Openclaw MCP vs PAPI: Persistent Adaptive Planning Intelligence
A side-by-side look at the Openclaw MCP 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 Openclaw MCP 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 Openclaw MCP when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
OPENCLAW_URL, OPENCLAW_GATEWAY_TOKEN, OPENCLAW_AGENT_ID, OPENCLAW_MODEL, OPENCLAW_TIMEOUT_MS, AUTH_ENABLED, MCP_CLIENT_ID, MCP_CLIENT_SECRET. - You want tools like
openclaw_chat, openclaw_status, openclaw_chat_async.
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 | 68/100 · Great | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | API key required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | OPENCLAW_URLOPENCLAW_GATEWAY_TOKENOPENCLAW_AGENT_IDOPENCLAW_MODELOPENCLAW_TIMEOUT_MSAUTH_ENABLEDMCP_CLIENT_IDMCP_CLIENT_SECRET | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 188 | 11 |
| Directory activity | 8 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 7 | 15 |
| Full listing | View Openclaw MCP | View PAPI: Persistent Adaptive Planning Intelligence |
Tools & capabilities
Openclaw MCP tools 7
openclaw_chatSend a message to OpenClaw and get a responseopenclaw_statusGet OpenClaw gateway status and health informationopenclaw_chat_asyncSend a message to OpenClaw asynchronously. Returns a task_id immediately that can be polled for results. Use this for potentially long-running conversations.openclaw_task_statusCheck the status of an async task. Returns status, and result if completed.openclaw_task_listList all tasks. Optionally filter by status, session, or instance.openclaw_task_cancelCancel a pending task. Only works for tasks that haven't started yet.openclaw_instancesList all configured OpenClaw instances. Shows instance names, URLs, and which is the default. Use instance names in other tools to target a specific OpenClaw gateway.
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.
Openclaw MCP
{
"mcpServers": {
"freema-openclaw-mcp": {
"command": "npx",
"args": [
"-y",
"openclaw-mcp"
],
"env": {
"OPENCLAW_URL": "YOUR_OPENCLAW_URL_HERE",
"OPENCLAW_GATEWAY_TOKEN": "YOUR_OPENCLAW_GATEWAY_TOKEN_HERE",
"OPENCLAW_AGENT_ID": "YOUR_OPENCLAW_AGENT_ID_HERE",
"OPENCLAW_MODEL": "YOUR_OPENCLAW_MODEL_HERE",
"OPENCLAW_TIMEOUT_MS": "YOUR_OPENCLAW_TIMEOUT_MS_HERE",
"AUTH_ENABLED": "YOUR_AUTH_ENABLED_HERE",
"MCP_CLIENT_ID": "YOUR_MCP_CLIENT_ID_HERE",
"MCP_CLIENT_SECRET": "YOUR_MCP_CLIENT_SECRET_HERE"
}
}
}
}
PAPI: Persistent Adaptive Planning Intelligence
{
"mcpServers": {
"papi-persistent-adaptive-planning-intelligence": {
"url": "https://mcp.getpapi.ai/mcp"
}
}
}
Frequently asked questions
Openclaw MCP 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 Openclaw MCP 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.
Openclaw MCP is listed as free. Auth: api key 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 freema-openclaw-mcp 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, Openclaw MCP has a quality signal of 68/100 (Great) with 8 views, 0 installs and 188 GitHub stars. PAPI: Persistent Adaptive Planning Intelligence has 57/100 (Good) with 1 views, 0 installs and 11 GitHub stars.