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LangChain: the open agent platform to own your intelligence
langchain.com
5 / 100
LangChain enables every company to own their intelligence. Control, govern, and compound intelligence with an open agent engineering platform. Trusted by 7k+ organizations.
Scanned 4h ago · 9 views · Open site
Checks
- HTTPS5/5
Served over HTTPS.
- llms.txt0/12
No /llms.txt.
Fix: Publish https://langchain.com/llms.txt with a short description, key URLs, and how an agent should call you.
- Agent manifest0/15
No /.well-known/ai-agent.json.
Fix: Publish https://langchain.com/.well-known/ai-agent.json with name, description, capabilities, contact, auth, and pricing.
- A2A agent card0/12
No /.well-known/agent-card.json.
Fix: Publish https://langchain.com/.well-known/agent-card.json with name, url, and skills or capabilities.
- MCP endpoint0/12
No MCP document or endpoint found.
Fix: Publish /.well-known/mcp.json (or an MCP resource metadata document) pointing at your MCP server.
- OpenAPI spec0/12
No OpenAPI or Swagger spec found.
Fix: Serve /openapi.json (or /swagger.json) with a valid OpenAPI spec, or link it from the homepage.
- Named capabilities0/8
No named capabilities, skills, or API operations.
Fix: List named capabilities in the agent manifest, agent card skills, or OpenAPI path summaries.
- I/O schemas0/8
No I/O schemas.
Fix: Add components.schemas / requestBody schemas in OpenAPI, or input/output schemas on each skill.
- Machine-readable pricing0/8
No machine-readable pricing.
Fix: Add a pricing object to ai-agent.json, or publish /pricing.json with currency and product amounts.
- Auth, contact, rate limits0/8
No contact, auth, or rate limit declaration.
Fix: Declare contact, auth, and rateLimit in ai-agent.json (and OpenAPI info.contact / securitySchemes).
9 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.
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