DevRev
This DevRev MCP server, developed by Sunil Pandey, provides AI assistants with search and retrieval capabilities using the DevRev APIs. Built with Python and leveraging the MCP library, it offers tools for searching DevRev data and retrieving detailed information about specific objects. The server implements namespace-aware searching and object retrieval by ID. By abstracting the complexities of API communication, it allows AI systems to easily access and analyze DevRev data. This implementation is particularly valuable for DevRev users and developers working on integrations, enabling use cases such as automated issue tracking, customer support analysis, and data-driven decision making within the DevRev ecosystem.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/kpsunil97/devrev-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve DevRev from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.