Leandrogavidia Vechain MCP Server is listed as active in the registry but did not answer our last check. Last commit 4 Oct 2025.
Search VeChain documentation, query on-chain data, and fetch fee suggestions with direct links to…
No commits for 13 months.
We read the source, 4 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
ENV AGENT_SECRET_KEY=0x00000000000000000000000000000000000000000000000000000000000000
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.
claude mcp add leandrogavidia-vechain-mcp-server --transport http https://server.smithery.ai/@leandrogavidia/vechain-mcp-server/mcp
https://server.smithery.ai/@leandrogavidia/vechain-mcp-server/mcp
[mcp_servers.leandrogavidia-vechain-mcp-server]
url = "https://server.smithery.ai/@leandrogavidia/vechain-mcp-server/mcp"
{
"mcpServers": {
"leandrogavidia-vechain-mcp-server": {
"url": "https://server.smithery.ai/@leandrogavidia/vechain-mcp-server/mcp"
}
}
}
{
"servers": {
"leandrogavidia-vechain-mcp-server": {
"type": "http",
"url": "https://server.smithery.ai/@leandrogavidia/vechain-mcp-server/mcp"
}
}
}
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://server.smithery.ai/@leandrogavidia/vechain-mcp-server/mcp | streamable-http | answering | 387 ms | 7 min ago |
Search and query HackTricks pentesting documentation with quick lookup and section extraction
Work with your Medusa Cloud projects' data and APIs, and search the Medusa documentation.
UK planning application data for AI agents: search, geo-query and fetch applications.
Find publisher documentation via llms.txt, with source links, evidence and check dates.
Offline MCP server for local Qt 4.8, Qt 5, and Qt 6 documentation with full-text search.
Access and search Branch's official API documentation directly within any AI agent or client.
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Search, read, and get recommendations for AWS documentation pages.
Answers built from our own checks of this server.