The **Outcome Backcasting MCP Server** exposes strategic planning capabilities to Claude through the Model Context Protocol (MCP). This allows Claude
The Outcome Backcasting MCP Server exposes strategic planning capabilities to Claude through the Model Context Protocol (MCP). This allows Claude to help users plan complex projects by working backwards from desired outcomes to. That is what the backcast mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
The server publishes 14 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverSetup — 1. Navigate to the installation directory: bash cd /home/panda/Documents/PythonScripts/OutcomeBackcasting/create_plan — The create_plan tool exposed by this serverload_plan — The load_plan tool exposed by this serverget_plan_overview — The get_plan_overview tool exposed by this serveradd_step — The add_step tool exposed by this serverupdate_step_status — The update_step_status tool exposed by this serverget_step_details — The get_step_details tool exposed by this serverlist_all_steps — The list_all_steps tool exposed by this serverget_next_actions — The get_next_actions tool exposed by this serverget_critical_path — The get_critical_path tool exposed by this serverget_blocked_steps — The get_blocked_steps tool exposed by this serverThis sits in the file and storage access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Backcast's toolset — Prerequisites, Setup, create_plan and 11 more — is a fair guide to whether it matches your workflow. It is maintained by net-of-being; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | 1. **Navigate to the installation directory:** bash cd /home/panda/Documents/PythonScripts/OutcomeBackcasting/ |
| create_plan | The create_plan tool exposed by this server. |
| load_plan | The load_plan tool exposed by this server. |
| get_plan_overview | The get_plan_overview tool exposed by this server. |
| add_step | The add_step tool exposed by this server. |
| update_step_status | The update_step_status tool exposed by this server. |
| get_step_details | The get_step_details tool exposed by this server. |
| list_all_steps | The list_all_steps tool exposed by this server. |
| get_next_actions | The get_next_actions tool exposed by this server. |
| get_critical_path | The get_critical_path tool exposed by this server. |
| get_blocked_steps | The get_blocked_steps tool exposed by this server. |
| Analysis | The Analysis tool exposed by this server. |
| analyze_plan | The analyze_plan tool exposed by this server. |
{
"mcpServers": {
"outcome-backcasting": {
"command": "/home/panda/Documents/PythonScripts/OutcomeBackcasting/run_backcast_mcp.sh"
}
}
}Configuration as documented by the project. Restart the client after saving.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.