Umtri
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http umtri 'https://mcp.umtri.io'
{
"mcpServers": {
"umtri": {
"type": "http",
"url": "https://mcp.umtri.io"
}
}
}
umtri-mcpclaude mcp add umtri -e 'UMTRI_API_TOKEN=<your umtri_api_token>' -e 'UMTRI_API_BASE=<UMTRI_API_BASE>' -- npx -y umtri-mcp@1.5.3
{
"mcpServers": {
"umtri": {
"command": "npx",
"args": [
"-y",
"umtri-mcp@1.5.3"
],
"env": {
"UMTRI_API_TOKEN": "<your umtri_api_token>",
"UMTRI_API_BASE": "<UMTRI_API_BASE>"
}
}
}
}
Environment variables
UMTRI_API_TOKENrequired secret Personal access token from app.umtri.io → Settings → API Tokens. Read tokens cannot call write tools.UMTRI_API_BASEOverride the API base URL. Defaults to https://api.umtri.io — set only when self-hosting.
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
umtri-mcp
MCP server for Umtri — give your AI coding agent a persistent map of your project's structure, dependencies, and bugs.
Your agent re-derives your codebase from scratch every session. Umtri stores the structure once and hands it back through MCP: a tree of what the system is made of, the calls and dependencies between its parts, and the bugs eroding it. Ask "what breaks if I change this?" and get an answer traced through recorded connections rather than guessed from a grep.
Quick start
The fastest path is the hosted endpoint at https://mcp.umtri.io — nothing to install. Generate a
token at app.umtri.io → Settings → API Tokens, then:
claude mcp add --transport http umtri https://mcp.umtri.io \
--header "Authorization: Bearer umtri_pat_xxxxxxxxxxxxxxxx"
Any MCP client that takes a config object uses the same shape:
{
"mcpServers": {
"umtri": {
"type": "http",
"url": "https://mcp.umtri.io",
"headers": { "Authorization": "Bearer umtri_pat_xxxxxxxxxxxxxxxx" }
}
}
}
Run it yourself (stdio)
Use this package when you want to pin a version or point at a self-hosted API:
claude mcp add umtri \
-e UMTRI_API_TOKEN=umtri_pat_xxxxxxxxxxxxxxxx \
--transport stdio \
-- npx -y umtri-mcp
| Variable | Required | Default |
|---|---|---|
UMTRI_API_TOKEN | yes | — |
UMTRI_API_BASE | no | https://api.umtri.io |
The token is not validated at setup time, so a bad token connects but every call fails. If tools
appear and then error, re-check the token and its scope — read tokens cannot call any write tool.
Tools
Read — get_graph, get_bug, get_impact, list_projects, list_bugs, list_seasons,
list_events
Write — create_project, create_node, update_node, delete_node (a subtree only with
cascade: true), create_edge, delete_edge, create_api, update_api, delete_api,
create_bug, update_bug, delete_bug, create_season (acts only after the user confirms)
Plan loop — commit_plan, record_commit
Wiki — list_wiki, get_wiki, list_wiki_revisions, write_wiki, delete_wiki. The ground's
encyclopedia: pages form a table of contents (parent, position) read from an overview down,
each has a kind, and every write comes back with warnings when a page strays from the skeleton.
Feedback — send_feedback files a suggestion or defect about Umtri itself.
get_graph returns a slice, not a dump: scope by subtree (rootId), by layer (maxType), by role,
or by season, and control description weight separately. A large tree stays cheap to read.
Resources
Ten read-only documents the agent can pull for domain rules — the plant vocabulary (trunk/limb/twig/leaf/vein), what counts as a node and what does not, how seasons work, how plan nodes are meant to be realized, how a ground behaves while transplanting, keeping the tree in step with commits, and how to write and organize the wiki.
umtri://rules/vocabulary umtri://rules/plan
umtri://rules/vocabulary-detailed umtri://rules/commit-sync
umtri://rules/system-structure umtri://rules/wiki
umtri://rules/seasons umtri://templates/wiki
umtri://rules/transplant umtri://about/vision
Links
- Docs — https://docs.umtri.io
- App — https://app.umtri.io
- Site — https://umtri.io
License
Apache-2.0. See LICENSE.
Frequently asked questions
What is Umtri?
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
How do I install Umtri?
It runs as a remote server. In Claude Code: claude mcp add --transport http umtri 'https://mcp.umtri.io'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Umtri need an API key?
Yes. It expects UMTRI_API_TOKEN, which you set in its configuration.
Is Umtri open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Who maintains Umtri?
It is published by bepuljang. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.