riotplan-mcp-http
An HTTP-based Model Context Protocol server for RiotPlan that exposes comprehensive planning tools, resources, and prompts for AI agents. It enables full plan lifecycle management, including ideation, shaping, execution tracking, and retrospective generation.
README
@kjerneverk/riotplan-mcp-http
HTTP MCP server for RiotPlan.
This package is the network-facing surface of RiotPlan. It exposes every plan
operation as an MCP tool, resource, or prompt over HTTP using Hono and the
MCP SDK's StreamableHTTPTransport. Clients like Cursor, VS Code extensions,
and any MCP-compatible agent connect here.
What lives here
Server (src/server-hono.ts)
The Hono application that wires up MCP transport, session management, cloud
sync, RBAC authentication, plan download/upload routes, and the /health
endpoint. This is the main runtime entry point.
Tools (src/tools/)
Every riotplan_* MCP tool definition. Each file exports a tool object with
a name, Zod schema, description, and execute function. Tools cover the full
plan lifecycle:
- idea -- create plans, add notes/constraints/questions/evidence/narrative
- shaping -- start shaping, add approaches, compare, select
- build -- prepare caller-side generation instructions from plan artifacts
- build-write -- validate and persist generated plan artifacts and steps
- step -- start, complete, add, remove, move steps
- status -- read plan status
- transition -- move between lifecycle stages
- history -- checkpoints and timeline
- catalyst -- manage catalyst associations
- evidence -- structured evidence writer
- reflect -- step reflections
- retrospective -- generate plan retrospectives
- context -- read plan context for LLM consumption
- project -- bind plans to projects, resolve project context
- switch -- list plans, switch active plan, rename, delete
- generate -- server-side AI plan generation (legacy)
- validate -- plan validation
Resources (src/resources/)
MCP resource handlers for read-only access to plan data (plan metadata, status, steps, individual step content, idea, shaping, evidence, timeline, checkpoints, artifacts, prompts).
Prompts (src/prompts/)
MCP prompt templates for guided workflows (create plan, explore idea, shape approach, develop plan, execute step, execute plan, track progress, generate retrospective).
Session (src/session/)
Session management for multi-connection MCP server operation.
Other
rbac.ts-- role-based access control engine (API key auth, user/role lookup, route-level enforcement).bin-http.ts-- CLI entry point for starting the HTTP server.heartbeat.ts-- health/liveness utilities.types.ts-- MCP-specific type definitions (McpTool, ToolResult, ToolExecutionContext, resource types, prompt types).uri.ts--riotplan://URI parser.
Dependencies
| Package | Role |
|---|---|
@kjerneverk/riotplan |
Plan operations, types, AI artifact loading, config, status generation, step mutations, reflection writer, plan loader, plan categories |
@kjerneverk/riotplan-core |
Core service composition (lifecycle, status, idea, build helpers) -- used by a subset of tools |
@kjerneverk/riotplan-format |
SQLite provider for direct plan file/step/timeline access |
The dependency on @kjerneverk/riotplan is currently broad -- tools import
from subpaths like @kjerneverk/riotplan/ai/artifacts and
@kjerneverk/riotplan/config. A future goal is to narrow this so the MCP
server depends only on well-defined service interfaces rather than reaching
into riotplan internals.
Development
During development, use npm link to resolve sibling packages:
cd ../riotplan && npm link
cd ../riotplan-core && npm link
cd ../riotplan-mcp-http && npm link @kjerneverk/riotplan @kjerneverk/riotplan-core @kjerneverk/riotplan-format
Status
Extraction in progress. Source code is real (copied from riotplan/src/mcp/
with imports rewritten to use package paths). The identical source still
exists in riotplan/src/mcp/ and is tested through the riotplan test
suite. Standalone build, tests, and npm publishing are not yet configured.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.