Set up Vera in LangGraph

communityunknownunknownno verified config · noindex

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

01Configuration

# Vera 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 Vera’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose VS Code OpenAI Agents SDK CrewAI

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-29 07:55Z

sourcesGitHub repo search [p4]

Next step

Ship Vera to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives