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Install in OpenClaw
/install subgraph-registry-mcp
Description
Discover and filter 15,500+ The Graph subgraphs by domain, network, protocol type, or natural language goal with reliability scores and query URLs.
Usage Guidance
This skill appears to be what it says: a pre-built, read-only registry served locally. Before installing, consider the following: 1) The server auto-downloads a registry.db from the skill's GitHub raw URL on first run — if you want to inspect the DB first, clone the repo and review the file or run the server in an isolated/container environment. 2) The package includes Python crawlers that, if you run them, will contact The Graph gateway and can use a GATEWAY_API_KEY from a .env file — only provide credentials if you intend to rebuild/update the registry. 3) The MCP/HTTP server listens on a local port (default 3848) and exposes an SSE endpoint; only enable --http/--http-only if you trust the local network environment. 4) Verify the GitHub repository/release source if provenance matters to you. If you need additional assurance, run the npx command inside a sandbox (container/VM) and/or inspect src/index.js and the downloaded registry.db before allowing remote agents to connect.
Capability Analysis
Type: OpenClaw Skill
Name: subgraph-registry-mcp
Version: 0.3.2
The subgraph-registry-mcp bundle is a legitimate toolset for discovering and classifying subgraphs on The Graph Network. It includes a crawler (crawler.py), a rule-based classification engine (classifier.py), and an MCP server (src/index.js and mcp_server.py) that provides tools for searching and recommending subgraphs based on natural language goals. The server downloads a pre-built SQLite database from the project's GitHub repository (PaulieB14/subgraph-registry) to provide offline search capabilities. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the code logic is transparent and aligns with its stated purpose of facilitating blockchain data discovery.
Capability Assessment
Purpose & Capability
The declared purpose (discover/filter The Graph subgraphs) matches the code and SKILL.md: a Node MCP server serves queries against a pre-built SQLite registry. The repository also includes a Python crawl/classify pipeline for building the registry locally; this is plausible (build vs runtime separation) but worth noting because the runtime (npx) is Node-only while the repo contains heavy Python tooling for rebuilding the DB.
Instruction Scope
SKILL.md's runtime instructions are scoped: it runs a local server, downloads a pre-built registry.db from GitHub on first run, and serves queries locally. Queries themselves operate against the local DB and the skill does not instruct reading unrelated system files or exfiltrating secrets. The optional Python builder will read a .env (GATEWAY_API_KEY) if you run it, but that is clearly documented.
Install Mechanism
No install spec is required for usage beyond 'npx subgraph-registry-mcp'. The MCP server will auto-download a registry.db from a raw GitHub URL on first run — a common but higher-risk pattern than purely local-only operation because it fetches remote content and writes it to disk. The download URL points to the named GitHub repo, which matches the skill homepage; no URL shorteners or unknown personal servers are used.
Credentials
The skill declares no required env vars and the MCP server itself does not need secrets to run. The included Python crawler supports an optional GATEWAY_API_KEY (via .env) for building/updating the DB; that's appropriate for the crawler but not required for read-only MCP operation. The node runtime and the optional Graph API key usage are proportionate to the described functionality.
Persistence & Privilege
always is false and the skill is user-invocable only. It writes a registry.db into its data directory when downloading the pre-built DB and can run an HTTP/SSE server on a configurable local port; both behaviors are expected for a local registry service and do not imply excessive platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install subgraph-registry-mcp - After installation, invoke the skill by name or use
/subgraph-registry-mcp - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.3.2
Add OpenClaw YAML frontmatter for agent discovery and skill gating
v0.3.1
Declare requirements, env vars, and network behavior in SKILL.md to address security scan flags
Metadata
Frequently Asked Questions
What is Subgraph Registry?
Discover and filter 15,500+ The Graph subgraphs by domain, network, protocol type, or natural language goal with reliability scores and query URLs. It is an AI Agent Skill for Claude Code / OpenClaw, with 247 downloads so far.
How do I install Subgraph Registry?
Run "/install subgraph-registry-mcp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Subgraph Registry free?
Yes, Subgraph Registry is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Subgraph Registry support?
Subgraph Registry is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Subgraph Registry?
It is built and maintained by PaulieB14 (@paulieb14); the current version is v0.3.2.
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