PAPI: Persistent Adaptive Project Intelligence
NPM · @PAPI-AI/SERVER · 2 COMPONENTS · SCANNED SEP 20
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security88
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known medium-severity CVE affects @anthropic-ai/sdk 0.82.0, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 33 of 105 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency35
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (Elastic-2.0) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 4 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability63
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 18191 tokens (~324/item across 56 items; 56 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 5 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 56 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the PAPI: Persistent Adaptive Project Intelligence MCP server?
PAPI: Persistent Adaptive Project Intelligence runs locally as an npm package, launched with npx -y @papi-ai/server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @papi-ai/server
claude mcp add getpapi-papi -- npx -y @papi-ai/server
{
"mcpServers": {
"getpapi-papi": {
"command": "npx",
"args": [
"-y",
"@papi-ai/server"
]
}
}
} {
"servers": {
"getpapi-papi": {
"command": "npx",
"args": [
"-y",
"@papi-ai/server"
]
}
}
} codex mcp add getpapi-papi -- npx -y @papi-ai/server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"getpapi-papi": {
"type": "local",
"command": [
"npx",
"-y",
"@papi-ai/server"
],
"enabled": true
}
}
} openclaw mcp add getpapi-papi --command npx --arg -y --arg @papi-ai/server
mcp_servers:
getpapi-papi:
command: "npx"
args: ["-y", "@papi-ai/server"] {
"McpServers": {
"getpapi-papi": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@papi-ai/server"
]
}
}
} assistant mcp add getpapi-papi -t stdio -c npx -a -y @papi-ai/server
{
"mcpServers": {
"getpapi-papi": {
"command": "npx",
"args": [
"-y",
"@papi-ai/server"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 +1
- Stability: 0.97 → pass security
- 19 Sept 26 −1
- Stability: pass → 0.97 functional
- 18 Sept 26 +1
- Stability: 0.97 → pass security
- 17 Sept 26 −1
- Stability: pass → 0.97 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 −2
- Stability: pass → 0.87 functional
- 10 Sept 26 +1
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed npm/@papi-ai/server@0.7.85
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-p7fg-763f-g4gf | CVE-2026-41686 | medium | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 105 packages
| Packages resolved | 105 |
|---|---|
| Stale | 33 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
setup ~864
Give a project a memory, so every later session starts with its context instead of a blank slate. Setup reads the project, writes a Product Brief that says what it is for and who it serves, records the first Active Decisions and build conventions so settled answers outlive the session that found them, and installs the workflow instructions the coding assistant follows from then on. Everything after this (planning, building, reviewing) reads from what setup writes. It takes a few minutes and runs in two passes: the first returns prompts for you to execute, the second saves the results. Tell the user what each pass is doing while it runs. Run after configuring your MCP credentials (via `init` or manually from getpapi.ai). Only project_name is required — description and target_users are derived from README, package.json, and commit history when omitted. Set existing_project: true to adopt an existing codebase. ADOPTING AN EXISTING PROJECT OVER A REMOTE/HOSTED CONNECTOR (no local stdio install): PAPI cannot read your filesystem, so YOU (the client) must gather a `codebase_scan` and pass it in — list top-level dirs/files, the package manifest, the README (first ~3000 chars), and recent commit subjects. Without it, adoption falls back to asking for description/target_users. On a local stdio install PAPI scans the tree itself, so `codebase_scan` is optional there. First call returns prompts (prepare phase), then call again with mode "apply" and your outputs. After setup, run `plan` to start your first cycle.
| Name | Type | Req | Description |
|---|---|---|---|
| ad_seed_response | string | – | Your generated AD seed JSON array (mode "apply" only). Optional. |
| brief_response | string | – | Your generated Product Brief markdown (mode "apply" only). |
| codebase_scan | object | – | Client-gathered scan of the user's codebase for existing_project adoption. REQUIRED for adoption over a remote/hosted connector (PAPI cannot read your filesystem there); optional on a local stdio ins… |
| constraints | string | – | Technical or business constraints (e.g. "must use PostgreSQL", "HIPAA compliant"). |
| conventions_response | string | – | Your generated conventions markdown to append to CLAUDE.md (mode "apply" only). Optional. |
| deployment_target | string | – | Deployment environment. Optional — defaults to "cloud". |
| description | string | – | What the project does — one or two sentences. Optional: PAPI will derive this from README, package.json, and recent commit history when omitted. |
| existing_project | boolean | – | Set to true when adopting an existing codebase. PAPI will scan the project structure and generate context-aware setup artifacts. |
| force | boolean | – | Set to true to overwrite an existing Product Brief. Defaults to false. |
| initial_tasks_response | string | – | Your generated initial tasks JSON array (mode "apply" only, existing_project only). |
| mode | string | – | "prepare" returns prompts for brief/AD/convention generation. "apply" accepts your outputs. Defaults to "prepare" when omitted. |
| north_star_response | string | – | The project's North Star statement — one or two sentences (mode "apply" only). Provide the statement you extracted from the docs or agreed with the user in response to the prepare-phase North Star pr… |
| problems | string | – | Key problems it solves. Optional — PAPI will infer from description if omitted. |
| project_name | string | yes | Name of the project. |
| project_type | string | – | Project archetype. Optional — defaults to "other", PAPI recommends based on description. |
| sources | string | – | Comma-separated local file paths to reference docs (briefs, specs, READMEs) that provide additional project context. Only used with existing_project: true. |
| target_users | string | – | Who is this for? Role and context. Optional: PAPI will derive this from README and project context when omitted. |
| team_size | string | – | Team size. Optional — defaults to "solo". |
No output schema declared.
No examples provided.
strategy_agenda ~192
Queue topics for the next strategy review. Topics surface as input in the next `strategy_review` prepare phase and are automatically marked as addressed after the review completes. Two modes: "add" to queue a topic, "list" to see pending topics. Use this when you spot a strategic question during a build — capture the topic now instead of losing it.
| Name | Type | Req | Description |
|---|---|---|---|
| mode | string | – | "add" to queue a topic (requires `topic`). "list" returns all pending topics. Defaults to "list" when omitted. |
| source | string | – | Optional origin label — e.g. "manual", "carry-forward", "idea". Defaults to "manual". |
| source_cycle | number | – | Optional cycle number this topic originated from (mode "add" only). |
| topic | string | – | The topic to queue (mode "add" only). One sentence describing what the next strategy review should consider. |
No output schema declared.
No examples provided.
strategy_change ~448
Apply a strategic shift to the project. Three modes: "capture" for lightweight mid-conversation decision capture (no LLM round-trip), "prepare" to get a change prompt for full analysis, "apply" to persist analysis output. Use "capture" when you detect a strategic decision in conversation and want to persist it quickly without disrupting the build flow. In "capture" mode, pass north_star to directly set/update the project North Star (no decision text needed).
| Name | Type | Req | Description |
|---|---|---|---|
| ad_body | string | – | Full AD body in markdown format including ### heading (mode "capture" only). If omitted, a body is auto-generated from the text field. |
| ad_id | string | – | Existing AD ID to update (mode "capture" only). Omit to create a new AD. |
| confidence | string | – | Confidence level for the AD (mode "capture" only). Defaults to MEDIUM. |
| confidence_only | boolean | – | When true (mode "capture" + ad_id required), only update the confidence level — leave the AD body unchanged. Use when evidence strength changes but the decision itself hasn't shifted. |
| cycle_number | number | – | The cycle number from prepare phase (mode "apply" only). |
| llm_response | string | – | Your raw output from executing the change prompt (mode "apply" only). |
| mode | string | – | "capture" for lightweight direct persistence (no LLM needed). "prepare" returns the change prompt. "apply" accepts your output. Defaults to "prepare" when omitted. |
| north_star | string | – | mode "capture" only — set/update the project North Star statement directly. orient and the project foundation read it. No decision text required when this is provided. |
| supersedes | string | – | Existing AD ID this new decision replaces, e.g. "AD-42" (mode "capture" only). The named AD is marked superseded and kept as history — never overwritten. Use this instead of passing ad_id when the de… |
| text | string | – | Description of the strategic shift to apply (e.g. "Pivot from B2C to enterprise B2B"). |
No output schema declared.
No examples provided.
strategy_review ~419
Run a Strategy Review — assesses project direction, velocity, and Active Decisions. Produces recommendations and potential AD updates that feed into the next plan. Offered every 5 cycles; hard-blocked at 7+ overdue cycles. Run it in your current conversation — only start a fresh one if you are genuinely under context pressure (your host just compacted, you are near the context limit, or the session is heavy with build context), not just because a review is next. First call returns a review prompt for you to execute (prepare phase). Then call again with mode "apply" and your output. Pass `force: true` to run before the cadence gate.
| Name | Type | Req | Description |
|---|---|---|---|
| cycle_number | number | – | The cycle number from prepare phase (mode "apply" only). |
| dispatch | string | – | "inline" (default) returns the review prompt for the calling LLM to execute directly. "subagent" returns a Task() invocation prompt to dispatch the heavyweight reasoning to a fresh sub-agent. The app… |
| force | boolean | – | Bypass the 5-cycle cadence gate and run an early review. Use when you need a strategy review before the regular cadence — e.g. after a major pivot, unexpected blockers, or when recent builds have sig… |
| llm_response | string | – | Your raw output from executing the review prompt (mode "apply" only). |
| llm_response_file | string | – | Absolute path to a file containing the review output (mode "apply" only). LOCAL stdio servers only — on the hosted connection the server cannot read files on your machine; pass llm_response inline in… |
| mode | string | – | "prepare" returns the review prompt. "apply" accepts your output. Defaults to "prepare" when omitted. |
No output schema declared.
No examples provided.
task_claim ~113
Claim a task from the shared org Pool into your personal backlog (assignee = you). Atomic first-claim-wins — a concurrent double-claim is impossible. Cascades the DEPENDS ON chain: claiming a task also claims its not-Done prerequisites; if any prerequisite is already claimed by another member the whole claim is refused (a build unit is never split across owners). Does not call the Anthropic API.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | The task to claim, e.g. "task-2071". |
No output schema declared.
No examples provided.
task_move ~186
Move a task from the current project to another project you own. Reassigns the task a fresh id in the target (collision-free) and carries its build reports, comments, and history with it; the cycle assignment is cleared so it lands in the target project's backlog. You must own (or have write access to) BOTH projects. Destructive-ish and cross-project, so it requires confirm=true — without it you get a preview only. Does not call the Anthropic API.
| Name | Type | Req | Description |
|---|---|---|---|
| confirm | boolean | – | Set true to perform the move. Omit (or false) to get a preview of what would happen. |
| target_project | string | yes | The destination project — its slug (e.g. "papi-ui") or UUID. Must be a project you own. |
| task_id | string | yes | The task to move, e.g. "task-2292". |
No output schema declared.
No examples provided.
task_unclaim ~84
Release a task you claimed back to the shared Pool (clears assignee). Claimer-only and pre-review — you cannot unclaim another member's task or one that has reached In Review/Done. Does not cascade. Does not call the Anthropic API.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | The task to unclaim, e.g. "task-2071". |
No output schema declared.
No examples provided.
zoom_out ~311
Run a Zoom-Out Retrospective — a higher-level meta-retrospective that sits above strategy reviews. Analyses the full project arc: every cycle, decision, and pivot. Use when you want to step back and see the big picture after many cycles. First call returns a prompt (prepare phase). Then call again with mode "apply" and your output.
| Name | Type | Req | Description |
|---|---|---|---|
| cycle_number | number | – | The cycle number from prepare phase (mode "apply" only). |
| dispatch | string | – | "inline" (default) returns the retrospective prompt for the calling LLM to execute directly. "subagent" returns a Task() invocation prompt to dispatch the heavyweight reasoning to a fresh sub-agent.… |
| llm_response | string | – | Your raw output from executing the retrospective prompt (mode "apply" only). |
| llm_response_file | string | – | Absolute path to a file containing the zoom-out output (mode "apply" only). LOCAL stdio servers only — on the hosted connection the server cannot read files on your machine. Use when the response is… |
| mode | string | – | "prepare" returns the retrospective prompt. "apply" accepts your output. Defaults to "prepare" when omitted. |
No output schema declared.
No examples provided.
What is the PAPI: Persistent Adaptive Project Intelligence MCP server?
PAPI: Persistent Adaptive Project Intelligence is an MCP server listed in the public MCP registry as io.github.getpapi/papi. Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions. This page covers its npm package (@papi-ai/server).
Is the PAPI: Persistent Adaptive Project Intelligence MCP server safe to use?
PAPI: Persistent Adaptive Project Intelligence scores 77 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the PAPI: Persistent Adaptive Project Intelligence MCP server expose?
PAPI: Persistent Adaptive Project Intelligence exposes 56 tools: plan, strategy_review, strategy_change, strategy_agenda, board_view, and 51 more. Their descriptions and schemas cost roughly 18,191 tokens of context every time the server is loaded.
Is the PAPI: Persistent Adaptive Project Intelligence MCP server still maintained?
PAPI: Persistent Adaptive Project Intelligence is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the PAPI: Persistent Adaptive Project Intelligence MCP server under?
PAPI: Persistent Adaptive Project Intelligence declares the Elastic-2.0 licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.