MCP 聊天应用

## 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`

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**Myriade** is the AI-native data platform for exploring, cataloging, and governing data warehouses. This MCP server exposes Myriade's data analyst capabilities to any compliant client (Claude Desktop, Cursor, VS Code, Copilot, etc.). Once connected, your AI client can: - **Discover** — `list_databases`, `list_tables`, `get_table_schema`, `get_database_info` - **Sample & query** — `sample_data`, `query` (read-only, governance-enforced) - **Browse the catalog** — `search_catalog`, `read_asset`, `update_asset` (descriptions, tags, status) - **Ask the analyst** — `ask` runs Myriade's data analyst agent end-to-end on a natural-language question, returning a synthesized answer with deep links into the Myriade UI for queries, charts, and documents All requests are scoped to the authenticated user's organization, run in read-only mode, and respect Myriade's governance policies (PII masking, table-level ACLs). **Auth:** OAuth 2.1 with Dynamic Client Registration. Sign in once with your Myriade account; tokens are scoped to your org. **Self-host:** Available — see https://github.com/myriade-ai/myriade-private for setup. The hosted version at `app.myriade.ai` is the easiest way to try it.

An interactive MCP App that brings Google Stitch design tools directly into AI assistants like Claude Code, Claude Desktop, and ChatGPT. Browse projects, view screen designs, extract design tokens, and generate new screens — all within your chat interface. Built with the MCP Apps (ext-apps) extension, which renders interactive React UI inside MCP host sandboxed iframes.

Persistent semantic memory for Claude Code, chats AND code. 74+ MCP tools, local pgvector embeddings, codebase indexing with 14 language extractors, multi-agent team coordination. Self-hosted, zero cloud dependency.

Streamlined AI music engine for custom soundtracks, beats, and thematic background scores.

A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports — without needing to understand OPTIX's internal REST API.

Visual Studio Code

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

StationOne is a local-first, model-agnostic AI client and orchestration layer that enables users to build, run, and manage agentic workflows across multiple LLMs and MCP connectors. It provides a unified workspace for integrating AI models, tools, and data sources through the Model Context Protocol (MCP), allowing agents to securely interact with external services like APIs, databases, and SaaS platforms. With support for custom agents, pre-prompt templates, and a curated MCP marketplace, StationOne acts as a central hub for deploying scalable, context-aware AI automation across personal and enterprise environments.

The AI Code Editor

Explorer-first MCP client that renders any MCP server's tools as interactive UI — no LLM required, no tool-calling loop. Point it at any MCP server over stdio or SSE and get cards, tables, charts, forms, pipelines, and dashboards auto-generated from your tool outputs. Install with `npx burnish -- <your-mcp-server>`.

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

Persistent cloud memory for AI coding agents. 14 MCP tools — store, recall, semantic search, knowledge graph. Works with Claude Code, Cursor, Windsurf, OpenClaw. One config file, zero SDK.

Your Odoo, driven by AI. Aidoo exposes your Odoo tools to Claude and ChatGPT through the MCP protocol. The AI understands your request, calls the right tools on your ERP.

Manage your LinkaGoGo bookmarks through any AI assistant that supports the Model Context Protocol (MCP). Search, add, organize, tag, move, and export bookmarks conversationally — 16 tools for full bookmark and folder management. Connect via Claude.ai, Claude Desktop, or any MCP-compatible client.