Witsy

## Overview ### what is Chain.Love MCP? Chain.Love MCP is a hosted remote MCP server and gateway for AI agents. It provides a single endpoint for discovering and comparing Web3 infrastructure services across 50+ blockchain networks, including RPCs, indexing, oracles, storage, compute, and developer tools. ### how to use Chain.Love MCP? To use Chain.Love MCP, add the hosted endpoint to your MCP client and connect to `https://app.chain.love/mcp` over Streamable HTTP. For public use cases, the basic MCP server URL is enough. For private downstream MCPs, add credentials only when required using `x-chainlove-cred-<credentialKey>` headers. ### key features of Chain.Love MCP? - Hosted remote MCP gateway for AI agents - Single endpoint for Web3 infrastructure discovery across 50+ blockchain networks - Aggregates infrastructure options across RPCs, indexing, oracles, storage, compute, and developer tools - Streamable HTTP transport - Public documentation and onboarding resources available online ### use cases of Chain.Love MCP? - Discovering and comparing Web3 infrastructure providers across many blockchain networks - Finding RPC, indexing, oracle, storage, compute, and developer tooling options through one MCP server - Giving AI agents a single hosted integration surface for Web3 infrastructure discovery - Reducing the need to integrate many separate provider-specific endpoints ### FAQ from Chain.Love MCP? - Can Chain.Love MCP be used as a hosted remote MCP server? Yes. Chain.Love MCP is designed to be consumed as a hosted remote MCP endpoint at `https://app.chain.love/mcp`. - Does Chain.Love MCP require credentials? Not always. Some downstream integrations may require credentials, which can be passed using `x-chainlove-cred-<credentialKey>` headers when needed. - How do I know which credential header to use? You can check the open-source Chain.Love registry at `https://github.com/Chain-Love/chain-love/blob/main/references/offers/mcpservers.csv` or browse `https://app.chain.love/toolbox/mcpservers` and look for the relevant `credentialKey` value. - Where can I learn more? Landing page: `https://www.chain.love/mcp-gateway` Documentation: `https://chain-love.gitbook.io/mcp-module`

Call MCP Server Tools Online

ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).

devops-mcp lets AI assistants (Claude Desktop, Cursor, Windsurf) connect, scan, plan, and deploy on real Linux servers — without handing the model the keys to the kingdom. Reading is always allowed; anything that changes state on a production-like server is refused unless the user pastes a secret elevation token the model never sees. Three modes (SAFE / PROVISION / FULL) with auto-expiry, a production write-gate that demands backup confirmation for irrecoverable ops, shell-quoted arguments, prompt-injection-tagged output, and a full JSON-lines audit log. 32 tools, TypeScript, MIT.

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

The new purpose-built IDE to harness magic

The second fastest AI chatbot™

Private, free, open-source local AI chat and MCP host. Run 1000+ LLMs on your device, connect any MCP server (STDIO, HTTP, SSE) and use tools with local or cloud models - no cloud API required

A Tiny Terminal Chat App for AI Models with MCP Client Support

Overreach catches AI-agent scope creep. You give it the prompt you gave your coding agent and the diff it produced; it flags every part of the diff the prompt didn't authorize — unauthorized dependencies, env vars, endpoints, cron jobs, files, and features. Every finding is deterministic set arithmetic (actual − authorized), not a probabilistic opinion. Ships a GitHub Action that fails PRs on scope_creep_score=HIGH. MIT, free to use.

SEO research tools for AI agents: keyword research and metrics, SERP and local SERP results, domain and backlink analysis, rank tracking, and Google Search Console performance.

Voyei is a collaborative travel-planning app (Brazil-first, PT-BR). Its native MCP server lets you connect your own AI client — Claude, ChatGPT, Cursor or any MCP-compatible client — and have it read and edit your trips in real time, using your AI plan (Voyei never charges per token nor trains on your data). The AI can create and edit trips (days auto-generated), add and schedule places, manage reservations (hotels, restaurants, tours, events) and transport (flights, trains, cars, cruises), build budgets with expense-splitting, assemble packing lists, collaborate (shared notes, polls, messages, to-dos), update your travel Atlas and journey log, and search places & weather. Exposes 78 tools and 15 read resources, with granular OAuth scopes (read/write per area).

Local MCP server exposing iGPSport cycling data to LLM clients. Computes training metrics (NP/IF/TSS/CTL/ATL/TSB) server-side, supports 17 tools including activity analysis, segment leaderboards, workout generation, and threshold estimation.

Lutra is the first MCP compatible client built for everyone

The Google Ads MCP server for Claude and ChatGPT. Connect Google Ads to the AI you already use. Ask it to audit search terms, check pacing, compare CPA, and prepare changes you can review before anything touches the account.

A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.

Enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests

MCP Peek is a local-first desktop app to inspect, run, and proxy MCP servers. Connect any server over stdio or HTTP/SSE, browse its full catalog of tools, resources, and prompts with token-cost estimates, run tools through auto-generated forms, and capture live request/response traffic with the built-in proxy.

Package-first framework for building branded MCP packages that install across agent CLI hosts and expose local-first token telemetry.

Explyt is an IDE-native AI agent for JetBrains IDEs. It helps developers code, test, debug, refactor, review changes, and fix issues with real IDE context, including project structure, symbol navigation, run configurations, debugger state, inspections, and coverage data. Explyt supports MCP and AGENTS.md for portable AI workflows, making JetBrains IDEs available as a powerful context and tools layer for AI-assisted software development.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

Claude Fable 5: Anthropic's first public Mythos-class model, explained

Premium AI image suite offering advanced fine-tuning and professional editing tools.