Schema | NotiCode

NotiCode

Describes the environment variables required to run the server.

Name	Required	Description	Default
`NOTICODE_HOST`	No	Host the HTTP server binds to.	127.0.0.1
`NOTICODE_PORT`	No	Port for the HTTP server.	4319
`NOTICODE_MODEL`	No	Model used in chat mode.	claude-sonnet-4-20250514
`NOTICODE_TOKEN`	No	Optional bearer token to protect the HTTP endpoint.
`ANTHROPIC_API_KEY`	No	Required for chat mode only.
`NOTICODE_WORKSPACE`	No	Root directory the agent operates in.	cwd
`NOTICODE_MAX_OUTPUT`	No	Max chars returned per tool call.	30000
`NOTICODE_ALLOW_SHELL`	No	Set false to block shell execution.	true
`NOTICODE_ALLOW_WRITE`	No	Set false to make the agent read-only.	true

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
fs_readA	Read a UTF-8 text file. Returns the full content, or a line range when start_line/end_line are given.
fs_writeA	Create or overwrite a file with the given content. Parent directories are created automatically.
fs_editC	Replace an exact substring in a file. old_string must match exactly once unless replace_all is true.
fs_listA	List files and directories under a path, up to a given depth.
fs_searchA	Find files by glob pattern. If query is set, also returns matching lines inside those files (grep-style).
shell_execA	Run a shell command on the host machine and return combined stdout/stderr. Full system access.
sys_infoA	Return host system information: OS, CPU, memory, user, and the active workspace.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Antropov31/noticode-mcp'

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