Pathmode.io MCP Server — Connect Claude Code, Cursor, and AI agents to your Intent Layer
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
- !Licence file present but not machine-readable
claude mcp add mcp-server -- npx -y @pathmode/mcp-server{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": ["-y", "@pathmode/mcp-server"]
}
}
}MCP Servers overview
# @pathmode/mcp-server
Deterministic intent preflight before your agent builds: six calibrated gates, keyless, no model call.
**This repository is the issue tracker for the package, not its source.** The server is developed in
Pathmode's private monorepo and published to npm from there. This repo previously held a hand-copied
snapshot of the source, which drifted several versions behind the published package. It no longer
carries that copy, so there is nothing here to read out of date.
To read the code, unpack the published tarball:
```bash
npm pack @pathmode/mcp-server && tar -xzf pathmode-mcp-server-*.tgz
```
## Install
Add to `.mcp.json` in your project root:
```json
{
"mcpServers": {
"pathmode": {
"command": "npx",
"args": ["@pathmode/mcp-server"]
}
}
}
```
No account and no API key. Specs live in `intent.md` in your repo, as plain markdown you own. Set
`PATHMODE_API_KEY` to sync intent and evidence across a team.
## Links
- [npm package](https://www.npmjs.com/package/@pathmode/mcp-server): the published server, always current
- [IntentSpec](https://intentspec.org/spec): the open specification for the `intent.md` files this server writes
- [The intent.md profile](https://intentspec.org/intent-md): the six checks `check_intent_readiness` scores against
- [Pathmode](https://pathmode.io): the platform for teams
## Issues
Bug reports and feature requests belong in [Issues](https://github.com/pathmodeio/mcp-server/issues).
Include the output of `npx @pathmode/mcp-server --version` and the client you are running.
## License
MIT
What people ask about mcp-server
What is pathmodeio/mcp-server?
+
pathmodeio/mcp-server is mcp servers for the Claude AI ecosystem. Pathmode.io MCP Server — Connect Claude Code, Cursor, and AI agents to your Intent Layer It has 2 GitHub stars and its last recorded update is dated 2026-08-25.
How do I install mcp-server?
+
You can install mcp-server by cloning the repository (https://github.com/pathmodeio/mcp-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is pathmodeio/mcp-server safe to use?
+
Our security agent has analyzed pathmodeio/mcp-server and assigned a Trust Score of 72/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains pathmodeio/mcp-server?
+
pathmodeio/mcp-server is maintained by pathmodeio. The last recorded GitHub activity is dated 2026-08-25, with 0 open issues.
Are there alternatives to mcp-server?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy mcp-server to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/pathmodeio-mcp-server)<a href="https://claudewave.com/repo/pathmodeio-mcp-server"><img src="https://claudewave.com/api/badge/pathmodeio-mcp-server" alt="Featured on ClaudeWave: pathmodeio/mcp-server" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!