Schema | Agent Context MCP Server

Agent Context MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
start_taskC	Creates a new working context task and returns the task ID.
log_progressB	`Appends a progress log entry to the task. Valid entry_type values: step_done, error_hit, next_step, note`
log_decisionC	Logs a technical decision with its reason to the context.
add_questionC	Adds an unresolved open question to the context.
resolve_questionB	Marks an open question as resolved.
resumeA	`Returns the full state of a task (or the most recent active one if not provided): active task details, recent progress, decisions, and open questions.`
list_tasksB	Lists tasks, optionally filtered by status (active, done, blocked, abandoned).
graph.indexC	Parses a given file path and saves the extracted symbols to the symbols table.
graph.get_symbolC	Retrieves a symbol's info, file, and line numbers from the database.
graph.trace_callsB	Returns the inbound or outbound call chain for a given symbol. direction: 'inbound' or 'outbound'
graph.get_architectureB	Returns a basic high-level overview of the parsed codebase, including files, symbol counts, and entry points.
project.exportA	Creates a compressed zip backup of the entire .agentctx/ directory.

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/Arunavo-ProjectIdea/Agent-Context-MCP-Server'

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