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GiveWP MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GiveWP through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "givewp": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using GiveWP, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
GiveWP
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GiveWP MCP Server

Connect your GiveWP (WordPress plugin) account to any AI agent to automate your donation data extraction and fundraising reporting through the Model Context Protocol (MCP). GiveWP is the most popular WordPress plugin for online giving. This MCP server enables you to retrieve donation forms, track individual donor profiles, and monitor real-time fundraising statistics directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with GiveWP through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

Key Features

  • Form Oversight — List all donation forms published on your WordPress site and fetch detailed configuration metadata and goal progress.
  • Donation Management — List all donations processed via the plugin, with support for filtering by specific forms or donors.
  • Donor Discovery — Retrieve detailed profile metadata for your unique donors and search across their giving history.
  • Real-time Analytics — Fetch high-level earnings and donation count statistics for your entire site or individual forms.
  • Read-only Security — Safely query your WordPress donation database with a secure integration designed for data visibility.
  • Plugin Transparency — Access high-level plugin metadata to verify API connectivity and account health.
  • Real-time Synchronization — Keep your self-hosted fundraising data accessible to your AI assistant without leaving your primary workspace.

The GiveWP MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GiveWP to LangChain via MCP

Follow these steps to integrate the GiveWP MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from GiveWP via MCP

Why Use LangChain with the GiveWP MCP Server

LangChain provides unique advantages when paired with GiveWP through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine GiveWP MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across GiveWP queries for multi-turn workflows

GiveWP + LangChain Use Cases

Practical scenarios where LangChain combined with the GiveWP MCP Server delivers measurable value.

01

RAG with live data: combine GiveWP tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query GiveWP, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain GiveWP tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every GiveWP tool call, measure latency, and optimize your agent's performance

GiveWP MCP Tools for LangChain (9)

These 9 tools become available when you connect GiveWP to LangChain via MCP:

01

find_donor_history

Search by donor

02

get_form_details

Get form metadata

03

get_form_performance

Get form stats

04

get_plugin_stats

Get general stats

05

list_donation_forms

List all forms

06

list_plugin_donations

List all donations

07

list_plugin_donors

List all donors

08

list_recent_donations

List latest records

09

verify_api_connection

Check connection

Example Prompts for GiveWP in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with GiveWP immediately.

01

"List all active donation forms on my website."

02

"Show me the donation history for donor 'jane@example.com'."

03

"Get the fundraising stats for the 'Annual Fund' form (ID: 987)."

Troubleshooting GiveWP MCP Server with LangChain

Common issues when connecting GiveWP to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GiveWP + LangChain FAQ

Common questions about integrating GiveWP MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect GiveWP to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.