Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Lets AI coding agents discover and reference each other's recent sessions.
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.
You 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": {
"openharness": {
"command": "npx",
"args": [
"-y",
"@freebird-ai/openharness"
]
}
}
}Run this in your terminal
claude mcp add openharness -- npx -y @freebird-ai/openharnessPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openharness": {
"command": "npx",
"args": [
"-y",
"@freebird-ai/openharness"
]
}
}
}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": {
"openharness": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@freebird-ai/openharness"
]
}
}
}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 7, 2026
The registry name was verified with the GitHub account philo-kim, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.1.1) reached the registry 8 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, Zendesk
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.
Zendesk MCP Pack — tickets, users, organizations via OAuth.
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AI 코딩 에이전트의 최근 세션 파일을 찾아 서로 참조하게 해주는 로컬 MCP 서버.
전용 하네스 없이 하네스처럼 동작한다. 기존 도구 환경을 그대로 유지하면서, 에이전트 간 세션을 연결하는 디스커버리 레이어.
| Agent | Session Path | Format |
|---|---|---|
| Claude Code | ~/.claude/projects/ | JSONL |
| Codex CLI | ~/.codex/sessions/ | JSONL |
| Gemini CLI | ~/.gemini/tmp/ /chats/ | JSON |
npm install -g @freebird-ai/openharness
openharness init
This registers OpenHarness as an MCP server in each agent's config.
get_agent_sessionsReturns recent session paths for all agents, filtered by project.
Input:
{ "project": "/Users/me/my-app" }
Output:
[
{ "agent": "claude-code", "path": "/Users/me/.claude/projects/-Users-me-my-app/session.jsonl", "format": "jsonl", "updatedAt": "2026-03-17T14:32:00Z", "matchedProject": "/Users/me/my-app", "matchedBy": "directory-name" } ]
get_agent_sessionReturns the recent session path for a specific agent.
Input:
{ "agent": "claude-code", "project": "/Users/me/my-app" }
Output:
{
"agent": "claude-code", "path": "/Users/me/.claude/projects/-Users-me-my-app/session.jsonl", "format": "jsonl", "updatedAt": "2026-03-17T14:32:00Z", "matchedProject": "/Users/me/my-app", "matchedBy": "directory-name" }
Returns null if no session is found.
| Agent | Strategy |
|---|---|
| Claude Code | Project path escaped with - as directory name |
| Codex CLI | Workspace field inside session JSONL |
| Gemini CLI | Project path hash matching tmp/ / |
User → Codex: "Review what Claude Code worked on recently"
Codex → OpenHarness MCP: get_agent_session({ agent: "claude-code", project: "..." }) Codex ← receives session path + metadata Codex → reads the JSONL file directly and performs review
No rules needed in agent instruction files. MCP tool descriptions are enough for agents to use naturally.
If you prefer to configure manually instead of using init:
{
"mcpServers": { "openharness": { "command": "openharness", "args": [] } } }
Add this to your agent's MCP config file:
| Agent | Config File |
|---|---|
| Claude Code | ~/.claude/mcp.json or project .mcp.json |
| Codex CLI | project .codex/ |
| Gemini CLI | ~/.gemini/settings.json |
MIT