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LangChain osv advisory mcp server osv_query_commit

How to: LangChain osv advisory mcp server osv_query_commit

client:LangChain transport:streamable-http tool:osv_query_commit

Add osv advisory mcp server to LangChain

  1. 01

    Open pip install langchain-mcp-adapters and merge this in. Keep any servers already there.

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "osv-advisory-mcp-server": {
            "transport": "streamable_http",
            "url": "https://osv-advisory.caseyjhand.com/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    Ask for something osv_query_commit does. LangChain lists the server's tools on connect and calls osv_query_commit itself — you do not invoke it by name.

  3. 04

    If nothing happens, check the server is running and that osv advisory mcp server's identifier in your config matches the one above exactly.

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

Set these first

osv advisory mcp server will not start until these are set, so osv_query_commit never becomes available.

  • OSV_REQUEST_TIMEOUT_MS
  • OSV_BATCH_CONCURRENCY
  • OSV_QUERY_MAX_PAGES
  • MCP_LOG_LEVEL
  • OSV_BATCH_SERVE_OVER_CAP

Same tool, other clients

This list was read from the server itself, by connecting to it and calling tools/list on 14 November 2026. It is what the server actually exposes, not what its listing claims.

Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.