"A guide for reducing token count in AI requests" matching MCP servers:

The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling. This server enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals, price predictions, and advanced analytics.

Enables retrieval and filtering of Indiana Bureau of Motor Vehicles (BMV) locations, including branches, self-service kiosks, and motorcycle training sites.

Open-source MCP server for Google Ads (Meta Ads coming soon) that lets AI assistants manage ad campaigns, reporting, keywords, and targeting in plain English from any MCP client, with safety-first creation of paused campaigns.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Provides live on-chain rug-pull and honeypot risk screening for EVM and Solana tokens, returning computed red flags and raw GoPlus Security data for contract or mint addresses.

Enables following a creator's bio link to detect their newsletter, products sold, and contact emails across supported platforms and link-in-bio pages.

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

MCP server for Winston AI's detection tools, enabling AI content detection, plagiarism checking, image analysis, and text comparison.

A Model Context Protocol (MCP) server that exposes the EasyDeploy public REST API as tools for Claude, Cursor, Claude Code, and other MCP clients.

MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Exposes a personal AI concierge's calendar and send_email tools over MCP, letting AI clients book Calendly meetings and send messages to the owner's inbox.

Enables AI assistants to search, create, and manage knowledge graphs in Aiqbee brains for architecture, portfolio, and digital strategy.

Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.

Enables agents to cryptographically verify JWT HMAC-SHA256 signatures, validate claims and enforce expiration, and perform Merkle inclusion proofs, Schnorr zero-knowledge identification, and nonce replay protection. Runs as a zero-dependency stdio MCP server so clients like Claude Desktop, Cursor, and Windsurf can attest execution state without OpenSSL or external libraries.

A hosted MCP server exposing US hospital chargemaster cost data to AI assistants.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.

Enables agents to search, install, publish, and review security-scanned AI capabilities from the ai-supply.store marketplace, including skills, MCP servers, plugins, datasets, and guardrails.

Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.

Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.