Salesforce Object Server
БесплатноНе проверенEnables AI agents to explore Salesforce metadata by parsing object and field definitions, reducing hallucination when working with Salesforce repositories.
Описание
Enables AI agents to explore Salesforce metadata by parsing object and field definitions, reducing hallucination when working with Salesforce repositories.
README
A Model Context Protocol (MCP) server that helps AI agents understand Salesforce metadata by parsing .object-meta.xml and .field-meta.xml files. This server provides tools for discovering objects, fields, relationships, formulas, and validation rules to reduce AI hallucination when working with Salesforce repositories.
Features
- Universal Repository Support: Works with any Salesforce repository structure - no configuration needed
- Automatic Discovery: Recursively finds all
.object-meta.xmland.field-meta.xmlfiles - Comprehensive Object Information: Access object metadata, fields, relationships, and validation rules
- Smart Caching: In-memory caching with file modification time checks for fast responses
- Relationship Mapping: Bidirectional relationship discovery (both incoming and outgoing)
- Formula & Validation Support: Parse and understand formula fields and validation rules
- Search Capabilities: Full-text search across all metadata
Available Tools
1. list_objects
List all Salesforce objects in the repository.
Parameters:
includeStandard(optional): Include standard objects (default: true)pattern(optional): Filter by name pattern (case-insensitive)
Example:
{
"includeStandard": false,
"pattern": "Account"
}
2. get_object_details
Get comprehensive details about a specific object.
Parameters:
objectName(required): API name of the object
Example:
{
"objectName": "Account"
}
3. list_fields
List all fields for a specific object.
Parameters:
objectName(required): API name of the objectfieldType(optional): Filter by field type (Text, Lookup, Formula, etc.)
Example:
{
"objectName": "Account",
"fieldType": "Formula"
}
4. get_field_details
Get detailed information about a specific field.
Parameters:
objectName(required): API name of the objectfieldName(required): API name of the field
Example:
{
"objectName": "Account",
"fieldName": "AnnualRevenue"
}
5. find_relationships
Find all relationships for an object.
Parameters:
objectName(required): API name of the objectdirection(optional): "outgoing", "incoming", or "both" (default: both)
Example:
{
"objectName": "Contact",
"direction": "both"
}
6. search_metadata
Search across all metadata by keyword.
Parameters:
query(required): Search term (case-insensitive)scope(optional): "objects", "fields", or "all" (default: all)
Example:
{
"query": "revenue",
"scope": "fields"
}
7. get_validation_rules
Get validation rules for an object.
Parameters:
objectName(required): API name of the object
Example:
{
"objectName": "Opportunity"
}
Installation
Local Development
- Clone the repository:
git clone <repository-url>
cd SFObjectMCP
- Install dependencies:
npm install
- Build the project:
npm run build
- Run the server:
SF_REPO_PATH=/path/to/your/salesforce/repo npm start
Docker
- Build the Docker image:
docker build -t sf-object-mcp .
- Run the container:
docker run -it \
-e SF_REPO_PATH=/workspace \
-v /path/to/your/salesforce/repo:/workspace:ro \
sf-object-mcp
Docker Compose
- Edit
docker-compose.ymland update the volume mount:
volumes:
- /path/to/your/salesforce/repo:/workspace:ro
- Start the server:
docker-compose up
MCP Configuration
To use this server with an MCP client (like Claude Desktop), add the following to your MCP configuration file:
Using Local Installation
{
"mcpServers": {
"salesforce-metadata": {
"command": "node",
"args": ["/path/to/SFObjectMCP/dist/index.js"],
"env": {
"SF_REPO_PATH": "/path/to/your/salesforce/repo"
}
}
}
}
Using Docker
{
"mcpServers": {
"salesforce-metadata": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"SF_REPO_PATH=/workspace",
"-v",
"/path/to/your/salesforce/repo:/workspace:ro",
"sf-object-mcp"
]
}
}
}
Supported Formats
This server works with any Salesforce repository structure. It scans for .object-meta.xml and .field-meta.xml files anywhere in your repository, regardless of directory structure.
Examples of Supported Structures
Standard SFDX:
force-app/main/default/objects/Account/Account.object-meta.xml
Custom SFDX:
src-package/main/default/core/objects/Account/Account.object-meta.xml
Metadata API:
src/objects/Account.object
Any custom structure:
any-directory/objects/Account/Account.object-meta.xml
The scanner automatically finds all Salesforce metadata files regardless of where they're located in your repository structure.
How It Works
- First Tool Call: When the first tool is called, the server scans the repository for all
.object-meta.xmland.field-meta.xmlfiles - Parsing: XML files are parsed and converted into structured TypeScript objects
- Caching: Parsed metadata is cached in memory with file modification time tracking
- Relationship Mapping: The server builds a bidirectional relationship map
- Subsequent Calls: Future tool calls use the cache for fast responses
Development
Build
npm run build
Watch Mode
npm run watch
Development Mode
npm run dev
Troubleshooting
Error: SF_REPO_PATH environment variable is required
Make sure you've set the SF_REPO_PATH environment variable to point to your Salesforce repository.
No objects found
Ensure your repository contains .object-meta.xml files. The scanner searches the entire repository recursively, so metadata files can be in any directory structure. Common locations include:
force-app/main/default/objects/src-package/main/default/core/objects/src/objects/- Any custom directory containing an
objects/folder
Object/Field not found
The server only discovers objects and fields that have metadata files in the repository. Standard objects may not be present unless they've been customized.
Use Cases
- AI-Assisted Development: Help AI agents understand your Salesforce schema to provide accurate code suggestions
- Documentation: Generate documentation from metadata
- Schema Analysis: Understand relationships and dependencies
- Code Review: Validate field references and formula syntax
- Migration Planning: Map object and field usage
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Установка Salesforce Object Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/davep-gh/SFObjectMCPFAQ
Salesforce Object Server MCP бесплатный?
Да, Salesforce Object Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Salesforce Object Server?
Нет, Salesforce Object Server работает без API-ключей и переменных окружения.
Salesforce Object Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Salesforce Object Server в Claude Desktop, Claude Code или Cursor?
Открой Salesforce Object Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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