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Glama

DevRev MCP Server

Official
by devrev

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
get_current_user

Fetch the current DevRev user details. When the user specifies 'me' in the query, this tool should be called to get the user details.

get_vista

Retrieve information about a vista in DevRev using its ID. In DevRev a vista is a sprint board which contains sprints (or vista group items). The reponse of this tool will contain the sprint (or vista group item) IDs that you can use to filter on sprints.

search

Search DevRev using the provided query

get_work

Get all information about a DevRev work item (issue, ticket) using its ID

create_work

Create a new work item (issue, ticket) in DevRev

update_work

Update an existing work item (issue, ticket) in DevRev

list_works

List all work items (issues, tickets) in DevRev

get_part

Get information about a part (enhancement) in DevRev using its ID

create_part

Create a new part (enhancement) in DevRev

update_part

Update an existing part (enhancement) in DevRev

list_parts

List all parts (enhancements) in DevRev

list_meetings

List meetings in DevRev

valid_stage_transition

gets a list of valid stage transition for a given work item (issue, ticket) or part (enhancement). Use this before updating stage of the work item or part to ensure the transition is valid.

add_timeline_entry

Add a timeline entry to a work item (issue, ticket) or part (enhancement)

get_sprints

Get active or planned sprints for a given part ID. Use this to get the sprints for an issue based on its part.

list_subtypes

List all subtypes in DevRev for a given leaf type

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/devrev/mcp-server'

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