Langchain Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Langchain Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Note: langchain now has a more official implementation [langchain-mcp-adapters](https://github.com/langchain-ai/langchain-mcp-adapters)
Model Context Protocol tool calling support in LangChain.
Create a langchain_mcp.MCPToolkit with an mcp.ClientSession, then await toolkit.initialize() and toolkit.get_tools() to get the list of langchain_core.tools.BaseTools.
Example:
https://github.com/rectalogic/langchain-mcp/blob/8fa8445a24755bf91789f52718c32361ed916f46/tests/demo.py#L34-L43
You can run the demo against Groq llama-3.1-8b-instant:
$ export GROQ_API_KEY=xxx
$ uv run tests/demo.py "Read and summarize the file ./LICENSE"
Secure MCP Filesystem Server running on stdio
Allowed directories: [ '/users/aw/projects/rectalogic/langchain-mcp' ]
The file ./LICENSE is a MIT License agreement. It states that the software is provided "as is" without warranty and that the authors and copyright holders are not liable for any claims, damages, or other liability arising from the software or its use.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.