MCP Servers · Developer
echology-io/decompose
The missing cognitive primitive for AI agents. Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.
Our verdict
We have not reviewed echology-io/decompose yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About echology-io/decompose
A Python library that splits text into classified semantic units such as authority, risk, attention, and entities. It operates deterministically without using a language model, making it predictable and lightweight for AI agent pipelines.
Best for
Developers building deterministic text decomposition components for AI agents without using LLMs
Use cases
- Extracting authoritativeness signals from text for fact-checking pipelines
- Identifying risk-related phrases in compliance or security documents
- Parsing attention-worthy segments for summarization or alerting
Notes
9 stars on GitHub. Last updated 2026-05-24. Licensed MIT.
Pros
- Deterministic output with no reliance on LLMs, reducing cost and latency
- Lightweight and easy to integrate into existing Python projects
- Clearly defined output categories for straightforward downstream processing
Cons
- Limited to four predefined semantic categories, reducing flexibility for other use cases
- Very small community and low star count, indicating limited adoption and support
- May not capture nuanced or context-dependent meanings that an LLM could handle
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
pip install decompose-mcpClients the listing names (not checked here)
Claude Code, Cursor, Windsurf
Example client config
{
"mcpServers": {
"decompose": {
"command": "uvx",
"args": [
"decompose-mcp",
"--serve"
]
}
}
}Install
Add echology-io/decompose to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (runs on your computer)
claude mcp add --transport stdio echology-io-decompose -- uvx decompose-mcp@0.1.1Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"echology-io-decompose": {
"command": "uvx",
"args": [
"decompose-mcp@0.1.1"
]
}
}
}Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"echology-io-decompose": {
"command": "uvx",
"args": [
"decompose-mcp@0.1.1"
]
}
}
}VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"servers": {
"echology-io-decompose": {
"type": "stdio",
"command": "uvx",
"args": [
"decompose-mcp@0.1.1"
]
}
}
}Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.echology-io-decompose]
command = "uvx"
args = ["decompose-mcp@0.1.1"]- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What echology-io/decompose connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.1Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.1Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.1Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.1Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.1Config checked | Codex docs |
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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