Chain.Love MCP
About
Hosted MCP gateway that enables AI agents to discover and compare Web3 infra services (RPCs, indexing, oracles, storage, compute, dev tools, and more) across 20+ networks via a single endpoint
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- Author
- Unknown
- Categories
- Cloud Service, Other, Finance, API, Infrastructure
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For the complete documentation index, seellms.txt. Markdown versions of documentation pages are available by appending.mdto page URLs; this page is available asMarkdown.
Welcome to the Chain.Love's MCP Module
{% hint style="success" %} The detailed landing page is available here:https://chain.love/mcp-gateway{% endhint %}
- Web3 data aggregation in one place: instead of stitching together chain lists, RPC providers, explorers, oracles, ramps, and service docs from different websites, an agent gets one gateway backed by Chain.Love's Web3 dataset. The current registry snapshot covers55supported chains, and that dataset keeps growing every day.
- Access to many MCP servers through one public endpoint: clients such as VS Code, Antigravity, and other AI tools often impose practical limits on how many MCP servers you can keep connected at once. By connecting Chain.Love MCP once, your agent gets access to a large catalog of registry-listed MCP servers through a single gateway connection. You can browse the open-source list here:mcpservers.csv.
- Public hosted MCP servers: because the hosted gateway is currently public, Chain.Love can proxy your agent directly to public hosted MCP servers without additional approval flows or setup.
- Private hosted MCP servers: for private hosted MCP servers or credentialed downstream integrations such as GitHub, add the required credential header to your agent configuration and Chain.Love will be able to proxy requests to that MCP through the same gateway.
- Self-hosted MCP servers: if the tool is self-hosted, Chain.Love can help the agent understand how it should be deployed in the local workspace so the agent can call it directly.
Below is the high-level product surface before you move into setup and runtime details.
Usediscover_networksto get the current canonical chain keys supported by Chain.Love. The current snapshot includes55networks, includingethereum,base,arbitrum,optimism,filecoin,solana,bitcoin,sui, and more, and the registry keeps expanding over time. {% endstep %}
Usediscover_categoriesandsearchto browse categories such asapis,explorers,ramps,oracles,bridges,wallets,security, andmcpservers. This is the fastest way to find RPCs, block explorers, hosted tools, and other Web3 services without hardcoding provider names. {% endstep %}
Useexecuteto connect to downstream MCP servers, inspect their tools, and call them through the same Chain.Love gateway session. For example, an agent can connect a GitHub MCP, list the available tools, and run the exact action it needs without adding a separate MCP endpoint to the client. {% endstep %} {% endstepper %}
Use the pages below as the practical next steps after the overview.
Set up the hosted endpoint, add optional tokens or downstream credentials when needed, and test the connection. {% endstep %}
Understand whatdiscover_networks,discover_categories,search, andexecuteare used for. {% endstep %} {% endstepper %}
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with theaskquery parameter, and the optionalgoalquery parameter:
GET https://chain-love.gitbook.io/mcp-module/readme.md?ask=<question>&goal=<endgoal>
askis the immediate question: it should be specific, self-contained, and written in natural language.goalis optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
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