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protocol-mcp
Advanced tools
Protocol MCP server for Meta-Cognitive Swarm - Persistent memory and state tracking
Memoria - Long-term Memory for Meta-Cognitive Swarm Architecture
A Model Context Protocol (MCP) server that provides persistent state tracking and blueprint management for AI agent workflows.
No installation needed! Used automatically via MCP config:
{
"mcpServers": {
"protocol": {
"command": "npx",
"args": ["-y", "@baxtercooper/protocol-mcp"]
}
}
}
npm install -g @baxtercooper/protocol-mcp
git clone https://github.com/BaxterCooper/agentic.git
cd agentic/protocol-mcp
npm install
npm run build
npm start
init_blueprint(goal, steps)Initialize a new project blueprint.
Parameters:
goal (string): The high-level project goalsteps (string[]): List of atomic task descriptionsReturns: Confirmation message with timestamp
Example:
{
tool: "init_blueprint",
arguments: {
goal: "Add user authentication",
steps: [
"Design auth architecture",
"Implement JWT service",
"Add login endpoint",
"Add middleware"
]
}
}
update_step(step_id, status, notes?, priority?, dependencies?)Update a step's status and metadata.
Parameters:
step_id (number): The ID of the step to updatestatus (string): PENDING | IN_PROGRESS | DONE | FAILED | BLOCKEDnotes (string, optional): Notes about the updatepriority (number, optional): -1=low, 0=normal, 1=highdependencies (number[], optional): Step IDs that must complete firstReturns: Update confirmation with old → new status
Example:
{
tool: "update_step",
arguments: {
step_id: 1,
status: "DONE",
notes: "Completed architecture design"
}
}
read_protocol(include_history?)Read the current protocol state.
Parameters:
include_history (boolean, optional): Include step change historyReturns: JSON representation of the protocol
Example:
{
tool: "read_protocol",
arguments: {
include_history: false
}
}
get_audit_trail(step_id?, limit?)Query the audit trail for historical events.
Parameters:
step_id (number, optional): Filter by specific steplimit (number, optional): Max events to return (default: 50)Returns: JSON array of audit events with timestamps
Example:
{
tool: "get_audit_trail",
arguments: {
limit: 20
}
}
check_dependencies(step_id)Validate if a step's dependencies are met.
Parameters:
step_id (number): The step ID to checkReturns: Status message indicating if ready to proceed
Example:
{
tool: "check_dependencies",
arguments: {
step_id: 3
}
}
{
project_goal: string;
blueprint: BlueprintStep[];
created_at: string; // ISO 8601
last_modified: string; // ISO 8601
}
{
id: number;
task: string;
status: "PENDING" | "IN_PROGRESS" | "DONE" | "FAILED" | "BLOCKED";
priority: number; // -1=low, 0=normal, 1=high
dependencies: number[]; // Step IDs
created_at: string; // ISO 8601
updated_at: string; // ISO 8601
history: HistoryRecord[]; // Change log
notes?: string;
}
{
timestamp: string; // ISO 8601
old_status: string;
new_status: string;
notes: string;
}
Location: .claude/memory/ in the project directory
This MCP server is part of the Meta-Cognitive Swarm Architecture. It serves as the Memoria (long-term memory) component.
See: https://github.com/BaxterCooper/agentic
npm run build
npm run dev # Watch mode
# Start server
npm start
# In another terminal, test with MCP client
MIT License - see LICENSE file
3.0.0
BaxterCooper
FAQs
Protocol MCP server for Meta-Cognitive Swarm - Persistent memory and state tracking
We found that protocol-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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