Har vs PAPI: Persistent Adaptive Planning Intelligence
A side-by-side look at the Har and PAPI: Persistent Adaptive Planning Intelligence MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Har for coding agents work as a local process; choose PAPI: Persistent Adaptive Planning Intelligence for coding agents over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Har when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Choose PAPI: Persistent Adaptive Planning Intelligence when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
orient, setup, plan.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Coding Agents | Coding Agents |
| Quality signal | 52/100 · Good | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 128 | 11 |
| Directory activity | 2 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | 15 |
| Full listing | View Har | View PAPI: Persistent Adaptive Planning Intelligence |
Tools & capabilities
Har tools
No tool names declared yet. Check the project README from the listing page.
PAPI: Persistent Adaptive Planning Intelligence tools 15
orientone call returns the current cycle, what's in flight, and the recommended next action. Run it at the start of every session.setupscaffold PAPI onto a new project.planbreak goals into a cycle of right-sized tasks, each with a build handoff your assistant can execute directly.build_listlist the current cycle's tasks and their handoffs.build_executestart a task (creates a branch and handoff) and complete it (records the build report).tutorial_modeturn on short explanations and one clear next step in every reply. Handy for your first few cycles.board_viewread the project board and any task.board_editchange a task's status, cycle, priority, or notes.ad_hocrecord quick work done outside the cycle so it shows in project history.ideacapture a feature, bug, or research note into the backlog.bugfile a bug against the board.strategy_reviewstep back every few cycles to check direction, not just velocity.- +3 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Har
{
"mcpServers": {
"osfactory-har": {
"command": "npx",
"args": [
"-y",
"@osfactory/har"
]
}
}
}
PAPI: Persistent Adaptive Planning Intelligence
{
"mcpServers": {
"papi-persistent-adaptive-planning-intelligence": {
"url": "https://mcp.getpapi.ai/mcp"
}
}
}
Frequently asked questions
Har is categorized under Coding Agents and uses a local stdio subprocess. PAPI: Persistent Adaptive Planning Intelligence belongs to Coding Agents and uses a remote HTTP/SSE transport. Pick Har for coding agents work and PAPI: Persistent Adaptive Planning Intelligence for coding agents.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Har is listed as free. Auth: no auth required. PAPI: Persistent Adaptive Planning Intelligence has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add osfactory-har and papi-persistent-adaptive-planning-intelligence as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Har has a quality signal of 52/100 (Good) with 2 views, 0 installs and 128 GitHub stars. PAPI: Persistent Adaptive Planning Intelligence has 57/100 (Good) with 1 views, 0 installs and 11 GitHub stars.