Postcept/mcp
MCP server for Postcept
README
@postcept/mcp
A Model Context Protocol server that exposes Postcept, outcome verification for AI agents, as MCP tools.
After an agent performs a high-risk action (a refund, a subscription
cancellation, a support-ticket resolution), it calls a verify_* tool to confirm
the action actually completed in the system of record (Stripe, Zendesk, and more)
and obtain a signed completion receipt. "done" becomes proof, not a claim.
The server is a thin wrapper over the live Postcept HTTP API. It holds no credentials of its own beyond your Postcept API key, and verification is read-only against your systems of record.
Configuration
| Variable | Required | Default | Notes |
|---|---|---|---|
POSTCEPT_API_KEY |
yes | none | A Postcept API key (pcpt_sk_...) with verifications:write. |
POSTCEPT_BASE_URL |
no | https://api.postcept.com |
Point at a self-hosted or staging API. |
Create an API key in the Postcept dashboard under API keys.
Use with Claude Desktop / Claude Code
{
"mcpServers": {
"postcept": {
"command": "npx",
"args": ["-y", "@postcept/mcp"],
"env": { "POSTCEPT_API_KEY": "pcpt_sk_..." }
}
}
}
Tools
| Tool | Purpose |
|---|---|
verify_refund |
Verify a claimed refund (exists, amount/currency/customer match, not duplicated). |
verify_cancellation |
Verify a subscription was actually cancelled. |
verify_ticket |
Verify a support ticket is in the expected state. |
get_verification |
Fetch a past verification and its signed receipt by id. |
reconcile_verification |
Re-verify a past verification against the live system of record. |
verified_completion_rate |
Read the organization's Verified Completion Rate. |
Every verify_* tool accepts test: true to run against the deterministic
sandbox connector (excluded from your Verified Completion Rate), so an agent can
exercise the full flow without a live system of record.
A non-verified result (incomplete, duplicated, mismatched,
policy_failed) means the work is not done. Surface the gap and recover.
Advisory, by design
MCP puts the verification call in the agent's hands, which makes it the right integration for development, demos, and workflows where the agent's judgment is already trusted. It is advisory: an agent can skip the call, pass the wrong identifiers, or ignore the answer.
For consequential actions, enforce the decision outside the agent. The workflow
or orchestrator calls the Postcept API (or the SDK's guard()) itself and
branches on safe_to_claim_complete before anything customer-facing happens.
The agent then receives the allowed outcome instead of deciding it. Both
patterns use the same API and the same receipts, what changes is who owns the
branch.
Development
pnpm --filter @postcept/mcp build # compile to dist/
pnpm --filter @postcept/mcp typecheck
POSTCEPT_API_KEY=pcpt_sk_... node dist/index.js # stdio server
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.