mcpField
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OrgGen AI

OrgGen AI

Remote
orggen.aiProductivity0Updated 6d ago

About OrgGen AI

OrgGen AI is a hosted MCP service for coordinating projects between people and AI agents. People set priorities and resolve decisions while agents work from shared tasks, diagrams, and documents.

Key features

  1. 01Create, claim, and update project tasks
  2. 02Raise decisions with options and recommendations
  3. 03Maintain project diagrams on a shared canvas
  4. 04Attach rich documents to project blocks
  5. 05Retrieve guidance for diagram types

Use cases

  1. 01Coordinate agent work around prioritized tasks
  2. 02Request a human decision with a suggested option
  3. 03Keep architecture and data-model diagrams current

MCP support

OrgGen AI exposes a hosted Streamable HTTP MCP server. Authorized clients can read and modify the projects of the connected account, using OAuth 2.0 or an API key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.orggen.ai/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://www.orggen.ai/api/mcpAuth required

Tools

Details

From the project README

OrgGen AI — MCP server

OrgGen is the human-agent interface for your projects. You set priorities and settle decisions; your AI agents work from the same board without waiting on you: they pull the next ready task, can raise a decision with a recommendation instead of stopping to ask, and keep the project diagrams (architecture, data model, process, user journeys, org charts, cap tables) up to date. Standard HTTP MCP server. The free plan includes MCP with an account.

This repository is documentation only. OrgGen is a hosted service: the MCP server runs at the endpoint below and its source code is not published here. This page describes what the server does, how to connect to it and how to use it.

What agents can do with it

An agent connected to OrgGen reads and edits the projects of the account that authorized it:

  • Diagrams on a shared canvas: organization charts, cap tables, data models (entities, fields, relations), architecture, process flows and user journeys.
  • Tasks and decisions: create, claim and update tasks; raise a decision with options and a recommendation, and read the answer later.
  • Documents: rich documents attached to blocks of a project.
  • Project knowledge: the server explains how to use it. It sends instructions when a session starts, and a get_playbook tool returns the rules for each kind of diagram.

The list of tools is served by the server itself (tools/list), so it is always current. Tools can create, change and delete content in the projects of the account that authorizes the connection.

Connect

With OAuth 2.0 (no API key)

The server supports OAuth 2.0 (authorization code with PKCE S256). You sign in to OrgGen, check which application is asking for access, and allow or deny it.

OAuth has been verified with Claude (custom connector in claude.ai) on 2026-10-22. We have not tested it with other clients, and the server currently authorizes only the clients it has been proven with. Other clients can connect with an API key.

With an API key
  1. Create a free account at https://www.orggen.ai.
  2. Generate an API key in your account settings.
  3. Send it as a bearer token with every request:
Authorization: Bearer YOUR_API_KEY

Many MCP clients accept a URL plus custom headers. The exact configuration file depends on the client; the values are:

{
  "url": "https://www.orggen.ai/api/mcp",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

The free plan includes MCP access with an account, rate-limited to 500 calls a day; paid plans have higher limits.

Use

  • One API key per agent. A key remembers an active project; two agents sharing a key can overwrite each other's target.
  • Target the project on every write. Pass expectedProjectId (the project's UUID) on any call that modifies data. Optionally send an X-Project-Id header to choose the project for a request.
  • Read the checks field of a write response: it lists business problems that your call has just introduced (for example, shares above 100% in a cap table). Silence means nothing to report.
  • Start with get_schema_overview to see what a project already contains before creating anything.

About

OrgGen AI is a hosted service operated by its publisher; see the terms of service linked above. This repository contains no service source code and carries no license for it.

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