Server data from the Official MCP Registry
Software component catalog: search your org's services, docs, APIs, dependencies, and ownership.
About
Software component catalog: search your org's services, docs, APIs, dependencies, and ownership.
Remote endpoints: streamable-http: https://app.componecat.ai/api/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Requires authentication · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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/mcp
Registry 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/mcp
Claude.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.
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
- Website
- REST API OpenAPI spec
- llms.txt
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.
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