Skip to main content
Glama

pega-mcp-server

Generic TypeScript MCP server for Pega case operations with definition-driven tool registration.

Purpose

This project provides an MCP tool layer for reading and mutating cases in a flexible way. Tool wiring is metadata-based, so adding tools does not require editing server registration logic.

Related MCP server: Swagger/Postman MCP Server

Supported MCP Tools

  • pega.get_cases

    • Input: optional limit

    • Returns: { ok: true, data: { cases: [...] } }

  • pega.get_case

    • Input: caseId, optional viewType, pageName, originChannel

    • Returns: { ok: true, data: { case: ... } }

  • pega.get_case_actions

    • Input: caseId, optional originChannel

    • Returns: { ok: true, data: { actions: ... } }

  • pega.get_case_views

    • Input: caseId, viewId, optional originChannel

    • Returns: { ok: true, data: { view: ... } }

  • pega.attach_document_to_case

    • Input: caseId, fileName, mimeType, fileContentBase64

    • Returns: { ok: true, data: ... }

  • pega.submit_case_action

    • Input: caseId, action, optional content

    • Returns: { ok: true, data: ... }

All tools return a standard failure format:

{
  "ok": false,
  "error": {
    "code": "INVALID_INPUT | NOT_FOUND_OR_FORBIDDEN | INTERNAL_ERROR",
    "message": "Human-readable explanation",
    "suggestion": "Optional recovery guidance"
  }
}

Environment Variables

Required:

  • PEGA_BASE_URL (for example https://your-pega-instance.example.com/prweb)

  • PEGA_CLIENT_ID

  • PEGA_CLIENT_SECRET

  • PEGA_TOKEN_URL (for example https://your-pega-instance.example.com/prweb/PRRestService/oauth2/v1/token)

Optional:

  • PEGA_CASES_API_BASE_PATH (default: /api/v1)

    • Common v2 path when base URL includes /prweb: /api/application/v2

    • Some deployments use app context: /PRAuth/app/work-manager/api/application/v2

  • PEGA_CASES_LIST_DATA_VIEW (default: D_pyMyWorkList)

    • Used as a fallback for pega.get_cases when GET /cases is not supported (HTTP 405)

    • Endpoint shape: POST <PEGA_CASES_API_BASE_PATH>/data_views/<dataViewId>

  • PEGA_ENABLED_TOOLS comma-separated tool names to allowlist

    • Example: pega.get_case,pega.get_case_actions

  • PEGA_DISABLED_TOOLS comma-separated tool names to blocklist

    • Example: pega.submit_case_action,pega.attach_document_to_case

Run Locally

npm install
cp .env.example .env
npm run dev

Build

npm run build
npm start

Test

npm test

Example Outputs

pega.get_cases

{
  "ok": true,
  "data": {
    "cases": [
      {
        "ID": "C-501",
        "caseType": "Insurance Claim",
        "status": "Pending Documents"
      }
    ]
  }
}

pega.get_case

{
  "ok": true,
  "data": {
    "case": {
      "ID": "C-501",
      "caseType": "Insurance Claim",
      "status": "Pending Documents",
      "uiResources": {
        "root": {
          "type": "page"
        }
      }
    }
  }
}

Detailed request/response contracts:

Install Server
F
license - not found
A
quality
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    -
    quality
    -
    maintenance
    Enables AI agents to dynamically discover and interact with APIs through Swagger/OpenAPI specifications and Postman collections using a strategic four-tool approach. It streamlines API integration by providing universal tools for endpoint discovery, detailed request information, and authenticated execution.
    Last updated
    1
  • A
    license
    B
    quality
    B
    maintenance
    Exposes over 300 Operaton BPM REST operations as tools for AI agents to interact with the Operaton engine. It enables managing process deployments, instances, user tasks, and decision tables through natural language commands.
    Last updated
    100
    28
    Apache 2.0

View all related MCP servers

Related MCP Connectors

  • SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.

  • Gateway between LLM agents and world data through eight tools and a bundled endpoint catalog.

  • Runtime permission, approval, and audit layer for AI agent tool execution.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/amirmcs/Pega-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server