Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Connect any AI coding app to enterprise data sources. One binary, one JSON config.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OE_MCP_CONFIG_PATHYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"oe": {
"command": "npx",
"args": [
"-y",
"@openenthrium/oe-mcp",
"--stdio",
"${OE_MCP_CONFIG_PATH}"
],
"env": {
"OE_MCP_CONFIG_PATH": "your-value"
}
}
}
}Run this in your terminal
claude mcp add oe --env OE_MCP_CONFIG_PATH=your-value -- npx -y @openenthrium/oe-mcp --stdio '${OE_MCP_CONFIG_PATH}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"oe": {
"command": "npx",
"args": [
"-y",
"@openenthrium/oe-mcp",
"--stdio",
"${OE_MCP_CONFIG_PATH}"
],
"env": {
"OE_MCP_CONFIG_PATH": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"oe": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@openenthrium/oe-mcp",
"--stdio",
"${OE_MCP_CONFIG_PATH}"
],
"env": {
"OE_MCP_CONFIG_PATH": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account enthrium, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: OE_MCP_CONFIG_PATH
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.6.6) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Recta
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
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Open Enthrium AI MCP Server Enterprise MCP Server · Apache-2.0 · Claude Code · Cursor · Windsurf · Codex · Claude Desktop · VS Code
Connect any AI coding assistant to your enterprise data — databases, files, APIs, and more — via a single binary.
A standalone binary that implements the Model Context Protocol (MCP) and exposes your enterprise data sources as tools that AI apps can use directly. No code. Define connectors in a single JSON file.
--stdio for Claude Code / Cursor / Windsurf; --serve for cloud or team deploymentsmemory_set / memory_get / memory_list / memory_delete survive across sessionsrun_agent executes any OE Runtime SKILL.md agent directly from Claude Code, Cursor, or any MCP client. Manual skills pause for approval via approve_chain.1. Create `oe-mcp.json`:
{
"connectors": [ { "name": "my-postgres", "type": "postgresql", "host": "localhost", "port": 5432, "database": "mydb", "user": "postgres", "password": "secret" }, { "name": "my-codebase", "type": "filesystem", "basePath": "/home/user/projects/myapp" } ], "memory": [ { "key": "project_context", "value": "This is our main application." } ] }
2. Add to your AI app's MCP config:
macOS / Linux:
{
"mcpServers": { "oe-mcp": { "type": "stdio", "command": "npx", "args": ["-y", "@openenthrium/oe-mcp", "--stdio", "/path/to/oe-mcp.json"] } } }
Windows:
{
"mcpServers": { "oe-mcp": { "type": "stdio", "command": "npx.cmd", "args": ["-y", "@openenthrium/oe-mcp", "--stdio", "C:\\path\\to\\oe-mcp.json"] } } }
`-y` is required — without it npx blocks waiting for keyboard input and the MCP connection never opens.
3. Reload your AI app — connectors appear as tools automatically.
Ask Claude: _"What connectors do you have access to?"_ to verify.
| Platform | Binary |
|---|---|
| Windows | oe-mcp-win.exe |
| Linux | oe-mcp-linux |
| macOS | oe-mcp-macos |
| Sample configs | oe-mcp-samples.zip |
Persistent memory that survives restarts — stored in oe-mcp-memory.json:
| Tool | Description |
|---|---|
memory_set | Store a key-value pair across sessions |
memory_get | Retrieve a stored value by key |
memory_list | List all stored key-value pairs |
memory_delete | Remove a stored key |
_"Remember that our production database is on prod-db.company.com"_ → Claude calls
memory_set
Every connector call is logged automatically to oe-mcp-log.json:
| Tool | Description |
|---|---|
log_list | List recent connector calls (newest first, supports limit) |
log_clear | Clear all log entries |
Execute OE Runtime SKILL.md agents or YAML agents directly from Claude Code, Cursor, or any MCP client — no terminal required:
| Tool | Description |
|---|---|
run_agent | Run an agent by file path. Auto skills execute immediately; manual skills pause and return pending_skill_chain. |
list_pending_skills | List all manual skills currently paused and waiting for approval |
approve_chain | Approve, skip, or abort a paused manual skill by chain_id |
`run_agent` parameters:
| Parameter | Required | Description |
|---|---|---|
file | ✅ | Absolute path to agent.yaml |
params | ❌ | Key-value pairs substituted via {{key}} in the agent |
input | ❌ | Optional initial message passed to the agent |
`approve_chain` parameters:
| Parameter | Required | Description |
|---|---|---|
chain_id | ✅ | From pending_skill_chain.chain_id in a run_agent response |
approved | ❌ | true to run the skill (default), false to skip it and continue |
abort | ❌ | true to stop the entire pipeline immediately |
OE MCP looks for oe-config.json in the agent's directory first, then falls back to oe-mcp.json.
When an agent's skill pipeline includes manual skills, Claude handles the approval loop automatically:
run_agent → response shows ⏸ Skill awaiting approval with chain_id and skill_nameapprove_chain → next skill runs or the next manual skill pauses againPipeline complete or Claude abortsExample instruction to Claude Code: _"Run the OE Skills orchestrator and send a Slack message — skip anything you can't do, abort if it asks for credentials."_
| Mode | Flag | Best for |
|---|---|---|
| stdio | --stdio | Claude Code, Cursor, Windsurf, Codex, Claude Desktop — launched as child process |
| HTTP | --serve --port 4040 | Cloud deployments, sharing one server across a team |
HTTP mode — start the server, then add the URL to Cursor / Windsurf / Claude Desktop:
oe-mcp-linux --serve --port 4040 /path/to/oe-mcp.json
Download oe-mcp-samples.zip — ready-to-use oe-mcp.json for common connectors:
postgres · mysql · mongodb · github · slack · gdrive · ssh · filesystem · oracle · salesforce · servicenow · telegram · notion · confluence · graphql · zoho-mail · sftp · dropbox · multi-connector
| ⚡ Agent Runtime | open-enthrium-ai-agent-runtime — run SKILL.md agents as CLI or HTTP server |
| 🖥️ Platform | open-enthrium-ai-platform — full web app with workspaces, RAG, Agent Builder |
| 🌐 Website | openenthrium.com |
→ See [CONTRIBUTING.md](CONTRIBUTING.md) for how to add sample configs and connector adapters.
Apache-2.0 — free to use, modify, and deploy for any purpose, including commercial use. No usage limits. No telemetry. No call-home.
[⭐ Star this repo](https://github.com/enthrium/open-enthrium-ai-mcp-server) · [🌐 Website](https://www.openenthrium.com) · [⚡ Agent Runtime](https://github.com/enthrium/open-enthrium-ai-agent-runtime)