tesseron / setup / langgraph
Setup guide
Set up tesseron in LangGraph
communityunknownunknownno verified config · noindex
Expose typed web-app actions to MCP-compatible AI agents over WebSocket. TypeScript SDK + matching MCP gateway.
01Configuration
# tesseron via LangGraph
# transport: unknown
# launch: the server's install method
LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.
02Steps
- Make sure LangGraph is installed and up to date.
- Wire the server into LangGraph using its MCP client API.
- Provide any required API keys/credentials as environment variables.
- Restart LangGraph and confirm tesseron’s tools appear.
03Other runtimes
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-30 01:02Z
sourcesGitHub repo search [p4]
Next step
Ship tesseron to your agents as a governed Loadout — config, scopes, and approval rules in one place.
Build a LoadoutSee also: server page · is it safe? · alternatives