DevRev MCP Server
Enables importing data from Salesforce into DevRev for search and retrieval via the DevRev APIs.
Enables importing data from Zendesk into DevRev for search and retrieval via the DevRev APIs.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DevRev MCP Server search for tickets assigned to me this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
DevRev MCP server
Overview
A Model Context Protocol server for DevRev. It is used to search and retrieve information using the DevRev APIs.
Related MCP server: Scrapeless MCP Server
Tools
search: Search for information using the DevRev search API with the provided query and namespace.get_object: Get all information about a DevRev object using its ID.
Configuration
Get the DevRev API key
Go to https://app.devrev.ai/signup and create an account.
Import your data from your existing data sources like Salesforce, Zendesk while following the instructions here.
Generate an access token while following the instructions here.
Usage with Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"devrev": {
"command": "uvx",
"args": [
"devrev-mcp"
],
"env": {
"DEVREV_API_KEY": "YOUR_DEVREV_API_KEY"
}
}
}"mcpServers": {
"devrev": {
"command": "uv",
"args": [
"--directory",
"Path to src/devrev_mcp directory",
"run",
"devrev-mcp"
],
"env": {
"DEVREV_API_KEY": "YOUR_DEVREV_API_KEY"
}
}
}Available Tools
2 toolsget_objectB
Get all information about a DevRev object using its ID
Inputs: id (required).
searchC
Search DevRev using the provided query
Inputs: query (required), namespace (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_object retrieves a specific object by ID, while search performs a broader query-based lookup. There is no overlap or ambiguity between these operations.
Both tools follow a consistent verb-based naming pattern (get_ and search), with clear, descriptive names that align well with their functions. No deviations or mixed conventions are present.
With only two tools, the server feels severely under-scoped for a DevRev platform, which typically involves objects like issues, tickets, or users. This minimal set lacks essential CRUD operations (e.g., create, update, delete) and limits agent functionality.
The tool surface is severely incomplete for a DevRev domain, offering only retrieval and search capabilities. There are no tools for creating, updating, or deleting objects, which are fundamental operations in such systems, leading to significant gaps in agent workflows.
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