by kpsunil97
Integrate with DevRev to search, track issues, analyze customer support, and make data-driven decisions using DevRev API
Connects to DevRev's platform to search and retrieve issue tracking, customer support, and project data through their APIs.
DevRev is a community-built MCP server published by kpsunil97 that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with DevRev to search, track issues, analyze customer support, and make data-driven decisions using DevRev API It is categorized under productivity.
You can install DevRev in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
DevRev is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
DevRev reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, DevRev benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired DevRev into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
DevRev reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: DevRev is the kind of server we cite when onboarding engineers to host + tool permissions.
DevRev is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
DevRev is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
DevRev is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: DevRev surfaces stars and publisher context so we could sanity-check maintenance before adopting.
DevRev has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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A Model Context Protocol server for DevRev. It is used to search and retrieve information using the DevRev APIs.
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.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"
}
}
}
</details>
<details>
<summary>Development/Unpublished Servers Configuration</summary>
"mcpServers": {
"devrev": {
"command": "uv",
"args": [
"--directory",
"Path to src/devrev_mcp directory",
"run",
"devrev-mcp"
],
"env": {
"DEVREV_API_KEY": "YOUR_DEVREV_API_KEY"
}
}
}
</details>Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.