per-integration permission modes and approval gates intercept reads, writes, and destructive actions, letting users review or block sensitive operations before they execute.

Enables AI agents to discover and invoke kernel tools and capabilities via the Model Context Protocol (MCP), supporting stdio, SSE, and Streamable HTTP transports for bidirectional communication.

Exposes 36 skills covering 137 AI jobs across 7 departments, enabling AI workforce deployment and management through any MCP client.