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Good Grants MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Create New Application, Get Application Details, List Account Users, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Good Grants as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Good Grants app connector for LlamaIndex is a standout in the Erp Operations category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Good Grants. "
            "You have 7 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Good Grants?"
    )
    print(response)

asyncio.run(main())
Good Grants
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About Good Grants MCP Server

Connect your Good Grants account to any AI agent and simplify how you coordinate your grant programs, track applicant data, and monitor the review process through natural conversation.

LlamaIndex agents combine Good Grants tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Application Oversight — List all grant applications and retrieve detailed metadata, status, and custom field values.
  • Review & Scoring — List and query application reviews and scores to monitor the evaluation progress.
  • Fund Management — List available grant funds and programs to coordinate your funding distribution.
  • User & Applicant CRM — Manage your directory of users and team members registered in the system.
  • Categorization — List and query grant categories to organize your programs and maintain a structured database.
  • Operational Automation — Create new grant applications programmatically and verify configurations via AI commands.
  • Real-time Status — Check the progress of individual applications and verify reviewer assignments directly from the agent.

The Good Grants MCP Server exposes 7 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Good Grants tools available for LlamaIndex

When LlamaIndex connects to Good Grants through Vinkius, your AI agent gets direct access to every tool listed below — spanning grant-management, application-tracking, workflow-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_new_application

Register a new application

get_application_details

Get details for a specific application

list_account_users

List account users

list_application_reviews

List reviews

list_applications

List Good Grants applications

list_grant_categories

List grant categories

list_grant_funds

List grant funds

Connect Good Grants to LlamaIndex via MCP

Follow these steps to wire Good Grants into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 7 tools from Good Grants

Why Use LlamaIndex with the Good Grants MCP Server

LlamaIndex provides unique advantages when paired with Good Grants through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Good Grants tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Good Grants tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Good Grants, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Good Grants tools were called, what data was returned, and how it influenced the final answer

Good Grants + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Good Grants MCP Server delivers measurable value.

01

Hybrid search: combine Good Grants real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Good Grants to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Good Grants for fresh data

04

Analytical workflows: chain Good Grants queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Good Grants in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Good Grants immediately.

01

"List all active grant applications in my account."

02

"Show me the reviews and scores for application 'app_10293'."

03

"Create a new application titled 'Youth Tech Workshop' in the 'Education' category."

Troubleshooting Good Grants MCP Server with LlamaIndex

Common issues when connecting Good Grants to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Good Grants + LlamaIndex FAQ

Common questions about integrating Good Grants MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Good Grants tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.