About codev
codev MCP connects AI agents to live Salesforce delivery data managed in codev. It is intended for teams investigating project status, build and release outcomes, validations, and connected work items, with access governed by the signed-in user's codev role.
Key features
- 01Discover projects and repository settings
- 02Track builds, releases, and deployments
- 03Inspect validation and test results
- 04Read connected work items
- 05Explore environments and pool capacity
- 06Query delivery performance insights
Use cases
- 01Check what is deployed or pending
- 02Investigate failed builds or validations
- 03Review compliance and code analysis findings
- 04Fetch or release a pool environment
MCP support
Provides a remote MCP endpoint over Streamable HTTP. Interactive clients authenticate with OAuth 2.1, and tool calls use the signed-in user's codev permissions; application tokens are available for controlled automation.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://{tenant}.flxbl.io/sfp/api/mcpclaude mcp add --transport http flxbl-io-codev https://{tenant}.flxbl.io/sfp/api/mcp{"mcpServers":{"flxbl-io-codev":{"type":"http","url":"https://{tenant}.flxbl.io/sfp/api/mcp"}}}Open in Cursor{"servers":{"flxbl-io-codev":{"type":"http","url":"https://{tenant}.flxbl.io/sfp/api/mcp"}}}Open in VS Code{"mcpServers":{"flxbl-io-codev":{"type":"http","url":"https://{tenant}.flxbl.io/sfp/api/mcp"}}}{"mcpServers":{"flxbl-io-codev":{"serverUrl":"https://{tenant}.flxbl.io/sfp/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEcodev MCP
Bring live Salesforce project delivery context into your AI agent.
codev MCP gives AI agents a secure, live view of the Salesforce projects your team manages in codev. Connect Claude, Codex, GitHub Copilot, or any client that supports MCP over Streamable HTTP to understand delivery state, investigate failures, and act with the same permissions you have in codev.
What your agent can do
With codev MCP, an agent can:
- Discover Salesforce projects and their repository configuration.
- Follow builds, release candidates, releases, and what is deployed or pending in each environment.
- Inspect pull-request validations, deployment and test results, code analysis, compliance findings, and review status.
- Read connected work items from Jira, Azure DevOps, or GitHub.
- Explore registered environments, Salesforce orgs, pool capacity, assignments, and review environments.
- Query delivery performance insights for a project.
- Fetch, extend, and release a pool environment for the signed-in user.
Most capabilities are read-only. The pool environment actions are the state-changing operations, and interactive users can manage only their own assignments.
Connect
Every codev instance exposes an MCP endpoint at:
https://<your-tenant>.flxbl.io/sfp/api/mcp
Replace <your-tenant> with your codev tenant subdomain. Do not put credentials in the client configuration: interactive clients discover codev's OAuth 2.1 authorization server and open browser sign-in when they first connect.
Claude Code
claude mcp add --transport http codev https://<your-tenant>.flxbl.io/sfp/api/mcp
Run /mcp in Claude Code and select codev to complete sign-in.
Codex
codex mcp add codev --url https://<your-tenant>.flxbl.io/sfp/api/mcp
codex mcp login codev
Cursor
Install codev from the Cursor Marketplace and enter your codev tenant subdomain when prompted. For example, if your codev URL is https://acme.flxbl.io, enter acme.
Cursor then connects to the tenant's MCP endpoint and opens codev sign-in through OAuth when authentication is required. The marketplace configuration never stores a password or access token.
GitHub Copilot and other clients
Use this generic MCP configuration:
{
"mcpServers": {
"codev": {
"type": "http",
"url": "https://<your-tenant>.flxbl.io/sfp/api/mcp"
}
}
}
In VS Code with GitHub Copilot, place the configuration in .vscode/mcp.json. Claude Desktop and claude.ai users can add the URL as a custom connector.
To verify the connection, ask your agent:
List the available pools.
Authentication and identity
Interactive connections use OAuth 2.1. Each tool call runs with the signed-in user's codev role, and pool checkouts are attributed to that user's email.
CI jobs and scripted agents can use a codev application token in an Authorization: Bearer header. Application tokens are intended for controlled automation and can act independently of an individual user, so store them in a secret manager and grant access carefully.
Registry and implementation
This repository is the public home for codev's MCP registry metadata and connection documentation. The remote MCP implementation is delivered as part of codev; it is not duplicated in this repository and remains governed by the codev product licence.
The registry definition is maintained in server.json and published to the official MCP Registry for standards-based discovery. Downstream catalogs, including GitHub's public MCP Registry, decide independently when and which entries to index.
Documentation and support
- Connect an agent to codev
- Complete MCP tools and actions reference
- codev product overview
- Report a documentation or connection issue
For a security concern, follow the private reporting process in SECURITY.md.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.