Tentra

by rdanieli

464 downloads

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AI

About

Tentra gives your AI coding agent memory. The code-graph indexer walks your repository with Tree-sitter locally, extracts symbols and call edges, and stores them in a persistent

Details

Author: rdanieli
Downloads: 464
Categories: Other, AI

- 32 MCP tools across architecture, code graph, and enrichment categories.
- Code graph indexes files, symbols, imports, and call edges once.
- Architecture workspace produces interactive diagrams and production-ready code.
- 99.4% token reduction in benchmarks versus file re-reading.
- Zero API key setup and zero LLM cost on Tentra's infrastructure.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Tentra

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

Connect via SSE by adding a configuration entry to your MCP settings with the URL https://trytentra.com/api/mcp?key=YOUR_API_KEY (get your API key at trytentra.com/settings after GitHub sign-in). Alternatively, run npx -y tentra-mcp for a local stdio setup that authenticates via GitHub on first use.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

Tentra — Memory for AI Coding Agents

Tentra is the persistent memory layer for AI coding agents. Two pillars: 1. Code graph — Index your repo once. Agents query a structured graph of files, symbols, imports, and call edges instead of re-grepping source every session. 2. Architecture workspace — Describe a system in natural language, get an interactive diagram and production-ready code in 14 frameworks. ## Why it saves tokens Dogfood benchmark on the Tentra monorepo: - 99.4% token reduction (156.8× ratio) across 8 "where is X implemented?" queries - 114,644 tokens via file re-read → 731 tokens via graph query - Zero LLM cost on Tentra's infra (agent-as-LLM pattern: your Claude/Cursor/Codex agent does the semantic extraction) - Zero API key setup on your side ## Setup ### Option 1: SSE (zero install) Cursor / Claude Code / Codex / Windsurf — add to your MCP config: \``

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



  Get your API key at https://trytentra.com/settings after a one-click GitHub sign-in.

  ### Option 2: Local (stdio)

  \

bash
  npx -y tentra-mcp
  \



  Authenticates via GitHub on first use. Needed for local codebase scanning.

  ## 32 MCP Tools

  - Architecture (9):

create_architecture, update_architecture, get_architecture, list_architectures, analyze_codebase, lint_architecture, sync_architecture

export_architecture, create_flow


  - Code Graph — Write (4):

index_code, index_code_continue, record_semantic_node, get_index_job


  - Code Graph — Read (10):

query_symbols, get_symbol_neighbors, get_service_code_graph, explain_code_path, find_similar_code, record_embedding, list_god_nodes

get_quality_hotspots, list_snapshots, diff_snapshots


  - Enrichment (9):

set_service_mapping, set_domain_membership, record_contract, bind_contract, record_decision, link_decision, get_ownership, get_decisions_for

get_contracts



  ## Links

  - Website: https://trytentra.com
  - Docs: https://trytentra.com/docs
  - GitHub: https://github.com/rdanieli/archbuilder
  - npm: https://www.npmjs.com/package/tentra-mcp

  ## What agents use it for

  - "Where is auth handled?" →

query_symbols

 → file paths + line ranges in one call
  - "What calls this function?" →

get_symbol_neighbors

 → BFS through the call graph
  - "Why was this service split?" →

get_decisions_for

 → linked ADRs
  - "Who owns this file?" →

get_ownership

 → team / person
  - "Find code similar to this snippet" →

find_similar_code` → pgvector cosine ANN

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Tentra

About

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

McpServers

Tentra — Memory for AI Coding Agents

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Tentra — Memory for AI Coding Agents

Install

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