virtuous-mcp

virtuous-mcp

An MCP server that enables AI assistants to interact with Virtuous CRM+ through the entire API, with reads allowed freely and mutating operations requiring explicit user confirmation.

Category
Visit Server

README

Virtuous CRM+ MCP Server

An MCP server, built with FastMCP, that lets an AI assistant work with Virtuous CRM+: query and read data freely, and—only with explicit user confirmation—create, update, archive, or delete data.

It provides complete coverage of the entire Virtuous API (all 291 endpoints across 39 resource groups) through a small set of convenience tools plus a generic discovery + call layer, so any endpoint can be reached without needing a separate tool per endpoint.

Safety model: reads are free, writes require confirmation

Reading (querying, searching, looking up, listing reference data) runs freely.

Every tool that changes data is "mutating" and is guarded in three layers:

  1. Instructions — the server and each mutating tool tell the model it must describe the exact change and get explicit user approval before acting.
  2. confirm flag — every mutating tool takes confirm (default false). With confirm=false the tool makes no API call and returns a preview of what it would do, so the model can show the user and ask.
  3. Client backstop — the HTTP client raises ConfirmationRequired if a write is ever attempted without explicit confirmation, so an accidental confirm=true is the only way a write can happen.

A request is classified as a read if it's a GET, or a POST to a /Query, /QueryOptions, /Search, /Find, or /Proximity path. Everything else is a write.

Operational protocols

The HTTP layer is aligned with Virtuous's documented operational behavior:

  • Connection pooling — a single httpx.AsyncClient is reused for the life of the process (per base URL), so TLS/keep-alive connections are reused instead of re-established on every call.
  • Rate limits — Virtuous enforces an org-wide budget (documented at 5,000 requests/hour) shared by every API key/integration in the org, and returns X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset on every response. The client records the latest values; call get_rate_limit_status to inspect remaining budget.
  • Retries + backoff — transient 429 and 5xx responses are retried (up to 3 times). 429 waits honor Retry-After / X-RateLimit-Reset; otherwise an exponential backoff with jitter is used.
  • Pagination — query endpoints cap at 1000 records/call; query_all auto-pages (with a hard ceiling) so you don't manually loop skip/take.
  • Bulk writescreate_batch posts many contacts/gifts in one request via the recommended batch endpoints, conserving the shared rate budget.

Tools

Full-API discovery + generic call

The entire API is reachable through these. Use discovery to find the exact method + path, then call_endpoint to invoke it.

Tool Purpose
list_resources() List all 39 resource groups and their read/write endpoint counts.
list_endpoints(resource, search, only) Discover any endpoint (filter by resource, text search, or reads/writes).
describe_endpoint(method, path) Full metadata + parameters for one endpoint.
call_endpoint(method, path, path_params, query_params, body, confirm) Invoke any endpoint. Reads run freely; writes obey the confirmation gate.

call_endpoint resolves :placeholders in the path from path_params (e.g. /api/Contact/:contactId + {"contactId": 123}), and works even for endpoints not in the bundled registry.

Read tools (no confirmation)

Tool Purpose
list_query_object_types List queryable object types + reference-data keys.
get_query_options(object_type) Discover queryable fields, data types, and allowed operators for an object.
query_records(object_type, groups, sort_by, descending, skip, take, full_detail) Run a filtered bulk query (single page).
query_all(object_type, groups, sort_by, descending, max_records, page_size, full_detail) Auto-paginate a query up to max_records (caps pages; reports rate-limit budget).
get_record(object_type, record_id) Fetch a single record by id.
find_contact(email | reference_source+reference_id) Look up one contact.
search_contacts(search, skip, take) Fuzzy free-text contact search.
get_gifts_by_contact(contact_id) All gifts for a contact.
get_contact_notes(contact_id, important_only) Notes for a contact.
get_individuals_by_contact(contact_id) Individuals that make up a contact.
get_reference_data(key) Lookup lists: contact/gift/project/task types, tags, custom fields, org groups, etc.
get_current_context() Current organization + the API key's permissions.
get_rate_limit_status() Latest observed rate-limit headers (remaining org-wide budget + reset time).
read_request(path, params) Escape hatch for arbitrary read-only GET calls.

Write tools (MUTATING — require confirm=true after explicit user approval)

Tool Purpose
create_transaction(kind, body, confirm) Recommended way to import a single Contact or Gift (matched/validated).
create_batch(kind, body, confirm) Bulk-import many Contacts or Gifts in one request (rate-limit-friendly).
create_record(object_type, body, confirm) Create a record (e.g. ContactNote, ContactTag, Task, Relationship).
update_record(object_type, record_id, body, confirm) Update a record (PUT).
archive_record(object_type, record_id, unarchive, confirm) Archive/unarchive a record.
delete_record(object_type, record_id, confirm) Destructive delete.
write_request(method, path, body, confirm) Escape hatch for any other write (cancel recurring gift, write off pledge, send email, toggle webhook, etc.).

With confirm omitted/false, write tools (and call_endpoint on a write endpoint) return a confirmation_required preview and change nothing.

Note: call_endpoint is the universal way to reach any write endpoint and is subject to the same confirmation gate. The dedicated write tools above are just ergonomic shortcuts for the most common operations.

How queries work

A query body is made of groups. Conditions within a group are AND-ed; separate groups are OR-ed. Each condition is:

{ "parameter": "<field name>", "operator": "<operator>", "value": "<value>" }

Use get_query_options to get the exact parameter and operator strings for an object. Example: contacts created on/after 2024-01-01, sorted by id desc:

{
  "object_type": "Contact",
  "groups": [
    { "conditions": [
      { "parameter": "Create Date", "operator": "GreaterThanOrEqual", "value": "01/01/2024" }
    ] }
  ],
  "sort_by": "Id",
  "descending": true,
  "take": 100
}

Query endpoints return at most 1000 records per call; use skip/take to page manually, or query_all to auto-paginate up to a max_records ceiling.

Setup

  1. Get a Virtuous API key: in Virtuous, Settings → All Settings → Connectivity → Application Keys → Create an Application Key.
  2. Copy .env.example to .env and set VIRTUOUS_API_KEY.

This project uses uv. Install dependencies:

uv sync

Run

VIRTUOUS_API_KEY=your_key uv run virtuous-mcp

The server speaks MCP over stdio.

Use with an MCP client (e.g. Cursor / Claude Desktop)

Add to your MCP client config:

{
  "mcpServers": {
    "virtuous-mcp": {
      "command": "uv",
      "args": ["run", "--directory", "/Users/cole.j.cantu/Programs/custom-mcp/virtuous-mcp", "virtuous-mcp"],
      "env": { "VIRTUOUS_API_KEY": "your_api_key_here" }
    }
  }
}

Configuration

Env var Required Default Description
VIRTUOUS_API_KEY yes Bearer API key / Application Key.
VIRTUOUS_BASE_URL no https://api.virtuoussoftware.com API base URL.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured