What makes PandaDoc notable?

1K downloads. Trust evidence available

How should PandaDoc be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

PandaDoc

Read and write PandaDoc workspace data Skill: PandaDoc Owner: maverick Summary: Read and write PandaDoc workspace data Tags: latest:1.0.2 Version history: v1.0.2 | 2026-08-01T20:54:41.740Z | user Use PandaDoc's official remote MCP with refreshable confidential-client OAuth v1.0.1 | 2026-05-21T10:04:49.550Z | user Convert skill metadata frontmatter to YAML v1.0.0 | 2026-05-05T18:47:24.027Z | user - Initial release of the maverick-pandadoc-mcp skill. - Prov

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.2release · observed Aug 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17b4scyfsybdcep8c0034pgs186087n:maverick-pandadoc-mcp

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-maverick-maverick-pandadoc-mcp/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

23,132 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: maverick-pandadoc-mcp
description: Read and write PandaDoc workspace data via PandaDoc's official hosted MCP server. Thin pass-through to the official PandaDoc MCP; the live tool catalog is whatever that server advertises. Use whenever the user asks about PandaDoc work or wants to read or write PandaDoc data.
metadata:
openclaw:
emoji: '📄'
homepage: https://developers.pandadoc.com/docs/getting-started-with-mcp
primaryEnv: MAVERICK_PANDADOC_MCP_REFRESH_TOKEN
requires:
bins:
- mcporter
env:
- MAVERICK_PANDADOC_MCP_REFRESH_TOKEN
- MAVERICK_PANDADOC_MCP_CLIENT_ID
- MAVERICK_PANDADOC_MCP_CLIENT_SECRET
- MAVERICK_PANDADOC_MCP_ACCESS_TOKEN
setup:
script: scripts/setup.sh
---

# PandaDoc

## How to use this skill

This skill is a thin pass-through to PandaDoc's hosted MCP server at `https://mcp.pandadoc.com/v1/mcp`. The live server is the source of truth for what tools exist, what they're called, what arguments they take, and any per-server instructions PandaDoc publishes.

**Step 1 - Discover the live tool catalog and PandaDoc's own usage instructions.** Always run this first; do not rely on tool names from memory:

```sh
mcporter --config {baseDir}/mcporter.json list maverick-pandadoc-mcp --schema
```

The output includes PandaDoc's `Instructions:` field (read it) and a JSON Schema for every tool's parameters. Treat this as the authoritative reference for the rest of the session.

**Step 2 - Call any tool from the catalog** using the form `maverick-pandadoc-mcp.<tool>`:

```sh
mcporter --config {baseDir}/mcporter.json call maverick-pandadoc-mcp.<tool> <arg>=<value> ...
```

Add `--output json` for structured output (also surfaces transport errors as JSON envelopes):

```sh
mcporter --config {baseDir}/mcporter.json call --output json maverick-pandadoc-mcp.<tool> ...
```

## Safety

Begin with read-only tools while exploring. Before any write-capable call, inspect the live schema and current target state, then confirm clear user intent for the specific records being changed. Never batch writes across multiple records without per-batch confirmation.

Explicit approval is required before creating or updating customer-visible content, changing recipients or workflow state, sending or reminding, or preparing or initiating signature and approval workflows. Never imply that a tool signs on behalf of a person unless the live schema and the user's explicit request establish that exact behavior.

The connected PandaDoc OAuth grant defines the ceiling of what these tools can do; the agent operates as that account. Treat write capability as scoped to whatever the granting user can do in PandaDoc's UI.

## Operational boundaries

- **Data leaves your machine.** Tool arguments and results transit PandaDoc's hosted MCP server at `https://mcp.pandadoc.com/v1/mcp` over HTTPS. Do not pass unrelated sensitive content through tool arguments; it will be sent to PandaDoc.
- **Provider

_meta.json

{
  "ownerId": "kn734qkn0pkds34pv28ksc0p7h81ha6e",
  "slug": "maverick-pandadoc-mcp",
  "version": "1.0.2",
  "publishedAt": 1785617681740
}

skill-card.md

## Description:

Read and write PandaDoc workspace data via PandaDoc's official hosted MCP server.

This skill is ready for commercial/non-commercial use.

## Publisher:

[maverick](https://clawhub.ai/user/maverick)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent users use this skill to discover PandaDoc's live MCP tool catalog, inspect PandaDoc workspace data, and make explicitly confirmed changes through the connected PandaDoc OAuth account.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The connected PandaDoc OAuth grant lets the agent read or write PandaDoc data within that account's permissions.

Mitigation: Begin with read-only inspection and require explicit user confirmation before write-capable calls or workflow changes.

Risk: Tool arguments and results are sent to PandaDoc's hosted MCP server.

Mitigation: Avoid sending unrelated sensitive content through tool arguments and keep requests limited to the user's PandaDoc task.

Risk: OAuth credentials are stored locally and can become stale or be revoked.

Mitigation: Keep credentials current, avoid reseeding stale tokens, and revoke or reauthorize the PandaDoc grant when access is no longer valid.

## Reference(s):

- [PandaDoc MCP documentation](https://developers.pandadoc.com/docs/getting-started-with-mcp)
- [PandaDoc MCP capability guide](https://developers.pandadoc.com/docs/what-you-can-do-with-pandadoc-mcp)
- [PandaDoc OAuth protected-resource metadata](https://mcp.pandadoc.com/.well-known/oauth-protected-resource/v1/mcp)
- [PandaDoc OAuth authorization-server metadata](https://mcp.pandadoc.com/.well-known/oauth-authorization-server)
- [mcporter configuration documentation](https://github.com/openclaw/mcporter/blob/v0.11.1/docs/config.md)
- [ClawHub skill page](https://clawhub.ai/maverick/skills/maverick-pandadoc-mcp)
- [Publisher profile](https://clawhub.ai/user/maverick)

## Skill Output:

**Output Type(s):** [Text, Markdown, Shell commands, Configuration, API calls, Guidance]

**Output Format:** [Markdown instructions with shell command examples and optional JSON tool output]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Uses PandaDoc's live MCP catalog as the tool source of truth; results may include PandaDoc workspace records visible to the connected OAuth account.]

## Skill Version(s):

1.0.2 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

mcporter.json

{
  "imports": [],
  "mcpServers": {
    "maverick-pandadoc-mcp": {
      "baseUrl": "https://mcp.pandadoc.com/v1/mcp",
      "transport": "http",
      "auth": "refreshable_bearer",
      "refresh": {
        "tokenEndpoint": "https://mcp.pandadoc.com/token",
        "clientIdEnv": "MAVERICK_PANDADOC_MCP_CLIENT_ID",
        "clientSecretEnv": "MAVERICK_PANDADOC_MCP_CLIENT_SECRET",
        "clientAuthMethod": "client_secret_post"
      }
    }
  }
}

agents/openai.yaml

interface:
  display_name: 'PandaDoc'
  short_description: 'Read and write PandaDoc workspace data'
  default_prompt: 'Discover the live PandaDoc tool catalog, begin with read-only inspection, and require explicit approval before any write-capable call.'

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