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Context intelligence for Agentic Development — MCP server + setup CLI

Project description

Talon

Context intelligence for Agentic Development — graph-based code context for AI coding agents.

Supported Languages

Language Extensions Parser Features
Python .py Classes, decorators, raise/except, async
TypeScript .ts, .tsx Classes, interfaces, arrow functions, ES imports
JavaScript .js, .jsx, .mjs, .cjs Arrow functions, ES imports/exports, method chains, error paths
Go .go Structs, receiver methods, interfaces, panic/recover
Java .java Annotations, constructors, throws, inheritance, enums
Rust .rs Structs, traits, impl blocks, enums, panic!/? error paths
C# .cs Classes, interfaces, attributes, constructors, throw/catch
Kotlin .kt, .kts Data/sealed classes, companion objects, suspend functions
Ruby .rb Classes, modules, include/extend, singleton methods, rescue
PHP .php Classes, interfaces, traits, enums, namespace imports

All languages get full-depth parsing: classes/structs, functions/methods, imports, call edges, error flow edges, method chain resolution, and cross-module call edges.

Install

pip install talon

Quick start

# Authenticate with cogmeta.ai (opens browser, no copy/paste)
talon-setup auth login

# Generate .mcp.json for your project
talon-setup init --cloud

Then restart Claude Code — Talon is active.

After your first run

Once you've dispatched a job, your trust dashboard surfaces every piece of data Cogmeta holds about you — self-serve, no support ticket required:

For machine-readable GDPR Art 15 export: POST /cloud/v1/dispatch/user/data/export returns the bundle inline. Schema is published at app.cogmeta.ai/dispatch/export-bundle/v1.0/ — pin schema_version and DPO automation evolves additively.

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