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tentra-mcp

npm version npm downloads CI License: MIT

Memory for AI coding agents. Persistent code graph + AI-generated architecture diagrams — MCP-native. Works in Cursor, Claude Code, Codex, and Windsurf.

Dogfood benchmark on our own monorepo: 99.4% token reduction (156.8× ratio) across 8 "where is X implemented?" queries — 114,644 tokens via file re-read vs 731 tokens via query_symbols. Full write-up →

Quick Start

npx tentra-mcp

On first use, your browser opens for one-click GitHub sign-in. That's it — no API key needed.

Advanced: If you prefer to use an API key directly, run npx tentra-mcp --key YOUR_API_KEY. Get your key at trytentra.com/settings.

What is Tentra?

Tentra is the persistent memory layer for AI coding agents. Describe a system — get a diagram and 14-framework code exports. Index your repo — agents query a structured graph of files, symbols, imports, and call edges instead of re-grepping source every session.

This MCP server gives your AI assistant 32 tools:

Architecture (9 tools)

Tool

Description

create_architecture

Design a new system from a description

update_architecture

Modify an existing architecture

get_architecture

Read architecture details

list_architectures

Browse all saved designs

analyze_codebase

Scan local code and generate diagram

lint_architecture

Quality checks (9 rules: orphans, SPOFs, god services)

sync_architecture

Detect drift between diagram and code

export_architecture

Export to 14 frameworks (Java, Python, Go, Rust, etc.)

create_flow

Create step-by-step flow visualization

Code Graph — Write (4 tools)

Tool

Description

index_code

Walk a repo, Tree-sitter locally, start a semantic indexing job

index_code_continue

Resume an in-progress indexing job

record_semantic_node

Persist an agent-extracted semantic annotation

get_index_job

Check status of an indexing job

Code Graph — Read (10 tools)

Tool

Description

query_symbols

Fuzzy trigram search across indexed symbols

get_symbol_neighbors

BFS traversal in the call/import graph

get_service_code_graph

Subgraph for a canvas service

explain_code_path

Shortest path between two symbols with semantic context

find_similar_code

pgvector cosine ANN over agent-generated embeddings

record_embedding

Persist an agent-generated embedding vector

list_god_nodes

Highest fan-in/out symbols (architectural smells)

get_quality_hotspots

Churn × complexity ranking

list_snapshots

Time-travel listing of indexed snapshots

diff_snapshots

Files / symbols / god-nodes added/removed between snapshots

Enrichment — Contracts, Decisions, Ownership, Domains (9 tools)

Tool

Description

set_service_mapping

Link an indexed file or symbol to a canvas service

set_domain_membership

Assign a service or file to a domain (bounded context)

record_contract

Store a parsed API contract payload (OpenAPI, GraphQL, Protobuf)

bind_contract

Link a contract to the symbol that implements it

record_decision

Create an Architecture Decision Record, optionally linking code

link_decision

Append a link from an ADR to another symbol, file, or service

get_ownership

Resolve the owner (team or person) for a file or service

get_decisions_for

List ADRs linked to a given entity

get_contracts

List contracts, optionally filtered by kind or service

Setup

Option 1: SSE (zero install)

Add to your IDE's MCP config — no local install needed:

Cursor (Settings > Features > MCP > Add Server):

{
  "tentra": {
    "type": "sse",
    "url": "https://trytentra.com/api/mcp?key=YOUR_API_KEY"
  }
}

Claude Code (.mcp.json in project root):

{
  "mcpServers": {
    "tentra": {
      "type": "sse",
      "url": "https://trytentra.com/api/mcp?key=YOUR_API_KEY"
    }
  }
}

Option 2: Local install (needed for codebase scanning)

npx tentra-mcp

Authenticates automatically via GitHub on first use. Credentials are saved to ~/.tentra/credentials.

Cursor config for local server:

{
  "tentra": {
    "command": "npx",
    "args": ["tentra-mcp"]
  }
}

Claude Code (.mcp.json):

{
  "mcpServers": {
    "tentra": {
      "command": "npx",
      "args": ["tentra-mcp"]
    }
  }
}

Usage Examples

Once connected, just talk to your AI:

"Design a payment system with Stripe, Kafka, and PostgreSQL"
→ AI calls create_architecture → diagram at trytentra.com/arch/xxx

"Scan this codebase and generate the architecture"
→ AI calls analyze_codebase → detects services, DBs, queues

"Export this architecture to Java Spring Boot"
→ AI calls export_architecture → downloads zip with project scaffold

"What changed since last time? Is my diagram outdated?"
→ AI calls sync_architecture → drift report with accuracy score

Export Formats

Java (Spring Boot), Node.js (Fastify), Python (FastAPI), Go (chi), Rust (Axum), .NET (ASP.NET), Kotlin (Ktor), PHP (Laravel), Ruby (Rails), Elixir (Phoenix), Docker Compose, Mermaid, ADR, Terraform

Development

This repo contains the open-source MCP server. The Tentra API and web app are a separate hosted service at trytentra.com.

npm install --legacy-peer-deps
npm run build      # tsc --noEmit + esbuild bundle → dist/index.js
npm start          # run the bundled server
npm test           # vitest

The published npm package (tentra-mcp) ships only the bundled dist/ — source is here for auditability and community contributions.

License

MIT

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