## fulcra-context-mcp: An MCP server to access your Fulcra Context data

<!-- mcp-name: com.fulcradynamics/context -->


This is an MCP server that provides tools and resources to call the Fulcra API using [`fulcra-api`](https://github.com/fulcradynamics/fulcra-api-python).

There is a public instance of this server running at `https://mcp.fulcradynamics.com/mcp`. The OpenAI plugin connects to `https://mcp.fulcradynamics.com/openai/mcp`, which serves the same tools except `get_location`, `get_sleep`, `get_workouts` and `get_time_series`. Claude's connector and plugin connect to `https://mcp.fulcradynamics.com/claude/mcp`: the `/mcp` tools without those four, with the contact panels always offered.  See [https://docs.fulcradynamics.com/](https://docs.fulcradynamics.com/) to get started quickly.  This repo is primarily for users who need to run the server locally, want to see under the hood, or want to help contribute.

When run on its own (or when `FULCRA_ENVIRONMENT` is set to `stdio`), it acts as a local MCP server using the stdio transport.  Otherwise, it acts as a remote server using the Streamable HTTP transport.  It handles the OAuth2 callback, but doesn't leak the exchanged tokens to MCP clients.  Instead, it maintains a mapping table and runs its own OAuth2 service between MCP clients.

Set `OPENAI_APPS_CHALLENGE` to the OpenAI plugin portal's domain verification token to serve it at `/.well-known/openai-apps-challenge`; unset, that path returns 404.

### Remote Connection using Proxy

There is a public instance of this server running at `https://mcp.fulcradynamics.com/`.  Point your OAuth2-capable MCP clients at that.

### Local Connection

Example Claude Desktop config using `uvx`:
```
{
    "mcpServers": {
        "fulcra_context": {
            "command": "uvx",
            "args": [
                "fulcra-context-mcp@latest"
            ]
        }
    }
}
```

### Model-facing tools

MCP discovery provides the current tool schemas and descriptions. Contact and
metadata tools include:

- `open_agent_contacts`: open Agents I Know, optionally targeting an exact peer
  user ID or discovered multiparty thread ID. Opening is read-only; rendering
  requires a host with MCP Apps support.
- `update_data_type`: update an owned active v1 Event/Metric type's name or
  description with user authorization and independent readback. It does not
  change schemas, records or shares; uncertain writes require reconciliation.
- `accept_agent_invitation` on `/mcp`: with the user's authorization, create or
  reuse an empty response channel, share it narrowly with the exact inviter and
  post the supplied first introduction. Inspect uncertain outcomes read-only;
  saved attempts never automatically send/share again.
- `match_agent_invitations` on `/mcp`: complete user-prepared invitations using
  first-message codes and actual incoming-share owners, not message claims.
- `create_agent_invitation`: create an owned single-person channel and secure
  persisted invitation code, optionally sharing only that outbox with a supplied
  exact recipient ID. No message is sent. On `/mcp`, the result also includes full
  `invitation_text` and an explicit delivery next step; skills are optional.
  Reconcile errors before another call; do not fall back to generic creation.
  See [the invitation workflow and host-capability boundary](docs/invitation-workflow.md).
  `/openai/mcp` keeps its existing plugin contract and invitation UI.

App-only implementation tools are not part of the public model-facing reference.

### Debugging / Developer Tools

- [Agents I Know MCP App](docs/contacts-app.md): run this checkout through a private development tunnel and test the ChatGPT sidebar UI. The HTML ships with this server, not a separate plugin server.

- Both the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector) and [mcp-remote](https://github.com/geelen/mcp-remote) tools can be useful in debugging.

#### Viewing Tools

Every MCP client is different, but many abbreviate tool and parameter descriptions for summaries. To avoid confusing client models, keep the initial descriptions short (full description in one line, around 80 characters).

While developing locally, the `scripts/simulate_tools.py` script simulates what this might look like to an MCP client:
```
FULCRA_ENVIRONMENT=stdio uv run python scripts/simulate_tools.py --command "uv run fulcra-context-mcp"
```

## Bugs / Feature Requests

Please feel free to reach out via [the GitHub repo for this project](https://github.com/fulcradynamics/fulcra-context-mcp) or [join our Discord](https://discord.com/invite/aunahVEnPU) to reach out directly.  Email also works (`support@fulcradynamics.com`).

<a href="https://glama.ai/mcp/servers/@fulcradynamics/fulcra-context-mcp">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@fulcradynamics/fulcra-context-mcp/badge" />
</a>