componecat
OfficialAllows managing Git-sourced documentation, including configuring, listing, updating, and removing Git repositories that provide Markdown documentation for catalog entities, as well as triggering syncs.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@componecatWhat downstream systems depend on the auth service?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Componecat MCP Server
Componecat is a software component catalog: a hierarchical, richly-typed registry of every system, service, and library your organization operates — with structured metadata, Git integration, hosted documentation, endpoint definitions, dependency relationships, and team ownership. Its MCP server gives AI agents the organizational context they're usually missing, so they can answer with your architecture instead of guessing.
This repository is the public home of the server's MCP registry metadata (server.json) and the @componecat/mcp stdio bridge. The server itself is part of the hosted Componecat app:
https://app.componecat.ai/api/mcpRegistry name: ai.componecat/componecat · Transport: Streamable HTTP · Website: componecat.ai · Docs: docs.componecat.ai
Catalogs are private and organization-scoped, so the endpoint requires authentication (see Authorization). You'll need a Componecat account — sign up at app.componecat.ai.
Install
VS Code
Click an install badge above, or add to your mcp.json:
{
"servers": {
"componecat": {
"type": "http",
"url": "https://app.componecat.ai/api/mcp"
}
}
}Claude Code
claude mcp add --transport http componecat https://app.componecat.ai/api/mcpClaude.ai / Claude Desktop
Add a custom connector: Settings → Connectors → Add custom connector, with URL https://app.componecat.ai/api/mcp.
Cursor
Add to Cursor, or add to ~/.cursor/mcp.json:
{
"mcpServers": {
"componecat": {
"url": "https://app.componecat.ai/api/mcp"
}
}
}ChatGPT
Add a connector in Settings → Connectors (developer mode) with the server URL https://app.componecat.ai/api/mcp.
Stdio-only clients
For clients that only speak stdio, the bridge in this repo proxies to the remote endpoint via mcp-remote (OAuth completes in your browser):
{
"mcpServers": {
"componecat": {
"command": "npx",
"args": ["-y", "@componecat/mcp"]
}
}
}Self-hosted Componecat instance? Point the bridge at it with COMPONECAT_MCP_URL=https://your-instance.example.com/api/mcp.
Related MCP server: NEAT MCP Server
Authorization
Componecat implements the standard MCP authorization flow with OAuth 2.1:
OAuth (authorization code + PKCE) — the usual path for interactive clients. The client discovers the authorization server automatically; dynamic client registration is supported, so most clients need no manual setup. Device flow is available for clients that can't open a browser.
Personal access tokens — bearer tokens for scripts and non-interactive clients.
Access is scoped: you grant an agent read or write access per resource category (catalog entities, teams, schema), and can scope a token down to specific entities. A read-only grant is enough for an agent that only needs context.
Tools
60 tools, each annotated with read-only / destructive / idempotent hints so clients can gate confirmation appropriately.
Search & browse
global_search · search_catalog (full-text with typo tolerance, or a structured query language — field:value, AND/OR/NOT, comparisons, ranges) · list_catalog_entities · get_catalog_entity · list_by_owner · list_entity_kind_definitions · get_current_organization
Relationships & impact analysis
get_relationships · get_relationship_kinds · add_relationship · remove_relationship · get_impact_analysis (transitive downstream impact of a change)
Interfaces & endpoints
get_interfaces · create_interface · update_interface · delete_interface · import_interface_spec (import OpenAPI/AsyncAPI specs)
Documentation
get_documentation · create_documentation_section · update_documentation_section · delete_documentation_section · list_documentation_links · create_documentation_link · update_documentation_link · delete_documentation_link
Git-sourced documentation (sections synced from Markdown in your repos)
configure_git_sourced_documentation · list_git_sourced_documentation · update_git_sourced_documentation · remove_git_sourced_documentation · sync_git_sourced_documentation
Activity log
list_activity_log_entries · add_activity_log_entry · delete_activity_log_entry
Catalog maintenance
create_catalog_entity · update_catalog_entity · delete_catalog_entity · update_entity_field_values
Schema definitions (entity kinds, custom fields, relationship kinds)
create_entity_kind_definition · update_entity_kind_definition · delete_entity_kind_definition · list_entity_field_definitions · create_entity_field_definition · update_entity_field_definition · delete_entity_field_definition · add_kind_field_assignment · update_kind_field_assignment · remove_kind_field_assignment · list_relationship_kind_definitions · create_relationship_kind_definition · update_relationship_kind_definition · delete_relationship_kind_definition
Teams & ownership
list_teams · get_team · create_team · update_team · delete_team · add_team_members · remove_team_member
Product documentation
list_componecat_documentation · read_componecat_documentation — Componecat's own docs, so an agent can walk you through setup instead of guessing.
The server also exposes the catalog as MCP resources: every entity is readable as its componecat.yaml descriptor, and a kind's entities can be listed without knowing the taxonomy in advance.
Typical workflows
Grounded code generation — before generating code for a service, the agent looks up its kind, languages, interfaces, and conventions.
Cross-service integration — the agent follows
depends-onedges, reads the target's interface spec, and writes a correct client.Impact analysis — before a change, the agent traverses transitive relationships to see what breaks downstream.
Ownership resolution — the agent finds the owning team to route a review or an escalation.
Documentation-grounded answers — runbooks and architecture notes answer questions with your context, not generic guesswork.
Links
Product documentation — including the Connect AI agents guide
License
The contents of this repository (registry metadata and the stdio bridge) are MIT licensed. The Componecat application itself is a hosted product and is not open source.
This server cannot be deployed
Maintenance
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The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
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