# How to integrate Blackbaud MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Blackbaud MCP with OpenAI Agents SDK",
  "toolkit": "Blackbaud",
  "toolkit_slug": "blackbaud",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/blackbaud/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/blackbaud/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:03:15.584Z"
}
```

## Introduction

This guide walks you through connecting Blackbaud to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Blackbaud agent that can create a new donor record for a fundraiser, list recent donations for a specific campaign, update contact info for an existing constituent through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Blackbaud account through Composio's Blackbaud MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Blackbaud with

- [Claude Agent SDK](https://composio.dev/toolkits/blackbaud/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/blackbaud/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/blackbaud/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/blackbaud/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/blackbaud/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/blackbaud/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/blackbaud/framework/cli)
- [Google ADK](https://composio.dev/toolkits/blackbaud/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/blackbaud/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/blackbaud/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/blackbaud/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/blackbaud/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/blackbaud/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Blackbaud
- Configure an AI agent that can use Blackbaud as a tool
- Run a live chat session where you can ask the agent to perform Blackbaud operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Blackbaud MCP server, and what's possible with it?

The Blackbaud MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc. directly to your Blackbaud account. It provides structured and secure access to your Blackbaud environment, so your agent can perform actions like managing fundraising campaigns, tracking donor engagement, handling financial records, and supporting nonprofit operations on your behalf.
- Fundraising campaign management: Enable your agent to create, update, or summarize key fundraising initiatives, track progress, and optimize campaign outcomes.
- Donor and constituent engagement: Automate the process of tracking donor information, recording interactions, and segmenting engagement strategies for better relationship management.
- Financial record keeping: Allow your agent to access, update, or reconcile financial transactions, ensuring your organization’s accounts remain accurate and up-to-date.
- Event planning and management: Let your agent coordinate event logistics, handle registrations, and track attendance to streamline in-person or virtual fundraising events.
- Grant and gift processing: Support your agent in processing incoming gifts or grants, managing acknowledgments, and keeping detailed records for compliance and reporting.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BLACKBAUD_ADD_GIFTS_TO_BATCH` | Add Gifts To Batch | Add one or more gifts (donations) to an existing gift batch in Blackbaud Raiser's Edge NXT. Use this tool when you need to: - Append new gifts to an open batch for later processing - Batch multiple donations together before committing them - Add gifts with detailed information (payments, splits, custom fields) Prerequisites: - The batch must already exist (use a create batch action first if needed) - The batch must be in "open" status (not committed) - You need the batch_id (system record ID) and constituent_id (donor ID) for each gift Note: This action returns response details for all HTTP status codes (including errors). Check the status_code field in the response to determine success (200) vs errors (4xx/5xx). |
| `BLACKBAUD_GET_GIFT_BY_ID` | Get Gift By ID | Retrieves comprehensive gift details from Blackbaud Raiser's Edge NXT by gift ID. Use this tool when you need to fetch detailed information about a specific gift including: - Gift amount and currency - Donor/constituent information - Gift type and status - Important dates (gift date, post date) - Associated metadata and custom fields The gift_id is the unique system record ID (integer) that identifies the gift in Raiser's Edge NXT. |
| `BLACKBAUD_GET_MEMBERSHIP_DETAILS` | Get Membership Details | Retrieves comprehensive membership details from Blackbaud Raiser's Edge NXT by member junction ID. Fetches detailed information about a specific membership including program name, category/subcategory, membership status and standing (Active, Lapsed), start/expiration dates, dues information, and associated constituent ID. Requires a valid member_junction_id (GUID) that uniquely identifies a membership junction record linking a constituent to a membership program in Raiser's Edge NXT. Returns error information in the response object for graceful error handling in agent workflows. |
| `BLACKBAUD_GET_PAYMENT_TRANSACTION` | Get Payment Transaction | Retrieves payment transaction details from Blackbaud SKY Payments API. Use this to check transaction status, amounts, payment methods, and error details. Transaction IDs come from payment processing endpoints, checkout callbacks, batch operations, or webhook notifications. Requires: Payments API subscription key (Bb-Api-Subscription-Key) and OAuth Bearer token. This retrieves existing transactions; it does not process new payments. |
| `BLACKBAUD_ONE_ROSTER_O_AUTH2_BASE_API` | OneRoster OAuth2 Base API | Tool to interact with Blackbaud OneRoster OAuth2 base endpoints. Use to fetch OpenID configuration (/.well-known/openid-configuration), JWKS key set (publickeys), or obtain an access token via the client credentials grant. Ensure client credentials are configured before using the token operation. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Blackbaud MCP server is an implementation of the Model Context Protocol that connects your AI agent to Blackbaud. It provides structured and secure access so your agent can perform Blackbaud operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Blackbaud project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Blackbaud.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only blackbaud.
- The router checks the user's Blackbaud connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Blackbaud.
- This approach keeps things lightweight and lets the agent request Blackbaud tools only when needed during the conversation.
```python
# Create a Blackbaud Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["blackbaud"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Blackbaud
const session = await composio.create(userId as string, {
  toolkits: ['blackbaud'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Blackbaud. "
        "Help users perform Blackbaud operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Blackbaud. Help users perform Blackbaud operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["blackbaud"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Blackbaud. "
        "Help users perform Blackbaud operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['blackbaud'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Blackbaud. Help users perform Blackbaud operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Blackbaud MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Blackbaud.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Blackbaud MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/blackbaud/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/blackbaud/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/blackbaud/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/blackbaud/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/blackbaud/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/blackbaud/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/blackbaud/framework/cli)
- [Google ADK](https://composio.dev/toolkits/blackbaud/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/blackbaud/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/blackbaud/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/blackbaud/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/blackbaud/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/blackbaud/framework/crew-ai)

## Related Toolkits

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- [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships.
- [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place.
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- [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing.
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- [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources.
- [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface.
- [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently.
- [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools.
- [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data.
- [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place.
- [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process.
- [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools.
- [Firmao](https://composio.dev/toolkits/firmao) - Firmao is a business information platform offering company, industry, and market data. Use it to quickly research firms and gain competitive market insights.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Blackbaud MCP?

With a standalone Blackbaud MCP server, the agents and LLMs can only access a fixed set of Blackbaud tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Blackbaud and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Blackbaud tools.

### Can I manage the permissions and scopes for Blackbaud while using Tool Router?

Yes, absolutely. You can configure which Blackbaud scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Blackbaud data and credentials are handled as safely as possible.

---
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