---
title: "MCP"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{MCP}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

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MCP connects tools across applications. gptr can call an existing MCP server's tools as R
functions, or serve its live R session to another agent. A model provider is configured
separately; see [Language models](language-models.html). All examples here require an existing
server or change configuration, so they are shown without being run.

## List first, connect when needed


``` r
library(gptr)
gptr_mcp()
```

The default listing reads configuration and cached counts. It does not start a process or contact
a server. It includes gptr's user and project files and compatible configurations from Claude
Code, Claude Desktop, Codex, Cursor, VS Code and Pi. gptr reads those other applications' files
without editing them; their servers are used on request rather than advertised automatically.

Listing tools can connect when the cache is missing or stale. `refresh = TRUE` reconnects even
when `tools = FALSE`. A stdio connection starts a local program; an HTTP connection contacts its
endpoint. Limit inspection to the server you intend to use:


``` r
gptr_mcp("catalog", tools = TRUE)
gptr_mcp("catalog", tools = TRUE, refresh = TRUE)
```

Project servers are listed in an untrusted project but are not started. Review the configuration
and command before trusting a project, as described in [Configuration](configuration.html).

## Register a server

`gptr_mcp_add()` accepts either `command` plus `args` for stdio, or `url` for Streamable HTTP.
It writes gptr's own configuration and does not connect. Install or configure the server itself
using its documentation before registering it. For a server script you already have:


``` r
gptr_mcp_add(
  "catalog",
  command = "Rscript",
  args = c("--vanilla", "/absolute/path/to/mcp-server.R"),
  env = c(CATALOG_API_KEY = "${CATALOG_API_KEY}"),
  scope = "user"
)
```

An R server using a private package library needs that search path explicitly:


``` r
gptr_mcp_add(
  "my-r-server",
  command = file.path(R.home("bin"), "Rscript"),
  args = c("--vanilla", "/absolute/path/to/server.R"),
  env = c(R_LIBS = paste(.libPaths(), collapse = .Platform$path.sep)),
  scope = "project"
)
```

Servers using R's standard library do not need this setting. MCP child processes
receive a filtered environment. Declare only trusted library paths; keep credentials
in their separate placeholders.

For an existing HTTP service:


``` r
gptr_mcp_add(
  "catalog-http", url = "http://127.0.0.1:8000/mcp",
  headers = c(Authorization = "Bearer ${CATALOG_API_KEY}"),
  scope = "project"
)
```

`scope = "user"` stores the entry in `mcp.json` under `tools::R_user_dir("gptr", "config")`.
`scope = "project"` uses `.gptr/mcp.json`. Secrets in `env` and `headers` must use `${VAR}`
placeholders; gptr expands them from the environment at connection time. Do not put key values
in a checked-in file or a recorded command. See [Configuration](configuration.html) for
environment loading and credential storage.

`exposure = "r"` lists R signatures in the model's catalog. `"direct"` declares full model
tools, `"deferred"` makes tools discoverable through `peter$search()`, and `"hidden"` omits them
from the catalog. The timeout is per request; server progress notifications extend it.

Remove an entry from the same scope in which you added it:


``` r
gptr_mcp_remove("catalog", scope = "user")
```

Removal closes the connection and deletes that gptr entry. An entry in another scope or another
application's configuration can still exist; edit its owning configuration to remove it there.

## Call tools as R functions

The tool listing reports each tool's R signature. Use the names and parameters it actually
returns; `search` below is illustrative and must exist on your server:


``` r
peter$help("catalog/search")
result = peter$mcp$catalog$search(query = "normalization")
str(result)
```

The first call connects if necessary. Server and tool names are normalized into R member names;
use the listed signature, or backticks for names that need them. Structured results become R
values when possible; otherwise calls return text. A server-reported tool error becomes an R
error. Filter a large result before printing or passing it to a model.

Tool arguments cross the connection as serialized data; an external server does not share R's
object bindings. Serving R below lets another agent request computation on live local objects.

Choose a model in [Language models](language-models.html), then make an ordinary request.
The model uses the same functions inside its `r` tool:


``` r
peter("Find normalization references using the catalog MCP server.")
```

MCP tools called by model code pass gptr's permission policies. Server descriptions and results
are external data. Read-only annotations lower risk only when the server's annotations are
explicitly trusted; a server calling itself read-only is not a permission grant. To trust them,
add `"trusted": true` to the server's entry in the user `mcp.json` (honored nowhere else); the
`trusted` column of `gptr_mcp()` shows it.
User calls to a `peter$` helper execute directly, so review their side effects yourself.

The public client currently exposes MCP **tools**. It does not provide a separate public API
for listing or reading MCP resources or invoking MCP prompts. A server may offer those actions
as tools, in which case call the advertised tool signature. See
[Tools and artifacts](tools-and-artifacts.html) for gptr's own file and output helpers.

## Authenticate an HTTP server

For an OAuth-capable HTTP server, sign in from an interactive R session:


``` r
gptr_login("mcp:catalog-http")
gptr_logout("mcp:catalog-http")
```

`method = "oauth"` requests the browser flow; `"key"` requests masked key entry when supported.
The server must support the chosen authentication method. A model tool call does not open a
browser for you; an authentication error names the sign-in function to run. Credentials are
stored separately from the MCP configuration. A stdio server's environment-based credentials
are configured through its `env` placeholders.

## Serve your R session

`gptr_mcp_serve(tools, envir, port = NULL, stop = FALSE)` exposes a subset of `r`, `read`, `edit`
and `write` from the current R process. It requires the optional packages `httpuv`, `later` and
`openssl`. Choose the environment whose objects the other agent should be able to inspect or
change:


``` r
workspace = new.env()
workspace$measurements = data.frame(value = c(2, 3, 5))
server = gptr_mcp_serve(tools = c("r", "read"), envir = workspace)
server$url
server$config$codex
server$stop()
```

The handle provides `$url`, `$port`, `$token_env`, `$config` and `$stop()`. `$config` contains
client snippets for Codex, Claude Code, Claude Desktop and Cursor. Printed snippets redact the
token; `as.character(server$config$claude_code)` produces the actual configuration text for
deliberate copying. Treat that text as a credential. The Codex snippet supplies `$args` and `$env`
for the client process; it is not a command to paste without its environment.

One server runs per R process, bound to `127.0.0.1` with a bearer token. It serves requests while R
waits at the console or inside a gptr call. Calls use a dedicated gptr session and the permission
mode in effect when the server starts; stop and restart it to change that mode. An action that
needs a new approval is refused in a background callback. Approve a specific needed action
interactively through your permission settings before retrying.

Serving `r` permits code execution in the supplied environment; a separate environment helps
organize objects but is not an operating-system sandbox. The R tool can use its already-loaded
objects without an intermediate dataset file, while returned text and images leave R through
the connection. See [Execution model](execution-model.html) for the provider context boundary.
The server exposes tools, not an MCP resource or prompt catalog. Stop it with `server$stop()`
or `gptr_mcp_serve(stop = TRUE)` when finished.
For interactive approvals and recorded R work, see [Interactive console](interactive-console.html)
and [Record, replay and export](script-as-history.html).