DevRev▌
by kpsunil97
Integrate with DevRev to search, track issues, analyze customer support, and make data-driven decisions using DevRev API
Integrates with DevRev APIs to enable search and retrieval of DevRev data for automated issue tracking, customer support analysis, and data-driven decision making.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Customer support teams analyzing ticket patterns
- / Product managers tracking issue resolution
- / Development teams reviewing project status
capabilities
- / Search DevRev data across different namespaces
- / Retrieve detailed information about specific DevRev objects
- / Query issue tracking and customer support records
- / Access project management data from DevRev
what it does
Connects to DevRev's platform to search and retrieve issue tracking, customer support, and project data through their APIs.
about
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.
how to install
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.
license
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.
readme
DevRev MCP server
Overview
A Model Context Protocol server for DevRev. It is used to search and retrieve information using the DevRev APIs.
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"
}
}
}
</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>FAQ
- What is the DevRev MCP server?
- DevRev is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for DevRev?
- This profile displays 42 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★42 reviews- ★★★★★Mateo Gupta· Dec 28, 2024
DevRev reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Luis Ramirez· Dec 24, 2024
According to our notes, DevRev benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Dev Mensah· Dec 20, 2024
We wired DevRev into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sakshi Patil· Nov 19, 2024
DevRev reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Sofia Shah· Nov 15, 2024
Useful MCP listing: DevRev is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Liam Zhang· Nov 11, 2024
DevRev is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sofia Singh· Nov 11, 2024
DevRev is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Chaitanya Patil· Oct 10, 2024
DevRev is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kabir White· Oct 6, 2024
Strong directory entry: DevRev surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Soo Bhatia· Oct 2, 2024
DevRev has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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