Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GITHUB_TOKENNoGitHub token for using the GitHub server.
BRAVE_API_KEYNoBrave Search API key for using the Brave Search server.
KITSUNE_TOOLSNoComma-separated list of tools to enable in the lean profile (e.g., 'shapeshift,shiftback,key').
SMITHERY_API_KEYNoFree API key for Smithery to extend discovery with its hosted server catalog (HTTP servers, no local install required).

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
searchA

Discover MCP servers across registries — the entry point to mounting.

Returns a ranked list of server_ids with name, description, source, and credential-readiness status. Records discovered servers in session so status() can summarize them. Reports per-registry failures inline rather than failing the whole call.

Use when: you need to find a server matching a capability before mounting. Avoid when: the server_id is already known — go straight to shapeshift() or inspect().

search('web search') # find candidates search('postgres', compare=True) # side-by-side token-cost table search('vector db', registry='smithery')

registry: all|official|mcpregistry|glama|npm|smithery|pypi

statusA

Show Kitsune runtime state: providers, current form, connections, token stats.

callA

Invoke a tool on an MCP server. Returns the tool's response as text.

Routes through the warm pooled transport when a server is shapeshifted; otherwise spins up a transient transport for the given server_id. Records the call in session stats. Long responses (HTML, large outputs) are truncated with a continuation note.

Use when: the tool name and target server are known. Avoid when: discovery is needed — auto() does search → pick → call in one step.

call('get_current_time', arguments={'timezone': 'UTC'}) # after shapeshift call('list_directory', '@mcp/server-fs', {'path': '/tmp'}) # ad-hoc one-shot

autoB

search → pick server → infer args → call. Use when you don't know which server to use.

auto('what time in Tokyo') auto('list issues on acme/api', server_hint='github')

authA

Check or set credentials. ALL_CAPS = env var; server-id = creds check or OAuth.

auth('GITHUB_TOKEN', 'ghp_...') # save env var auth('GITHUB_TOKEN') # check if set auth('server-id') # show creds needed / run OAuth auth('server-id', 'logout') # revoke OAuth tokens

shapeshiftA

Mount an MCP server's tools at runtime. Empty server_id unmounts.

shapeshift('mcp-server-time') # mount (community sources cage by default) shapeshift('id', tools=['only_this']) # lean — mount only listed tools shapeshift('id', sandbox=False) # opt out of the default Docker cage shapeshift('id', sandbox=True) # force the cage (hard-fail if no Docker) shapeshift() # unmount + kill process

sandbox: None (default) cages low-trust npm/PyPI/github sources in Docker when it's available (best-effort — runs uncaged with a nudge if not); True forces the cage; False opts out. source: auto|local|smithery|official. confirm=True for community sources.

connectC

Start a persistent server. command: server_id or shell cmd (e.g. 'uvx voice-mode'). name: alias for release().

release

Kill a persistent connection by name.

reloadA

Reload a persistent connection after editing its code — the MCP REPL in one call.

reload('dev') # release the stale process, start fresh code, remount live

Replaces the manual release() + connect() + shapeshift() cycle and removes the "connect() handed back the old process" footgun (it always releases first). name is the alias you gave connect().

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kaiser-data/kitsune-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server