PAPI: Persistent Adaptive Planning Intelligence vs Har
A side-by-side look at the PAPI: Persistent Adaptive Planning Intelligence and Har MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose PAPI: Persistent Adaptive Planning Intelligence for coding agents work over a hosted endpoint; choose Har for coding agents as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
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.
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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Coding Agents | Coding Agents |
| Quality signal | 57/100 · Good | 52/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 11 | 128 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 15 | Not listed |
| Full listing | View PAPI: Persistent Adaptive Planning Intelligence | View Har |
Tools & capabilities
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
Har tools
No tool names declared yet. Check the project README from 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.
PAPI: Persistent Adaptive Planning Intelligence
{
"mcpServers": {
"papi-persistent-adaptive-planning-intelligence": {
"url": "https://mcp.getpapi.ai/mcp"
}
}
}
Har
{
"mcpServers": {
"osfactory-har": {
"command": "npx",
"args": [
"-y",
"@osfactory/har"
]
}
}
}
Frequently asked questions
PAPI: Persistent Adaptive Planning Intelligence is categorized under Coding Agents and uses a remote HTTP/SSE transport. Har belongs to Coding Agents and uses a local stdio subprocess. Pick PAPI: Persistent Adaptive Planning Intelligence for coding agents work and Har 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.
PAPI: Persistent Adaptive Planning Intelligence has no declared pricing — check the project's own site. Har is listed as free. Auth: no auth required. 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 papi-persistent-adaptive-planning-intelligence and osfactory-har as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, PAPI: Persistent Adaptive Planning Intelligence has a quality signal of 57/100 (Good) with 1 views, 0 installs and 11 GitHub stars. Har has 52/100 (Good) with 2 views, 0 installs and 128 GitHub stars.