Agent Response MCP
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Agent Response MCP setup and connection checker
Prepare Agent Response for AI workflows with a PipMCP setup doctor, agent instructions and authenticated connector discovery.
Activate with PipMCP · Integration directory
Build something useful
Prepare Agent Response and inspect your hosted setup
This repository is a setup utility. Availability depends on your actual hosted integration and connection.
Related MCP server: Adyen MCP setup and connection checker
Quick start
Requires Node.js 22+. Clone this repository, then:
npm ci --ignore-scripts
npm test
npm start
# After configuring your provider in PipMCP and setting PIPMCP_API_KEY:
npm start -- --live
# Launch the stdio MCP bridge:
npm run serverCreate a PipMCP API key with explicit connectors:read and connectors:call scopes. Set PIPMCP_API_KEY in the calling process environment. Provider credentials are configured in PipMCP. Multiple accounts require explicit PIPMCP_INTEGRATION_ID and PIPMCP_CONNECTION_ID from discovery. Existing keys do not gain scopes automatically.
Built for coding agents
Install this repository's skill into your project:
node lib/cli.mjs agents install --client codex --scope project --project /path/to/project
# Use claude or grok for those clients.Connect AI agents to Agent Response using one PipMCP API key and actual hosted tool discovery. Native AGENTS.md, CLAUDE.md and project skills support the current coding session. No additional AI model key is required. capabilities.json describes the package; llms.txt indexes its instructions.
Inspect actual tools before calling
import {PipMCPGatewayClient} from './lib/index.mjs';
const client = new PipMCPGatewayClient(); // PIPMCP_API_KEY
const inventory = await client.getTools("agent-response");
console.log(inventory.data.tools);
// Select a real tool and validate your arguments against its returned schema.
// client.callTool(provider, actualToolName, reviewedArguments, {idempotencyKey});PipMCP enforces workspace, role, connection, policy/approval and usage controls. Preserve the original idempotency key when retrieving/resuming a receipt. Pending and confirmation_required are not completed provider results; uncertain writes are held for reconciliation. The bridge never auto-approves a hosted action.
Version 1 migration
This release uses the authenticated PipMCP gateway for real discovery/execution. Upgrade your MCP launch command and configure PIPMCP_API_KEY before reconnecting. Historical local runtimes remain available under their original MIT license in Git history.
Evidence and support
Transport, package and agent fixtures are tested. Authentication/provider access must be checked in your own configured workspace; synthetic fixtures do not establish live provider execution. Do not include credentials or customer records in public issues. MIT covers this public client.
Use a manually imported API
If the provider is not already available in your workspace, import your reviewed API definition, publish the selected tools and configure its connection in PipMCP. Set PIPMCP_CONNECTOR_ID=custom-api together with PIPMCP_INTEGRATION_ID and, when needed, PIPMCP_CONNECTION_ID. Then run npm run doctor or npm run server. These select your published private API; they do not change the fixed PipMCP origin or bypass hosted authorization. Leaving PIPMCP_CONNECTOR_ID unset uses agent-response. Importing requires integrations:read and integrations:write on the same PipMCP key; discovery and calls use connectors:read and connectors:call.
Provider setup reference
Official provider documentation. Credentials are entered in PipMCP; this package does not accept or store provider secrets.
This server cannot be deployed
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